Data Product & Quality Specialist

Role overview Own quality assurance for data products, connecting engineering teams with the people who need to find, access, and use reliable data. The role advises data domains on product design and standards, tests pipelines and interfaces, and helps improve data products through user feedback.

Responsibilities - Create and run test plans for data pipelines, APIs, and products; check accuracy, completeness, metadata alignment, discoverability, and access. - Advise data domains on metadata, service expectations, quality standards, and availability requirements for data products. - Help teams clean, transform, and refine raw data using available platform tools. - Support adoption of data mesh practices and help consumers use data products and their supporting tools. - Maintain user documentation, tutorials, and onboarding guides, and use consumer feedback to improve products and the platform.

Requirements - U.S. citizenship, an active DoD Secret clearance, and ability to obtain Top Secret clearance. - Experience in data quality assurance, software testing, and technical documentation. - Strong API testing and data validation skills, including experience with tools such as Postman and data catalog interfaces. - Working knowledge of SQL and a scripting language such as Python for analysis and validation. - Familiarity with enterprise data platforms such as Databricks, Collibra, Snowflake, or Palantir. - Able to assess data from both technical and mission-user perspectives and clearly communicate user needs to engineering teams.

Nice to have - Experience with data mesh in an enterprise or government setting, advising on data product design and lifecycle, or supporting data governance and automated metadata tagging. - Experience helping users adopt tools for data cleaning, enrichment, and transformation, and working with mission partners to refine a platform.

Benefits and work setup Mostly remote, with occasional onsite work in Suitland, Maryland.