Define Array In Data Structure And Algorithm Jobs Salary Jobs in Usa

Our client, a luxury fashion brand, is seeking a CRM Data Analyst Temp to join their NYC team on a temporary basis.

Responsibilities:

• Transform complex client analyses into clear, concise, and visually engaging PowerPoint presentations, influencing stakeholders through compelling data-driven narratives.
• Use product knowledge of our systems, tools, and the client database to identify and implement innovative approaches to client analysis
• Create insightful reports that enable data-driven decisions for home office partners, and proactively explore and implement automation opportunities to enhance efficiency
• Collaborate with key home office partners (e.g. VIC, Fashion Expertise, Events, Retail Operations, Merchandising teams) to support respective team goals and inform strategies with client data
• Dynamically support boutiques with complex client reporting needs and initiatives
• Spend time with boutique teams to understand their individual needs and collaborate on ways to support Fashion Advisors with client data and client tools
• Liaise with divisional counterparts to unlock synergies and align on key initiatives and priorities
• Demonstrate expert-level knowledge of current client data tools (Salesforce, Looker) to pull with speed, and proactively identify and communicate process improvements to enhance efficiency and effectiveness of reporting and segmentation tools as needed
• Project manage the implementation of database and/or tool enhancements from concept to QA and final delivery in order to meet the evolving needs of business partners and team, collaborating closely with Tech to translate business requirements into actionable technical specifications

Qualifications:

• 7+ years experience in data analytics or strategy/business intelligence role
• Experience with Salesforce
• Experience with Looker Studio
• Prior professional experience collaborating with cross-functional partners to design and launch a new technical platform
• Familiarity with IT functions, including system architect and landscape
• Expertise in Excel and PowerPoint
• Ability to communicate ideas effectively to a range of audiences (written & verbal)
• Luxury retail and/or brand experience preferred

Please submit your resume for consideration.

You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

The Director of Data Management and Analytics drives the data architecture strategy across the organization. This role is a subject matter expert in data architecture who translates business needs into technical specifications, provides research, data analysis, and delivery options to support data driven solutions. This leader provides well organized and excellent communication with business partners to build relationships and anticipate user needs. The director provides hands-on leadership, recommends system architecture, and is versed in all aspects of solution development including requirements definition, design, data source mapping and analysis, development, testing, implementation, and post implementation support.

KEY RESPONSIBILITIES

• Developing and implementing data management strategies
• Manage all intake requests across business units; track and monitor requests to ensure critical milestones are met while managing stakeholder relations.
• Lead a team of database and Power BI developers
• Leverage Data Modeling and AI tools
• Managing data quality and accuracy
• Overseeing data storage and retrieval
• Leading data analysis efforts including analyzing large quantities of data and identifying useful insights to drive business decisions
• Determine budgeting for staff and resources
• Gathering and verifying requirements, conducting unit testing and troubleshooting
• Accountable for transferring data, knowledge, and best practices to impact the delivery of products and services that align with Bioworld’s strategic needs
• Mentoring and training direct reports
• Ensure all data warehouse and operating procedures are fully documented and maintained
• Create and Automate reporting to support daily operational functions
• Coordinate cross-departmentally to support conceptualization and development of data handling methodologies, solutions and initiatives.
• Creating and presenting data visualizations
• Communicating business insights and project goals

QUALIFICATIONS AND EXPERIENCE

• Experience designing data management solutions for ecommerce, sales, accounting, and warehousing
• Strong analytical and problem-solving skills are required. Must have the ability to be systematic and detailed oriented without losing sight of the big picture. Demonstrated ability to interpret the information provided and ask clarifying questions to understand the underlying needs that of a stated request or problem.
• Background in data warehouse design (e.g. dimensional modeling) and data mining
• Proven experience as a SQL Developer or Data Scientist
• Experience designing cloud solutions (PaaS/SaaS) for compute, storage, and data source connectivity
• Demonstrated experience designing and managing solutions built on Microsoft Azure including Synapse and Fabric technologies.
• Demonstrated knowledge of SDLC, ITSM, privacy, and security concepts.
• Strong project management acumen
• Strong technical documentation skills
• Significant application development experience including requirements analysis, design, development, testing, implementation, and post implementation support is required. Experience must include the documentation and maintenance of related artifacts.
• Excellent written and oral communication skills; able to flex style based on the audience are required.
• Well-developed interpersonal skills
• Able to manage multiple tasks simultaneously.
• Highly self-motivated with ability to follow directed priorities.
• Keen attention to detail
• Team-oriented and collaborative leadership

EDUCATION REQUIREMENT

Bachelor’s degree in Computer Science, Data Analytics, Business Management, or similar discipline with a minimum 7 years of data architecture and solution development experience driving IT projects in consumer products, ecommerce, or similar related field.

