Data Quality Engineer
About The Position
Peraton is seeking a Data Quality Engineer. The Data Quality Engineer will perform the following duties, but not limited too: Ensures the accuracy, consistency, and integrity of data across VLER and SOES systems by developing and maintaining data quality controls and scripts to identify and resolve issues. This role involves conducting root-cause analyses, coordinating monthly data quality sweeps, and collaborating with stakeholders like the DMDC Enterprise DBA team to address corrections. The engineer monitors error metrics, generates ad hoc analysis and transaction reports, and updates documentation to reflect evolving processes. By reviewing and refining data quality checks with SMEs and product owners, the engineer supports continuous improvement efforts while ensuring reliable data for decision-making and maintaining the integrity of critical systems. In collaboration with the Database Administrator, the Data Quality Engineer will identify, isolate, research, and resolve data quality issues. Together they will design and develop data quality control measures that adhere to established agency data governance policies, submit proposed data quality control measures to DMDC for approval, implement approved measures, and document all changes.
Requirements
- 5 years with BS/BA; 3 years with MS/MA; 0 years with PhD
- Must be a US Citizen
- Must have active Public trust clearance
- Experience working with Oracle database, SQL developer, PL/SQL, SQL queries.
Responsibilities
- Ensures the accuracy, consistency, and integrity of data across VLER and SOES systems by developing and maintaining data quality controls and scripts to identify and resolve issues.
- Conducting root-cause analyses
- Coordinating monthly data quality sweeps
- Collaborating with stakeholders like the DMDC Enterprise DBA team to address corrections.
- Monitors error metrics
- Generates ad hoc analysis and transaction reports
- Updates documentation to reflect evolving processes.
- Reviewing and refining data quality checks with SMEs and product owners
- Supports continuous improvement efforts while ensuring reliable data for decision-making and maintaining the integrity of critical systems.
- Identify, isolate, research, and resolve data quality issues.
- Design and develop data quality control measures that adhere to established agency data governance policies
- Submit proposed data quality control measures to DMDC for approval
- Implement approved measures
- Document all changes.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
