Syniti Data Migration Tool Jobs in Usa

The Manager - Data Science and Analytics plays a critical role in revenue and margin management for the Merchandising organization by performing various pricing analyses to exceed the financial targets. This highly visible individual will manage the daily and weekly promotions for print and digital marketing vehicles, so to be successful, strong analytical skills and business savviness is vital. This Team Member will develop and use analytics tools to draw insights and provides actionable recommendations while exhibiting higher-order critical thinking under ambiguous situations.

Major Activities

• Machine Learning Forecasting: Maintain, regularly run, and potentially adjust time-series forecasting pipelines with backtesting, accuracy diagnostics, drift detection, and ongoing monitoring.
• Pricing optimization: Maintain, regularly run and potentially adjust pricing/markdown optimization engines (e.g., Gurobi, CP-SAT), including feasibility checks, constraint adjustments, relaxations, and scenario analysis.
• Mathematical modeling: Translate new business rules (e.g., new constraints for pricing) into robust mathematical formulations.
• Production engineering: Maintain a modular codebase across forecasting, optimization, and data workflows; keep ensure code quality, test coverage, and documentation. Maintain overrides to handle data quality issues.
• Reporting & impact measurement: Own reporting for the pricing engine, turn recommendations into stakeholder-ready insights and quantify business impact.
• Cross-functional collaboration: Partner with Merchants and Pricing Advisory to translate business needs into features for retail pricing algorithm
• Develop and implement user-friendly analytics dashboards and tools that perform complex analysis manipulating large data sets to identify actionable business insights
• Initiate, partner with internal teams on process improvement initiatives
• Ad-hoc projects as identified by the supervisor

Other duties as assigned

Preferred Education/Experience

• Bachelor’s Degree or equivalent experience required.
• Advanced MS Excel required.
• Proficiency in forecasting and machine learning: Ability to build and deploy time-series forecasting models including feature engineering and robust backtesting & monitoring.
• Data manipulation and analysis: Strong ability to work with large datasets using Python (pandas/NumPy) and SQL, performing clean feature creation and diagnostic analysis.
• Data Engineering: Previous experience building DBT ETLs on cloud-based warehouses like BigQuery and working in Vertex AI.
• Problem-solving ability: Strong analytical skills to decompose complex business problems, balance solution quality vs runtime, and implement pragmatic fallbacks.
• Master’s degree in economics, data analytics, or math related field preferred

Minimum Type of Experience Required

• 7+ years of relevant work experience

Other

• SQL and Python required, Tableau or Power BI is preferred

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

EPC Project Management Consulting is actively seeking a detail-driven and highly organized Construction / Project Planner to join our team, supporting a high-profile hyperscale data center client on-site in Colorado City, TX

In this role, you will be responsible for developing, maintaining, and monitoring project schedules throughout all phases of construction—from pre-construction through commissioning. You will work closely with project managers, engineers, contractors, and client representatives to ensure critical path milestones are met and risk to schedule is effectively managed.

This is a full-time, on-site role, ideal for someone with deep knowledge of construction planning principles and tools, particularly within complex, fast-paced environments like data centers. $20,000 relocation assistance is available for the right candidate.

• Location: Colorado City, TX
• Start Date: Negotiable
• Work Type: Hybrid with travel
• Salary: $120,000 - $175,000

Benefits Include:

• 8% 401(k) Employer Contribution
• Unlimited PTO
• 100% Employer-Paid BCBS Healthcare (employee, spouse, and dependents)
• 100% Dental & Vision Coverage
• Education Reimbursement
• $100,000 Life Insurance Coverage

Key Responsibilities:

• Develop and maintain detailed project schedules for large-scale data center construction projects using Primavera P6, Microsoft Project, or equivalent tools.
• Collaborate with project managers, superintendents, and subcontractors to create realistic timelines for design, procurement, construction, testing, and commissioning.
• Analyze schedule impacts, forecast delays, and recommend corrective actions to maintain project milestones.
• Perform critical path and risk analysis to identify schedule risks and opportunities.
• Track and report on schedule progress against baseline, including earned value metrics.
• Support change management processes by evaluating the impact of design or construction changes on schedule.
• Prepare and deliver progress reports, lookahead schedules, and executive summaries for stakeholders.
• Participate in client and contractor meetings, offering planning expertise to align execution with overall strategy.
• Coordinate closely with commercial, procurement, and construction teams to ensure integration of key milestones across disciplines.