BUSINESS HOURS

• Hours of operation: Monday-Friday: 8:30am – 5:30pm CST to overlap with USA operations; extended work hours depending on volume.
• On-call availability for resolving emergency issues from home.

Job Description

Driver will be doing data collection and mapping while covering the following areas of Denver-Aurora-Lakewood

• Safely operate company-provided vehicles on public roads

• Drive assigned routes for data collection and mapping

• Monitor in-vehicle systems during data collection

• Perform daily vehicle inspections before driving

• Follow defined driving and data collection procedures

• Perform basic system checks and calibrations as trained

• Coordinate daily with operations teams on routes and schedules

• Ensure collected data is transferred according to instructions

• Assist with basic technical equipment setup and troubleshooting

• Document and report issues clearly and promptly

Additional Skills & Qualifications

• Valid U.S. Driver's License

• Clean driving record; background check and MVR required

• Field Services or Data Collection experience

• Ability to drive 6–8 hours per day

• Reliable, punctual, and comfortable working independently

• Willingness to follow procedures consistently

• Basic computer and technical skills

• Strong communication skills

• Willingness to learn new tools and processes

This is a Contract position based out of Denver, CO.

The pay range for this position is $30.00 - $30.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

This is a fully onsite position in Denver,CO.

This position is anticipated to close on Mar 20, 2026.

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at .

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

LHH Recruitment Solutions has partnered with a growing organization, and they are seeking a motivated Manufacturing Data & Sales Analyst to join their team. Seeking a data-driven analytics professional who thrives at the intersection of manufacturing operations, business intelligence, and executive decision support. This is a high-impact role for someone who enjoys building insight from the ground up—designing dashboards, automating reporting, owning data integrity, and translating complex information into clear, actionable business outcomes.

Why This Role Stands Out:

• High visibility and direct partnership with senior leadership.
• Opportunity to own and evolve enterprise-level analytics and reporting.
• Manufacturing environment where data truly drives strategy.
• Long-term growth potential in a stable, well-capitalized organization.

Key Responsibilities:

Data, Analytics & Reporting:

• Design, build, and continuously enhance dashboards, scorecards, and KPI reporting to support operational and commercial performance.
• Translate raw data into meaningful insights that influence decision-making at the executive level.
• Automate recurring reports and analytics processes to improve efficiency, accuracy, and scalability.
• Analyze trends related to revenue, production performance, forecasting, and product initiatives.

Manufacturing & Cross-Functional Partnership:

• Collaborate closely with Operations, Finance, IT, and Commercial teams to align data, metrics, and performance goals.
• Support forecasting, planning cycles, and performance reviews with reliable, actionable analytics.
• Identify risks, opportunities, and performance gaps within data sets and recommend solutions.

Systems & Data Ownership:

• Act as the primary owner of manufacturing and sales-related data systems, ensuring usability, accuracy, and value.
• Lead continuous improvement of reporting tools and system integrations.
• Partner with internal and external stakeholders to enhance system reporting capabilities.
• Champion data governance, consistency, and best practices across the organization.

Qualifications and Skills:

• Bachelor’s Degree in Data Science, Analytics, Business Intelligence, or a related field
• Proven experience building and maintaining dashboards, scorecards, and analytics tools.
• Background supporting a manufacturing environment.
• Strong ability to own data end-to-end—from extraction to interpretation to executive presentation.
• Experience automating reporting and analytics processes.
• Advanced analytical, problem-solving, and critical-thinking skills.
• Ability to clearly communicate insights to both technical and non-technical audiences.
• Advanced proficiency with Excel, reporting platforms, and Microsoft Office Suite.
• Advanced proficiency in SQL, PowerBI, and/or Tableau.
• Experience with IQMS is preferred.
• Strategic mindset with exceptional attention to detail.

Compensation Range: $90,000 - $120,000 + 15% Bonus

Benefits Offered: 2 weeks of vacation, paid sick leave where applicable by state law, Medical Insurance, Dental Insurance Vision Insurance, 401K, and Life Insurance.

If you are a passionate Manufacturing Data & Sales Analystlooking for anew and rewarding career, please apply today! You don’t want to miss out on this opportunity!

