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