Qualifications & Requirements:

• 5–10 years of experience as a Project Planner or Scheduler, preferably within data centers, mission-critical, or large-scale infrastructure projects.
• Strong knowledge of construction planning and sequencing across trades including civil, structural, MEP, and commissioning phases.
• Proficiency in Primavera P6, MS Project, and planning analytics tools (e.g., TILOS, Synchro 4D, or Power BI a plus).
• Experience managing and analyzing baseline schedules, resource loading, and schedule performance indicators.
• Familiarity with construction contracts (AIA, FIDIC, NEC) and their implications on schedule.
• Excellent communication and coordination skills with both internal teams and external contractors.
• Bachelor's degree in Construction Management, Engineering, Project Controls, or a related discipline preferred.
• Ability to thrive in fast-paced, client-facing environments with tight deadlines and evolving priorities.

We are looking for a manager to join our Data and Technology team with the Client Growth Analytics group at BPN. A successful candidate should be a product-minded, hands-on individual with a strong understanding of technical buildouts, strong leadership skills, entrepreneurial spirit and interest in media and marketing.

You will be critical in helping establish a suite of automation tools & products for a large pharmaceutical client. Curiosity and passion for automation, data management, digital data and new technologies, is a must!

Primary day to day tasks will include working with teams across Initiative to gather requirements and information on workstreams which can be streamlined, developing complex buildout blueprints, leading coding & technical work and communicating with key stakeholders.

A successful candidate will have a wide variety of skills in media, technology, data, and cross team management.

Key Responsibilities:

Essential Functions:

• 
  
• Collaborate with other company teams to identify existing procedures and identify areas for automation / improvement.
  
• Engage proactively with key stakeholders and end users to collaboratively define, assess, and prioritize business needs across the organization.
  
• Responsible for designing major programming & buildout blueprints and executing development work on said requirements.
  
• Translate high-level requirements into detailed user stories and use cases that design, and development teams can easily implement.
  
• Contribute to certain strategic planning activities and operational improvement initiatives.
  
• Assist in developing marketing and training materials, and be the subject matter expert to provide demos, education, and training to drive adoption of the product.
  
• Assist the management and mentoring of a team, ranging from entry level staff to managers.
  

Required Skills & Experience:

• 
  
• 3+ years of automation development work
  
• Intermediate or better SQL skills
  
• Expert in Excel from basics (pivoting, VLOOKUP's, data manipulations, etc.) to advanced skills (macro creation, custom programming, developing plugins, etc.) is a must.
  
• 2 years of Programming in Python or C++
  
• Excellent organizational skills: capacity to manage multiple priorities and tasks simultaneously and communicate with all levels of management.
  

Desired Skills & Experience:

• 
  
• Experience with advertising technologies or operations (media planning, buying, reporting) is a plus.
  
• Experience working with data from digital channels (DCM, Meta, AdWords, Bing, etc.) is a plus.
  
• Previous management experience is a plus.
  
• Experience working with databases, SQL, tableau and other tools are a necessity, specifically Snowflake.
  
• Advanced Programming Experience in Python and/or C++, with a strong understanding of object-oriented programming
  
• Excellent written and oral communication skills including presentation experience to large and diverse audiences.
  
• Exceptionally self-motivated and directed.
  
• Experience advocating and driving product adoption and usage.
  
• Superior analytical, evaluative, and problem-solving abilities.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.

The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position, please .

Description

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines to support the bank's analytics, reporting, and decision-making processes. Working closely with analysts, reporting, integration teams and business stakeholders to ensure high-quality, secure, and efficient data solutions that comply with financial regulations and industry standards.

Below is a list of essential functions of this position. Additional responsibilities may be assigned in the position.

