Data Engineer

QinetiQ - Chantilly, VA

Full-time

Chantilly, VA

Machinery Manufacturing

About the position

The Data Engineer position at QinetiQ US involves supporting a cutting-edge project focused on the technical and operational architecture of complex enterprise systems. The role requires evaluating conditioned data, collaborating with technical support teams, and ensuring data quality for operational service delivery. This position is integral to enhancing data processes and standards within the organization.

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

Requirements

• Active TS/SCI clearance with polygraph required
• Demonstrated experience providing data support to data engineering, and ETL teams
• Experience programming to manipulate and analyze large datasets, build data pipelines, and automate tasks
• ETL experience, to include formats such as XML, JSON, CSV, and YML
• Experience using repository software such as GIT
• Experience developing and maintaining data processing flows
• Experience with Agile Methodologies
• 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

Nice-to-haves

• Experience with Python, PySpark or Apache
• Experience with Databricks
• Experience with Amazon Web Services (AWS)
• Experience with Linux
• Experience in SQL testing experience