Data Quality Automation Engineer

Booz Allen Hamilton; Las Cruces (NM); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Quality Engineer to join a fast-paced, Agile team focused on data integrity, validation, and reconciliation. You will develop automated validation scripts, troubleshoot data discrepancies, and ensure accurate data across environments.

Applicants should have Python experience for data manipulation, SQL skills, and familiarity with APIs and structured data formats; eligibility for a Secret clearance is required.

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.

Responsibilities

• Develop, maintain, and execute automated validation and data reconciliation scripts.
• Investigate, analyze, and meticulously 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 and effectively to a collaborative, cross-functional technical team.
• Participate actively in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives.

Skills

Python programming

SQL

APIs

Git/CI-CD

Agile

Secret clearance

Education

HS diploma or GED

Bachelor's degree

Tools

Git

Jira

GitLab

C#

.NET

Power BI

Power Automate

Job description

Booz Allen Hamilton is seeking a Data Quality Engineer to join a fast-paced, Agile team focused on data integrity, validation, and reconciliation. You will develop automated validation scripts, troubleshoot data discrepancies, and ensure accurate data across environments.

Applicants should have Python experience for data manipulation, SQL skills, and familiarity with APIs and structured data formats; eligibility for a Secret clearance is required.