Cloudera Data Platform Cdp Jobs in Usa

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• Architecture & Implementation
  
• Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
  
• Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
  
• Establish Purview reference architecture, integration patterns, and guardrails.
  
• Domain Based Governance
  
• Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
  
• Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
  
• Platform Configuration
  
• Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
  
• Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
  
• Security & Compliance
  
• Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
  
• Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
  
• Engineering & Integration
  
• Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
  
• Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
  
• Adoption & Stakeholder Management
  
• Deliver training, onboarding playbooks, and steward enablement.
  
• Lead workshops for new data domains and products.
  
• Provide executive level reporting on progress, risks, and KPIs.
  

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• 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
  
• Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
  
• Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
  
• Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
  
• Financial services or regulated industry exposure.
  
• Excellent communication, stakeholder leadership, and cross domain facilitation skills.
  

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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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.

We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.

The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest.

What you'll do:

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• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc.
  
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting.
  
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
  
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
  
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
  
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
  
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
  

What we're looking for:

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• 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
  
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
  
• Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
  
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
  
• Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
  
• Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
  
• Experience leading key technical projects.
  
• Strong Experimentation background.
  
• Statistical rigor. Experience with causal inference projects.
  

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 1-2 times/quarter and therefore can be situated anywhere in the country.
  

Relocation Statement:

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

#LI-REMOTE

#LI-NM4

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.

We're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners.

What you'll do:

• 
  
• Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel.
  
• Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
  
• Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power.
  
• Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms.
  
• Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions.
  
• Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
  
• Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.
  
• Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers.
  

What we're looking for:

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• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  
• 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
  
• Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
  
• Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
  
• Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
  
• Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.
  
• Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
  

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, Palo Alto, or Seattle.
  
  

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:

Open date: November 21, 2025

Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)

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

Final date: Friday, Nov 20, 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.

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.

Courses are offered online:

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• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  
• Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
  

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.

Data Analytics and Data Science

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• Introduction to SQL
  
• Introduction to Databases
  
• Data Warehousing and Business Intelligence
  
• Data Visualization
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  
• R for Data Analysis
  
• Data Analytics Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning Using Python
  
• Machine Learning and Deep Learning
  
• Artificial Intelligence Foundations
  
• Data Science Capstone
  

Software Development and Advanced Software Development

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• Introduction to C Language Programming
  
• C++ Programming
  
• First Course in Java
  
• Programming Python
  
• Data Structures and Algorithms
  
• Front-End Web Development
  
• JavaScript Frameworks
  
• Modern Web Applications and Cloud Computing
  
• Software Design Patterns
  
• Software Quality Assurance
  
• Software Development Capstone
  
• Java: Discovering Its Power
  
• Mastering Python
  
• Back-End Development with Java/Python
  
• Web Software Security Frameworks
  
• Advanced Databases
  
• Advanced Software Development Capstone
  

Cybersecurity

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• Advanced Network Cybersecurity and AI Monitoring
  
• Cybersecurity AI Risk Management and Governance
  
• Automated Cybersecurity Incident Response and Digital Forensics
  
• Advanced Topics in AI Cybersecurity and Capstone
  

Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects

(please specify in your cover letter)

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).

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• For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
  

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• All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
  

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses

• 
  
• Bachelor's degree or equivalent international degree required.
  

• 
  
• 5 or more years of professional industry work experience since degree.
  

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• 6 or more years of professional industry work experience in the course subject.
  
• Advanced degree in course subject preferred.
  
• Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching online and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

• Curriculum Vitae or Resume - Your most recently updated C.V. or resume.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/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.
  
  (Optional)

  
  

• Sample Syllabi and/or Teaching Evaluations (Optional)

  
  

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• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

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
  

Job Description Summary

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this role, you will be instrumental in designing, building, and maintaining robust and scalable data pipelines and solutions within the Microsoft Azure ecosystem. You will be responsible for developing and optimizing ETL/ELT processes, ensuring data quality, and enabling efficient data access for analytics and business intelligence. We are looking for a hands-on engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technologies

Key Responsibilities:

Design, develop, and maintain cloud-based data pipelines and ETL/ELT workflows.

Build and optimize data architectures to support structured and unstructured data processing.

Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.

Implement data quality, security, and governance best practices.

