Senior Data Product Engineer

Overview

Senior, Data Product Engineer is an individual contributor role focused on day‑to‑day operational questions and tasks related to Epsilon’s data products. The role serves as the primary point of contact for common data questions, ensuring internal teams can quickly understand data availability, meaning, structure, and refresh cadence.

Responsibilities include answering routine data questions, validating expected data behavior, and maintaining accurate documentation across datasets. The role is execution‑focused, operational, with emphasis on speed, accuracy, and consistency.

• Serve as first point of contact for day‑to‑day data questions, such as:
  • Has this data been updated?
  • What does this field or attribute mean?
  • What table or dataset does this data live in?
  • How often is this dataset refreshed?
• Validate data presence, currency, and behavior across Epsilon platforms.
• Check data refresh schedules, pipelines, and outputs to confirm expected updates.
• Implement established data checks, processes, and workflows to support ongoing data operations.
• Raise unexpected behavior, missing data, or unclear definitions to Senior Analysts with clear context.
• Maintain and update dataset documentation to answer common data questions quickly and consistently.
• Ensure documentation clearly defines field meanings, refresh cadence, data location, and known limitations.
• Update documentation as data sources evolve or new questions emerge.
• Use recurring questions as signals for documentation or reference material improvement.
• Support internal training and enablement by maintaining walkthroughs and reference materials.
• Work with Data Engineering and Data Warehouse teams to confirm data availability, refresh timing, and table structure.
• Partner with Senior Analysts and Client Teams for data validation and operational needs.
• Communicate clearly when data is behaving as expected versus when escalation is required.
• Learn how upstream data changes impact downstream platforms and client use cases.
• Build deep familiarity with datasets, tables, and refresh schedules.
• Take ownership of answering a defined set of recurring data questions or data sources.
• Improve speed, accuracy, and consistency in responding to data requests.
• Develop toward more complex validation and support work under guidance from Senior Analysts.

• 2‑4 years of experience working with data in a professional environment such as analytics, data operations, reporting, or similar roles.
• Experience querying and working with data using SQL (or equivalent) to answer questions, validate results, and perform basic analysis (Postgres and Databricks preferred but not required).
• Exposure to backend data systems such as data warehouses, data pipelines, or relational databases, with understanding of data provenance, structure, and downstream impacts.
• Experience receiving routine or ad‑hoc data questions and independently determining how to answer them using available data.
• Familiarity with working in environments where data accuracy, correctness, and reliability are important, and where results are expected to be reproducible.
• Interest in learning about data governance, data privacy, and working with sensitive or pseudonymized data.
• Bachelor’s degree or equivalent practical experience.

• Flexible time off (FTO), 15 paid holidays.
• Paid sick time.
• Parental/new child leave, childcare & elder care assistance, adoption assistance.
• Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling.

USD $67,800.00 - USD $ annually.

Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law.

Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to  to request an accommodation.