Cyber Automation Engineer: Data Quality & Automation (Remote)

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

Job summary

Booz Allen Hamilton in the United States is seeking a Data Quality Engineer to join a fast-paced Agile team. You will develop automated validation scripts, reconcile data, and troubleshoot data discrepancies to ensure data integrity across environments.

The role emphasizes Python programming, SQL proficiency, APIs handling, and CI/CD awareness, with collaboration across cross-functional teams in a mission-driven environment.

Qualifications

• Experience with Python data validation and automation.
• Experience with SQL and data manipulation.
• Experience with APIs and handling structured data formats such as JSON, XML, or CSV

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 to a cross-functional team.
• Participate in Agile ceremonies such as sprint planning and stand-ups.

Skills

Python

SQL

APIs

Git

CI/CD

Agile

Education

Bachelor's degree

Tools

Git

GitLab

Jira

CI/CD tools

Job description

Booz Allen Hamilton in the United States is seeking a Data Quality Engineer to join a fast-paced Agile team. You will develop automated validation scripts, reconcile data, and troubleshoot data discrepancies to ensure data integrity across environments.

The role emphasizes Python programming, SQL proficiency, APIs handling, and CI/CD awareness, with collaboration across cross-functional teams in a mission-driven environment.