Data Quality & Product Assurance Specialist — Remote

accenturefederalservices; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Mostly remote work with occasional on‑

Onsite in Suitland, MD

Job summary

Accenture Federal Services seeks a role to own quality assurance for data products, connecting engineering teams with users who need 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 include creating and running test plans for data pipelines, APIs, and products; advising on metadata, quality standards, and availability; helping teams clean, transform, and refine raw

Qualifications

• US citizenship with 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 with Postman and data catalog interfaces.
• Working knowledge of SQL and Python for analysis and validation.

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.

Skills

Data quality assurance

Software testing

Technical documentation

API testing

Data validation

SQL

Python

Tools

Postman

Data catalog interfaces

Databricks

Collibra

Snowflake

Palantir

Job description

Accenture Federal Services seeks a role to own quality assurance for data products, connecting engineering teams with users who need 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 include creating and running test plans for data pipelines, APIs, and products; advising on metadata, quality standards, and availability; helping teams clean, transform, and refine raw