KEY RESPONSIBILITIES

• Build and maintain data models, schemas, and databases (e.g., data warehouses, data lakes) to support business intelligence, machine learning, and reporting needs.
• Ensure data is optimized for performance, reliability, and scalability, minimizing latency and maximizing throughput.
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using cloud and SQL technologies
• Implement data quality checks, monitoring, and validation processes to ensure accuracy, consistency, and compliance with regulatory requirements.
• Partner with business analyst, data Integration, Automation, and IT Teams to understand data requirements and deliver solutions that align with business goals.
• Ensure data adherence to strict security protocols and regulatory standards including encryption, access controls, and audit trails.
• Champion data governance, quality standards, and performance optimization.
• Create and maintain comprehensive documentation for data schemas, processes and systems to ensure transparency and reproducibility.

ATTITUDES

Builds positive relationships with internal and external clients by valuing other's feelings and rights in both words and actions, and embracing other's unique beliefs, backgrounds, and perspectives by demonstrating:

• Respect - treat every client and colleague with dignity and respect.
• Client Focus - Design scalable and reliable data pipelines that directly support the client's business goals and decision-making needs. Actively engage with stakeholders to understand evolving requirements and deliver solutions that provide timely, actionable insights
• Inclusion - Support a diverse work environment by building data systems that are accessible, equitable, and considerate of user needs, while actively seeking input from voices across all backgrounds and roles.

BEHAVIORS

Demonstrates strong business ethics and honest behaviors and the ability to positively influence and work with others to achieve excellent results by demonstrating:

• Leadership - Proactively drives data strategy, mentoring peers, and sets high standards for quality, innovation, and collaboration across teams.
• Integrity - Establish and enforce program governance frameworks, including change control and release management.
• Collaboration - Works with stakeholders across all departments to drive data efforts. Serves as a key contributor between business stakeholders and technical teams.
• Volunteerism - Use your skill beyond the role by mentoring others, helping teammates, and supporting meaningful causes.

COMPETENCIES

Reflects skill, good judgement, positive conduct, and personal responsibility for assigned areas. Seeks to implement and leverage services and technologies that create efficiencies by demonstrating:

• Accountability - Takes ownership of work, ensuring data systems are reliable and accurate. Promptly addresses issues or errors with transparency and responsibility.
• Innovation - Embrace new ideas, new tools, and bold thinking; challenge the status quo.
• Professionalism - consistently demonstrates courteous behavior, integrity, and strong work ethic while representing the bank with a polished appearance and clear communication.

POSITION LEVEL(S) EXPECTATIONS

• Strong understanding of Data Models, databases, schemas, and security methodologies.
• Excellent leadership, strategic thinking, and stakeholder management skills.

SEEKS PROFESSIONAL DEVELOPMENT OPPORTUNITIES

Actively participate in expanding skill sets and career paths by attending training programs, workshops, certifications, and educational resources relevant to the role. Set stretch assignments and cross functional opportunities that foster growth and learning.

Requirements

QUALIFICATIONS, EDUCATION, & EXPERIENCE

To perform this position successfully, an individual must be able to perform each essential position requirement satisfactorily, and a skills inventory is listed below.

• Bachelor's degree in a technology related program or 3-5 years' experience a data related field.
• Strong understanding of data architecture and data base design principles.
• Strong leadership and communication skills across technical and non-technical audiences.
• 3-5 Years experience in Data roles.
• Proficiency in languages such as Python, Java, Scala, or SQL.
• Experience in financial services (banking, insurance, wealth management).
• Excellent problem-solving and communication skills, with a collaborative mindset.
• Demonstrated leadership and self-direction.
• A background screening will be conducted.

LANGUAGE SKILLS: Ability to read, comprehend, and interpret documents. Possesses professional communication and interpersonal skills to write and speak effectively both one-on-one and before groups of clients or employees of the organization. Ability to communicate to clients directly and effectively.

TECHNOLOGY SKILLS: Ability to utilize telephone systems and possess good digital literacy including email, internet and intranet use. Strong understanding of Salesforce platform capabilities and implementation methodologies.

MATHEMATICAL SKILLS: Ability to add, subtract, multiply, and divide in all units of measure.

REASONING ABILITY: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to solve challenging problems involving several variables in a standardized situation.

PHYSICAL DEMANDS AND WORK ENVIRONMENT: The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this position.