Monitor and troubleshoot data workflows to ensure high availability and performance.

Optimize database and data storage solutions for performance and cost efficiency.

Contribute to cloud adoption, migration, and modernization initiatives.

Mandatory Skills:

Strong expertise with Azure cloud platform.

Strong experience in Databricks

Azure Data Factory proficiency required; building datasets, data flows, and pipelines in ADF (not just maintaining something already built)

Hands-on experience with ETL/ELT tools and frameworks.

Proficiency in SQL, Python, and data modeling.

Knowledge of CI/CD pipelines and infrastructure-as-code tools.

Understanding of data governance, security, and compliance.

Preferred Skills:

Exposure to API integration and microservices architecture.

Strong analytical and problem-solving skills.

Azure cloud certifications and/or past experience

AKS (Azure Kubernetes Service) experience, and ETL related to applications containerized & deployed on AKS (or EKS)

Overview

Whistler Partners is partnering with a nationally recognized technology transactions practice seeking a mid-to-senior level associate (4–8 years) to join its Washington, DC office.

This team operates at the forefront of emerging technologies, advising clients across fintech, financial services, artificial intelligence, cloud services, outsourcing, digital assets, and advertising. The practice sits at the intersection of IP, data strategy, product counseling, and complex commercial contracting in a rapidly evolving regulatory environment.

Why this role?

This is a rare opportunity to build a cutting-edge tech transactions practice focused on AI systems, fintech infrastructure, and data commercialization. The team handles sophisticated, strategic transactions—not just routine commercial agreements—and serves as trusted advisors to innovative companies navigating complex technological and regulatory shifts.

You’ll work on high-value licensing, outsourcing, and product counseling matters while staying close to regulatory developments in AI, open banking, and digital assets. This seat is ideal for someone who enjoys blending deep contractual work with forward-looking technology strategy.

Key Responsibilities

• Structure, draft, and negotiate strategic technology transactions involving fintech, AI systems, cloud services, and software platforms.
• Draft and negotiate vendor, supplier, and outsourcing agreements.
• Advise clients on intellectual property and regulatory issues relating to data, open banking, AI model development, and content use.
• Draft and negotiate agreements involving software licensing, commercialization, technology development, and IP rights.
• Provide product counseling and guidance on advertising, marketing, and promotional law for innovative tech launches.
• Negotiate AI system licenses and content licenses for AI model training.
• Monitor emerging regulatory frameworks impacting AI, fintech, payments, and advanced technologies.

Top Requirements

• 4–8 years of experience in technology transactions, licensing, fintech, IP, or outsourcing.
• Strong understanding of commercialization of advanced technologies, including payments, AI, cloud computing, and software.
• Experience negotiating complex IP, data access, and licensing arrangements.
• Background advising fintech, financial institutions, or digital asset clients.
• Exceptional drafting, negotiation, and communication skills.
• Ability to manage multiple sophisticated matters in a collaborative, fast-paced environment.
• JD and admission to practice in the relevant jurisdiction.

Preferred Experience

• Experience negotiating AI system and AI training content licenses.
• Familiarity with advertising and marketing law as applied to technology companies.
• Experience advising on IP aspects of M&A and related transactions.
• Exposure to fintech, payments, cloud services, AI, government contracts, outsourcing, or digital asset clients.

Compensation

• $225,000 – $330,000 base salary, depending on experience.
• Comprehensive benefits including medical, dental, life insurance, paid holidays, sick time, long-term disability, and 401(k).

TL;DR

Mid–senior tech transactions role in DC focused on AI systems, fintech, cloud, and advanced data deals. High-end licensing and commercialization work with strong regulatory adjacency. $225K–$330K base.

About Whistler Partners

Matchmakers, Not Headhunters

Whistler Partners is a boutique matchmaking firm focused on counseling the best and the brightest attorneys over the course of their careers. We believe that the right move comes from working closely with talent to curate their long-term career paths. When it comes to career advice, what matters is not the size of the agency but the strength of your individual recruiter.

We readily admit that we are elite and only work with the best – after all, a little elitism is okay when it comes to your career. Employers love us because we are picky about whom we represent, and attorneys love us because we get them their dream jobs.