LHH is a leader in permanent recruitment—and in the placement of top talent. Our areas of specialty include office administration, customer service, human resources, engineering, and supply chain and logistics. Please feel to check us out and apply for other opportunities if this role isn’t a perfect match.

Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

About Cygnus Professionals, Inc.

Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients.

For further information about CYGNUS, please visit our website Title: Data Architect

Location: Princeton, New Jersey – Onsite

W2 Contract

Job Summary

We are seeking an experienced Data Architect to design, build, and maintain scalable data architecture solutions supporting enterprise analytics, data integration, and digital transformation initiatives. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to design robust data models, data pipelines, and enterprise data platforms that support advanced analytics and reporting.

Key Responsibilities

• Design and implement enterprise data architecture frameworks and best practices.
• Develop logical and physical data models for enterprise data platforms.
• Architect data lakes, data warehouses, and data integration solutions across cloud and on-prem environments.
• Collaborate with data engineers and application teams to build scalable data pipelines and ETL/ELT processes.
• Ensure data governance, data quality, security, and compliance standards are implemented across the data ecosystem.
• Evaluate and recommend data technologies, tools, and frameworks aligned with enterprise strategy.
• Provide architectural guidance for cloud-based data platforms (AWS/Azure/GCP).
• Optimize performance for large-scale data processing and analytics workloads.
• Support business intelligence, reporting, and advanced analytics initiatives.

Required Qualifications

• 10+ years of experience in data architecture, data engineering, or enterprise data management.
• Strong experience with data modeling (conceptual, logical, physical).
• Expertise with data warehouse and data lake architectures.
• Hands-on experience with ETL/ELT tools and data integration platforms.
• Experience with SQL and large-scale data platforms (Snowflake, Redshift, BigQuery, etc.).
• Experience working with cloud data platforms (AWS, Azure, or GCP).
• Strong understanding of data governance, data quality, and metadata management.
• Experience with big data technologies (Spark, Hadoop, Kafka) is a plus.

Preferred Skills

• Experience in Healthcare, Pharmaceutical, or Life Sciences domain.
• Knowledge of Master Data Management (MDM) and data catalog tools.
• Familiarity with BI tools such as Tableau, Power BI, or Looker.
• Strong communication skills to interact with business and technical teams.

Education

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.

Cygnus Belief

We believe in our commitment to diversity & inclusion.

Equal Employment Opportunity Statement

Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have work authorization.

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: June 9, 2025

Most recent review date: Tuesday, Jun 24, 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, Jan 12, 2027 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.

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.

About DSUS

Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.

Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.

DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.

DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Responsibilities

DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.

Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar

Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.

Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.

Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.

Department: dsus

Division:

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.

Advanced degree. Candidates must already be authorized to work in the United States.

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

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

  
  

• Cover Letter

  
  

• Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

  
  

• 3-4 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
  

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• Set the technical strategy for data engineering solutions and data architecture which includes end to end data pipeline strategy, consumption management, project scoping, and data automation.
  
• Design, develop, and optimize data engineering solutions using Snowflake, DBT, Azure Data Factory, and Alteryx.
  
• Continuously assess and optimize the data engineering technology stack to ensure scalability, performance, and alignment with industry best practices.
  
• Implement best practices for data modeling, ETL/ELT processes, and automation.
  
• Own and maintain the Snowflake data warehouse roadmap and engineering standards.
  
• Lead data project scoping, prioritization, and resource allocation to ensure timely delivery of data engineering solutions.
  
• Ensure data integrity, security, and compliance across all engineering solutions.
  
• Collaborate with IT and rest of data teams to align solutions with enterprise
  
• Establish documentation and governance standards for data engineering workflows ensuring completeness, audit readiness, and traceability in alignment with enterprise architecture.
  
• Directly supervise the Data Architecture & Data Engineering team in accordance with Nicolet's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching, mentoring and development planning; rewarding and disciplining employees; addressing complaints and resolving problems.
  

• 
  
• Bachelor's degree in Computer Science, Data Engineering, Data Analytics or related field.
  
• 7+ years in data engineering or related data roles required.
  
• 3+ years in leadership or management positions required.
  
• Strong technical expertise in Snowflake, DBT, Azure Data Factory and SQL or like systems.
  
• Familiarity with Alteryx, UiPath, Tableau, Power BI and Salesforce is preferred.
  
• Ability to design and implement scalable data solutions.
  