This position operates in a professional office environment with considerable time spent at a desk using office equipment such as computers, phones, and printers. Ability to travel on occasion to all market areas and attend seminars or training sessions offsite and employee meetings off-site.

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

DISCLAIMER: This job description is not an exclusive list of responsibilities and duties. They may change at any time without notice.

BENEFITS

• Medical, Dental, Vision & Life Insurance
• 401K with company match
• Paid Time Off & Recognized Holidays
• Leave policies
• Voluntary Benefit Options (Life, Accident, Critical Illness, Hospital Indemnity & Pet)
• Employee Assistance Program
• Employee Health & Wellness Program
• Special Loan and Deposit Rates
• Gradifi Student Loan Paydown Plan
• Rewards & Recognition Programs and much more!

Eligibility requirements apply.

CNB Bank is an equal opportunity employer and all applicants are considered based on qualifications without regard to sex, race, color, ancestry, religious creed, national origin, sexual orientation, gender identity, physical disability, mental disability, age, marital status, disabled veteran or Vietnam era veteran status. CNB Financial Corporation is an Affirmative Action Employer and is committed to fostering, cultivating and preserving a culture of diversity and inclusion.

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Open date: October 14, 2025

Most recent review date: Friday, Nov 14, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Mar 31, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation's premier public universities. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 33,070 undergraduate students, 12,812 graduate students, and 1,525 faculty members. The Library comprises 20 campus libraries, including the Doe Library, the Moffitt Library, the Bancroft Library, the C.V. Starr East Asian Library, and numerous subject specialty libraries. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive resources in all formats and robust services to connect users with the collections and build their research skills.

The Library Data Services Program (LDSP) guides scholars to discover, access, share, and preserve data through dataset acquisition, discovery, and librarian-led instruction and consultations. LDSP works with UC Berkeley librarians and library staff to provide internal professional development and training opportunities to enhance our data management skills and provide data services for our users. LDSP provides data services to all disciplines at UC Berkeley through collaboration with librarians and library staff in the Library's divisions including Arts and Humanities, Instruction Services, Sciences, and Social Sciences.

Responsibilities

The Data Instruction and Outreach Librarian will work in partnership with and under the guidance of the Data Services Librarian in the Library Data Services Program. Librarians and staff in the Library Data Services Program collaborate closely with subject librarians and library staff to provide data support for researchers, faculty, and students who are using data in research, teaching, and learning. This librarian will actively participate in the Library's instruction services-providing consultations, teaching workshops, and designing instructional content.

The Data Instruction and Outreach Librarian will develop and maintain a scaffolded approach to data instruction that includes: supporting novice users, including undergraduate students, who may be unaccustomed to working with data; providing instruction and outreach for the library's licensed datasets and platforms; and collaborating with subject and instruction librarians to teach data literacy, ethics, analysis, and visualization. This position also works to integrate data literacy and data science pedagogical practices into the library's instructional portfolio, with a special focus on undergraduates. Since using AI in data analysis workflows is becoming more common, the librarian will help faculty, researchers, and students use licensed AI tools in conjunction with ethical and legal use of library resources, as well as within the broader University context.

The librarian will engage with the Research Data Management Program. This unique program bridges the UC Berkeley Library and Research IT to conduct outreach related to data management, storage, and sharing. UC Berkeley, through entities like the Library, the College of Computing, Data Science, and Society, the D-Lab, the Berkeley Institute for Data Science, and the Berkeley Initiative for Transparency in the Social Sciences, actively supports the development of research and classroom environments that champion transparency and reproducibility. The successful incumbent will collaborate with these campus partners and librarians to facilitate open research practices and workflows where possible.

UC Berkeley librarians are expected to participate in library-wide planning and governance and work effectively in a shared decision-making environment. Advancement is partially based upon professional contributions beyond the primary assignment; the successful candidate will show evidence or promise of such contributions to the Library, campus, UC System, and profession.

The UC Berkeley Library is committed to supporting and encouraging respect and empathy, and nurturing a culture where all employees thrive. The Library seeks candidates who recognize and appreciate one another's contributions, expertise, and accomplishments and will strive to provide equitable access to a diverse set of collections and services. For more information, please see the UC Berkeley Library Statement of Values.