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

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Hybrid Onsite Schedule In office T, W, Th; Remote M, F

Job Description: Data Analyst – Global Patient Access Program (GPAP)

Location: North Chicago, IL, USA (Hybrid eligible), AP30

Overview: The Data Analyst for the Patient Assistance Program (PAP), supporting GPAP’s data transformation and governance, will be instrumental in building and maintaining the backbone of automated reporting and KPI dashboards. This role ensures a single source of truth for GPAP operations, drives analytics innovation, and supports the integration and consistency of data across the program. You’ll collaborate closely with workstream leaders, lead in bi-weekly scrum sessions, and deliver insight-rich, timely outputs for senior leadership.

Key Responsibilities:

• Develop, automate, and maintain standardized PAP reporting, KPI dashboards, and ad hoc analytics tools using Tableau, Excel, and Snowflake.

• Lead twice-weekly Scrum sessions with workstream team members, ensuring progression of data tasks, intake of new data requests, and alignment on analytics approaches in a Smart Sheet-driven, agile environment.

• Ensure data consistency, quality, and accuracy across all platforms, supporting GPAP governance and the creation/control of the 'source of truth.'

• Enable and facilitate self-service dashboards and reporting marts for internal and external stakeholders.

• Collaborate with cross-functional partners (BTS, ACA, GPAP, Steer Co) to support program data needs, forecasting, and reporting methodologies.

• Support quarterly and weekly reporting processes—including application, shipment, and claim-level analytics.

• Partners with data lead to document extraction methods, automate/accelerate reporting, and track program impacts, escalations, and business intelligence.

• Identify new opportunities for advanced analytics or insights to increase PAP operational efficiency and program sustainability.

Qualifications:

• Bachelors in a relevant field (Analytics, IT, Business, Data Science, or related)

• 3-5 years’ experience in data analytics, reporting, or business intelligence in healthcare, pharma, or related industry

• Advanced proficiency in Tableau and Excel; experience with Smart Sheet and Snowflake (SQL skills required)

• Demonstrated experience leading agile meetings (scrum/project management preferred)

• Strong attention to detail, data integrity, and quality control

• Experience in KPI development, dashboard design, and self-service reporting

• Effective communicator with ability to drive cross-team consensus and present findings to varied audiences

• Collaborative mindset, able to work in fast-paced, matrixed environments

• In office Tues, Wed, Thurs

Preferred:

• Experience in patient assistance programs or US healthcare market access

• Familiarity with organizational data governance or compliance requirements

Be part of a team unlocking strategic impact through advanced analytics, automation, and insight-driven transformation. Shape the way data informs patients’ access and program value across a global organization while enjoying professional growth in a supportive, inclusive culture.

• Own and manage clinical data management activities for assigned early-phase oncology studies, ensuring data quality, integrity, and inspection readiness.
• Serve as the primary owner and administrator of the company’s Medidata platform, including Cloud Admin configuration and maintenance, user access management, etc.
• Provide oversight of EDC builds and updates, including review and approval of database specifications and edit check specifications, completion of UAT, etc.
• Develop and implement data review plans and coordinate ongoing external and internal data cleaning and query management activities.
• Review data listings to support study oversight and decision-making.
• Collaborate cross-functionally with Clinical Operations, Clinical Science, Biostatistics, Medical, and external vendors/CROs to ensure alignment and timely data delivery.
• Monitor data management metrics and reports to ensure compliance with protocols and study plans.
• Contribute to process improvement, SOP development, and inspection readiness activities as the clinical organization continues to scale.
  
  

• Bachelor’s degree in life sciences, data science, or a related field.
• 6+ years of clinical data management experience, with at least 3 years in oncology clinical trials.
• Prior experience in early-phase (Phase 1/1b/2) oncology trials within a biotech or CRO setting.
• Extensive hands-on experience with Medidata including Cloud Admin and Rave EDC.
• Elluminate administration experience a plus
• Strong understanding of CDISC standards.
• Experience working with CROs and vendors, including oversight of outsourced data management activities.
• Working knowledge of GCP, ICH, and regulatory expectations for clinical data.
• Highly detail-oriented with strong organizational and problem-solving skills.
• Adaptable mindset with interest in helping build and scale data management capabilities.