DATA Engineer USC

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