• Excellent leadership, communication, and organizational skills
  
• Ability to balance hands-on development with team development.
  
• Must be able to work fully in-office. This position does not allow for remote work.
  

• 
  
• Medical, Dental, Vision, & Life Insurance
  
• 401(k) with a company match
  
• PT0 & 11 1/2 Paid Holidays
  

Open date: February 24, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 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.

This postdoctoral opportunity brings together faculty from UC Berkeley's School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D-Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2-year college, and 4-year university contexts. A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students.

We seek applicants with complementary relevant skill-sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high-quality, ethical Data Science Education teaching, curriculum, and scholarship. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this positon.

The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non-academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.

Duties of Position:

Year 1: Researchers will work with specialists among the faculty in Computer Science, Data-Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.

Year 2: Researchers will engage with a year-long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title. They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley's annual Data Science Education convening.

Department:

Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.

Doctoral degree (or equivalent international degree). No more than three years of post-degree research experience by start date.

*Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical computing tools and languages.

*Teaching or tutoring experience at K-12, community college, and/or university levels.

*Experience with a variety of educational institutions (e.g. regional, or liberal arts colleges; 2-year colleges; high schools; informal learning environments).

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

  
  

• Letter of interest - One page long, detailing professional goals and aspirations for research given what they know of the opportunity

  
  

• 2 required (contact information only)

References will only be contacted for those candidates under serious consideration. Letters of support should speak to the candidate's strengths with respect to both disciplinary experience (e.g. in Data Science, Computer Science, Statistics, and/or related fields) and experience in educational research and/or practice (e.g., as a tutor, curriculum developer, or related to academic studies in Education, Learning Sciences, Cognitive Science, Educational Psychology, or related fields).

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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.

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• "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.
  
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Job Title – Lead Data Engineer

Please note this role is not able to offer visa transfer or sponsorship now or in the future

About the role

As a Lead Data Engineer, you will make an impact by designing, building, and operating scalable, cloud‑native data platforms supporting batch and streaming use cases, with strong focus on governance, performance, and reliability. You will be a valued member of the Data Engineering team and work collaboratively with cross‑functional engineering, cloud, and architecture stakeholders.

In this role, you will:

• Design, build, and operate scalable cloud‑native data platforms supporting batch and streaming workloads with strong governance, performance, and reliability.
• Develop and operate data systems on AWS, Azure, and GCP, designing cloud‑native, scalable, and cost‑efficient data solutions.
• Build modern data architectures including data lakes, data lakehouses, and data hubs, with strong understanding of ingestion patterns, data governance, data modeling, observability, and platform best practices.
• Develop data ingestion and collection pipelines using Kafka and AWS Glue; work with modern storage formats such as Apache Iceberg and Parquet.
• Design and develop real‑time streaming pipelines using Kafka, Flink, or similar streaming frameworks, with understanding of event‑driven architectures and low‑latency data processing.
• Perform data transformation and modeling using SQL‑based frameworks and orchestration tools such as dbt, AWS Glue, and Airflow, including Slowly Changing Dimensions (SCD) and schema evolution.
• Use Apache Spark extensively for large‑scale data transformations across batch and streaming workloads.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Atlanta, GA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

• Hands‑on experience developing and operating data systems on AWS, Azure, and GCP.
• Proven ability to design cloud‑native, scalable, and cost‑efficient data solutions.
• Experience building data lakes, data lakehouses, and data hubs with strong understanding of ingestion patterns, governance, modeling, observability, and platform best practices.
• Expertise in data ingestion and collection using Kafka and AWS Glue, with experience in Apache Iceberg and Parquet.
• Strong experience designing and developing real‑time streaming pipelines using Kafka, Flink, or similar streaming frameworks.
• Deep expertise in data transformation and modeling using SQL‑based frameworks and orchestration tools including dbt, AWS Glue, and Airflow, with knowledge of SCD and schema evolution.
• Extensive experience using Apache Spark for large‑scale batch and streaming data transformations.

These will help you stand out

• Experience with event‑driven architectures and low‑latency data processing.
• Strong understanding of schema evolution, SCD modeling, and modern data modeling concepts.
• Experience with Apache Iceberg, Parquet, and modern ingestion/storage patterns.
• Strong knowledge of observability, governance, and platform best practices.
• Ability to partner effectively with cloud, architecture, and engineering teams.

Salary and Other Compensation:

Applications will be accepted until March 17, 2025.

The annual salary for this position is between $81,000 - $135,000, depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long‑term/Short‑term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.