Data Engineer
Start: Sept 2026
Duration: 06 months (Plus Extension)
Location: Remote
USCs Only
Required Skills
Python: Development of data pipelines and ETL workflows
SQL: Data processing, querying, and optimization
ETL / Data Pipelines: Develop, test, and maintain data integration workflows
AWS Services:
AWS Lambda
AWS Glue
Amazon S3
Related AWS data and cloud services
Database Development:
Database design
Schema development
Data modeling
Data normalization
Query optimization
Data integrity controls
Ability to translate business and technical requirements into well-documented technical solutions.
Troubleshoot data quality, integration, and performance issues.
Create and maintain technical documentation, including:
Solution documentation
Interface specifications
Data flow diagrams
Operational procedures
Participate in Agile delivery activities, including backlog refinement, sprint planning, Jira tracking, testing, and issue resolution.
Participate in code reviews and follow established development, security, testing, and documentation standards.
Collaborate effectively with developers, architects, analysts, and program leadership.
Follow applicable security, compliance, and engineering practices for government and mission-focused environments.
Preferred Skills
Agile Requirements Gathering: Intermediate
Experience supporting the Department of Defense (DoD)
Experience working in secure, compliance-driven, or government environments
Familiarity with:
Jira
Git
Automated testing
CI/CD practices
Exposure to:
Data quality monitoring
Operational support
Cloud-native application development
AWS certifications or relevant cloud training are a plus but not required
Day-to-Day Responsibilities
Build, test, and maintain Python- and SQL-based data pipelines and ETL workflows.
Work with AWS Lambda, AWS Glue, and Amazon S3 to support data integration and processing.
Develop and optimize database schemas, queries, and data models.
Investigate and resolve data quality, integration, and performance issues.
Participate in Agile ceremonies and manage assigned tasks through Jira.
Provide regular status updates on assigned development activities.
Prepare technical documentation, data flow diagrams, interface specifications, and operating procedures.
Participate in code reviews, testing, and defect resolution.
Collaborate with senior engineers, architects, analysts, and program stakeholders.
Follow established security, compliance, coding, testing, and documentation standards.
Support project delivery as an individual contributor, without team-management or overall technical-leadership responsibilities.
Expected Deliverables
Support the development and modernization of the CaseTRAC system through technical design, data engineering, integration, and development activities.
Education & Qualifications
Bachelor s degree in:
Computer Science
Information Systems
Data Science
Engineering
Related technical discipline
An equivalent combination of education, technical training, and relevant professional experience may also be considered.
Preferred Coursework / Training:
Python
SQL
Database systems
Cloud computing
Data engineering
ETL development
Additional Qualifications:
Strong problem-solving and design skills
Strong communication and presentation skills
Experience with software delivery methodologies such as Agile/Scrum
AWS certification or relevant cloud training is advantageous but not mandatory