Python Data Quality Automation Engineer

Booz Allen Hamilton; Fairmont (WV); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen is seeking a Data Quality Engineer to join a fast-paced Agile team. You will develop automated validation, reconcile data, and troubleshoot discrepancies, ensuring data integrity across environments.

Required are Python, SQL, APIs, and the ability to work in Agile, with eligibility for a Secret clearance. Familiarity with data analysis tools like pandas/NumPy and BI suites is a plus.

Qualifications

• Experience programming with Python including data manipulation, validation, and automation.
• Experience with SQL or relational database management.
• Experience with APIs and handling structured data formats such as JSON, XML, or CSV.
• Knowledge of version control systems such as Git or CI/CD concepts.
• Ability to adapt and deliver high-quality work in a fast-paced, Agile environment.
• Ability to obtain a Secret clearance.
• HS diploma or GED.
• Nice to have: pandas or NumPy for data analysis.
• Nice to have: Power BI and Power Automate.
• Nice to have: Jira or GitLab for issue tracking.
• Nice to have: C# and .NET frameworks.

Responsibilities

• Develop, maintain, and execute automated validation and data reconciliation scripts.
• Investigate, analyze, and document data discrepancies and anomalies.
• Verify that system records are created, updated, and maintained correctly across environments.
• Retest data fixes and validate resolutions implemented by the development team.
• Communicate findings, data health metrics, and quality reports clearly to a cross-functional team.
• Participate actively in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives.

Skills

Python

SQL

APIs

Git

Agile

Security clearance

Education

HS diploma or GED

Bachelor's degree

Tools

pandas

NumPy

Power BI

Power Automate

Jira

GitLab

C#

.NET

Job description

Booz Allen is seeking a Data Quality Engineer to join a fast-paced Agile team. You will develop automated validation, reconcile data, and troubleshoot discrepancies, ensuring data integrity across environments.

Required are Python, SQL, APIs, and the ability to work in Agile, with eligibility for a Secret clearance. Familiarity with data analysis tools like pandas/NumPy and BI suites is a plus.