UC professional librarians are academic appointees and are represented by an exclusive bargaining agent, the University Council - American Federation of Teachers (UC-AFT). This position is in the bargaining unit. Librarians are entitled to appropriate professional development leave, vacation leave, sick leave, and all other benefits granted to non-faculty academic personnel. The University has an excellent retirement system and sponsors a variety of group health, dental, vision, and life insurance plans in addition to other benefits. This is an externally funded appointment.

This position is eligible for some remote work. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.

UC Berkeley Library Website:

UC Berkeley Library statement of values: about/library-values

Advanced degree or enrolled in an advanced degree program.

• 
  
• Advanced degree.
  
• Two years of experience providing reference and instructional services in an academic or professional setting.
  

• 
  
• Master's degree from an American Library Association (ALA) accredited institution program or equivalent degree.
  
• Demonstrated commitment to the Library's values.
  
• Demonstrated analytical, presentation, and communication skills.
  
• Demonstrated ability to provide effective instruction and training related to digital literacy, artificial intelligence, technology skills, and/or research data management.
  
• Experience working with some languages, platforms, and environments to support interactive, computational research, such as Python, R, Jupyter, GitHub, and/or Unix Shell.
  
• Participation in The Carpentries or other data science education program.
  
• Demonstrated experience working effectively with all staff in a highly collaborative, matrixed environment.
  
• Experience working collaboratively with multiple stakeholders in an academic environment.
  
• Experience accessing, creating, analyzing, or manipulating qualitative and/or quantitative data for academic research purposes. This may include experience with datasets in the sciences (e.g. astronomy, ecology, genomics) or social sciences (e.g., government, financial, survey).
  
• Demonstrated knowledge and application of data ethics including awareness of key topics related to artificial intelligence, data privacy, security, and bias as well as legal uses of licensed and open data.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• 3-5 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Team & Mission

The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.

Role Summary

We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.

What you'll do:

• 
  
• Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
  
• Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
  
• Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
  
• Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
  
• Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
  
• Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
  
• Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
  

What we're looking for:

• 
  
• BS+ in Computer Science (or related field) or equivalent practical experience.
  
• 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
  
• Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
  
• Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
  
• Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
  
• Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
  
• Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-REMOTE

#LI-KK6

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest's long-term success. We're looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.

What you'll do:

• 
  
• Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
  
• Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
  
• Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.
  
• Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
  
• Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
  
• Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems.
  
• Proficiency in leveraging large datasets for performance analysis and gap identification.
  
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
  
• Expertise in SQL and Python
  
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
  
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
  
• Experience leading key technical projects and substantially influencing the scope and output of others
  
• Experience in digital ad delivery stacks preferred
  

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices: San Francisco, CA or Seattle, WA.

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Akkodis is seeking an Engineering Technician role is a Contact with a clientin Santa Clara, CA (Onsite), We’re ideally looking for an applicant with 4+ years of equivalent experience in a Lab or Datacenter environment. Visio and CAD experience for Lab R&D projects and Rack Management. Experience with handling PDUs and Power in Labs.

Pay Range: $63-$65/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Summary

• We're looking for a motivated Engineering Technician (Contract) for support our Colossus quality assurance labs. In this role, you will be faced the challenge of providing a test-bed for our developers to test software on various hardware before releasing them.
• Additionally, collaborate with Infrastructure Engineers, installing and maintaining Windows/Linux platforms and using creativity while finding solutions.
• We expect things to break in this lab, as the software is mostly low-level device drivers, and the bugs in them do break boards and GPUs.
• We seek to catch problems early in our labs rather than in user devices.
• Our labs run more than 100,000 tests per day and is part of a DevOps pipeline that needs constant supervision, tracking, monitoring and break-fix.

