Data QA Engineer Principal

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

BI Full 6C (T4)

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Analysis, Data Quality, Data Warehousing (DW)

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

Yes

Job Description:

Transform technology into opportunity as a Data QA Engineer Principal at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career. We are seeking an experienced Data QA Engineer Principal to support data migrations, validation efforts, and analytics initiatives across SQL Server, Dynamics 365, Dataverse, and cloud platforms. This role ensures data accuracy, integrity, and quality during enterprise transformations.

MEANINGFUL WORK AND PERSONAL IMPACT
As a Data QA Engineer Principal, the work you’ll do at GDIT will be impactful to the mission of our customers. You will play a crucial role in:

● Performing data validation, reconciliation, and source-to-target comparisons for system cutovers and migrations
● Developing and executing complex SQL queries, ETL scripts, and stored procedures
● Conducting root cause analysis for data discrepancies and partnering with engineering teams to resolve issues.
● Building and maintaining data pipelines, data warehouses, and validation frameworks

● Developing interactive Power BI dashboards and KPI reports

● Supporting integrations using REST APIs and ensuring compliance with data security standards

● Collaborating with functional, development, and data engineering teams to improve data quality processes

WHAT YOU’LL NEED TO SUCCEED
Bring your engineering expertise along with a drive for innovation to GDIT. The Data QA Engineer Principal must have:

● Education: MA/MS (or equivalent experience)

● Experience: 8+ years of experience in Data Engineering, Data Warehousing, and/or Data Quality

● Required Skills:

• Expert-level SQL and experience with ETL/SSIS and data migration processes
• Strong experience with Azure, Dataverse, Dynamics 365, Power Platform, and on-prem data gateways
• Proficiency in Python, C#, and PowerShell for automation.
• Ability to apply role-based security to Power Apps applications
• Experience with data modeling, data pipelines, and cloud data platforms (Azure)
• Understanding of Active Directory, SAML, and role-based security
• Experience developing Power BI dashboards for QA and operational reporting

● Required Certification:

• Microsoft Certified: Azure Data Engineer Associate (DP-203). Other Azure and/or SQL certification(s) may be considered in lieu.

● Security Clearance Level: Must be able to pass a background check and maintain a position of public trust with federal client(s)

● US Citizenship Required

● Location: Remote

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

● Growth: AI-powered career tool that identifies career steps and learning opportunities
● Support: An internal mobility team focused on helping you achieve your career goals
● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
● Flexibility: Full-flex work week to own your priorities at work and at home
● Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in software development at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation.

The likely salary range for this position is $114,750 - $155,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Loca