Data Quality Engineer with Security Clearance, QinetiQ, Chantilly, VA
QinetiQ -
Chantilly, VA,
US
Data Quality Engineer with Security Clearance
Date Posted: 2024-05-15
Job description
Position Overview
We are seeking a Data Quality Engineer who will support the critical functions for mission clients. This individual will evaluate the quality of data received from data sources to assess changes/updates with existing data flows. Responsibilities Evaluate conditioned data to ensure data is properly mapped and ready for User Acceptance Testing (UAT) Work with technical support teams and business process owners for investigation and resolution of production quality control failures that affect operations service delivery Create or update data models to ensure that data is stored in an organized manner Develop processes and procedures to support the operating quality and efficiency of quality control checks in the production environment Create and implement plans to improve data quality by identifying causes of errors or discrepancies and determining effective solutions Work closely with all teams necessary to implement, measure, and improve quality standards for new and existing production functionality Work with service providers to establish procedures for data collection and analysis Consult with service providers and customers to determine how new data standards could affect operations Document data quality issues and recommending solutions to problems Required Qualifications Active TS/SCI clearance with polygraph required #qinetiqclearedjob Demonstrated experience providing data support to data engineering, and ETL teams Experience in SQL testing experience Ability to work closely with highly technical IT database, development, and infrastructure staff Experience working with IT development teams, and infrastructure support organizations Ability to effectively communicate issues in writing and orally at appropriate levels of detail for executive audiences, business stakeholders and technical teams Experience in supporting processes for the technical and operational architecture of complex enterprise systems Preferred Qualifications Experience with Python or PySpark Scripting is desired.
We are seeking a Data Quality Engineer who will support the critical functions for mission clients. This individual will evaluate the quality of data received from data sources to assess changes/updates with existing data flows. Responsibilities Evaluate conditioned data to ensure data is properly mapped and ready for User Acceptance Testing (UAT) Work with technical support teams and business process owners for investigation and resolution of production quality control failures that affect operations service delivery Create or update data models to ensure that data is stored in an organized manner Develop processes and procedures to support the operating quality and efficiency of quality control checks in the production environment Create and implement plans to improve data quality by identifying causes of errors or discrepancies and determining effective solutions Work closely with all teams necessary to implement, measure, and improve quality standards for new and existing production functionality Work with service providers to establish procedures for data collection and analysis Consult with service providers and customers to determine how new data standards could affect operations Document data quality issues and recommending solutions to problems Required Qualifications Active TS/SCI clearance with polygraph required #qinetiqclearedjob Demonstrated experience providing data support to data engineering, and ETL teams Experience in SQL testing experience Ability to work closely with highly technical IT database, development, and infrastructure staff Experience working with IT development teams, and infrastructure support organizations Ability to effectively communicate issues in writing and orally at appropriate levels of detail for executive audiences, business stakeholders and technical teams Experience in supporting processes for the technical and operational architecture of complex enterprise systems Preferred Qualifications Experience with Python or PySpark Scripting is desired.