What you'll be doing:

• Handling Labs and Datacenters using DCIM Tools, spreadsheets and task tracking tools.
• Your responsibilities will also include defining standards in labs to keep them safe, clean and organized.
• Deploy test boards that run automated tests from a Software Developers and triage and root cause board issues which are not due to hardware or software issues but, that potentially have test setup issues.
• Remove and redeploy boards that need software and/or hardware upgrades from board engineers in a regular cadence.
• Work closely and pro-actively with other engineering teams such as system architects, chip and board designers, software/firmware engineers, HW/SW QA teams and Applications engineering teams to drive design, development, debug and release of next generations products.
• Take active part in procurement decisions for Lab by choosing from various options available, getting test copies and doing proof of concepts and then providing recommendations.
• Collect data for critical metrics for the lab and track progress.

What we need to see:

• Associates or Bachelors Degree in a Tech related Major or 4+ years of equivalent experience in a Lab or Datacenter environment.
• Ability to perform well at work without requiring constant manager supervision.
• Ability to do deploy and cable servers and test equipment.
• Basic user level understanding of Unix/Windows, and Networking with Enterprise Switches and Routers.
• Skills to work with teammates of various abilities and experiences.
• Ability to find tasks where you need help from sys-admins and communicate those, coordinate with them to integrate those solutions
• Perseveration to debug a hard problem and out of box thinking to seek those.
• To be successful in this position, you should have a love of working with close-knit, multi-disciplinary teams, and enjoy hands-on work with state of the art platforms.

Ways to stand out from the crowd:

• Visio and CAD experience for Lab R&D projects and Rack Management.
• Lab/Datacenter Procurement Experience.
• Experience with handling PDUs and Power in Labs.
• System administrator level experience on Unix/windows and knowledge of scripting to automate workflows (bash/python).
• Basic knowledge of Git/Perforce to check-out, edit and check-in scripts.
• Ability to write SQL queries to get data from MySQL DBs.

If you feel this is not something that you are currently interested in, but know of someone, that might be, please share the details with them or let me know their details so I can reach out to them!

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance

Description

The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium ( ) funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model.

The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration.

Responsibilities

• Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager.
• Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility.
• Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management.
• Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance.
• Mentor junior engineers in data warehousing, data engineering skills, and operational support.
• Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON).
• Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation.
• Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs.
• Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support.
• Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching.
• Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach.
• Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations.
• Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost.
• Identify improvements in procedures, technology, compliance, and data privacy/security.
• Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring.
• Perform related duties as assigned.

Qualifications

• Bachelor’s degree in a technical field; Master’s preferred.
• 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses.

Preferred

• Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development.
• Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent.
• Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git.
• Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff.
• Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment.
• Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet).
• Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL.
• Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations.
• Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

As a Data Steward Senior Analyst, you are part of a team responsible for enabling and supporting compliance with data-related enterprise policies within their domains/business units. You and your team are responsible for identifying critical data and associated risks, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Issues are remediated. You have the opportunity to partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.

In addition, this role will play a key part in effectively communicating new and updated data-related policies to the teams responsible for compliance. The individual must be skilled in preparing clear, engaging presentations that translate formal policy language into practical, easy-to-understand guidance and “tell the story” behind the policy requirements. The role will also support the delivery of training sessions, facilitate policy office hours, and serve as a go-to resource for questions related to data governance and retention compliance.

Your Primary Responsibilities may include:

• Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention (primary), Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.

• Develop training materials and educate organization on Record Retention and Deletion processes and procedures.

• Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.

• Collaborate with and influence product managers to ensure all new use cases are managed according to policies.

• Influence and contribute to strategic improvements to data assessment processes and analytical tools.

• Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.

• Subject matter expertise on multiple platforms.

• Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.

Qualifications include:

• 5 + years of experience in a similar role involved with ensuring compliance with Record Retention and Deletion policies.

• Strong communication skills and ability to influence and engage at multiple levels and cross functionally.

• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.

• 5+ years of Data Quality Management experience.

• Strong familiarity with data architecture and/or data modeling concepts

• 5+ years of experience with Agile or SAFe project methodologies

• Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.

• Preferred: Experience in Travel Industry.

• Preferred: Knowledge of RCSA (Risk Control Self-Assessment) methodology

Leadership Skills may include:

• Makes Decisions Quickly and Effectively: Drives effective outcome through decision making authority. Displays judgement and discretion in order to ensure deliverables are sufficient to the American Express policy and overall compliance.

• Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.

• Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.

• Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.