Senior Data Engineer

Ready to take on your next career challenge? Join Leidos and become part of a high-impact initiative supporting a multidisciplinary team focused on delivering cutting-edge planning, operational, technical, analytical, and mission support capabilities. We're assembling a team of top-tier data professionals who are driven by curiosity, innovation, and a desire to make a meaningful impact. Note: This position is part of a future contract opportunity pending award announcement. The Leidos Defense Sector is seeking highly qualified Senior Data Engineers to support a multidisciplinary team dedicated to delivering innovative planning, operational, technical, analytical, and mission support capabilities in Tampa, FL.  The successful candidate will collaborate with government, military, and contractor personnel to develop solutions that enable informed decision-making, operational excellence, and mission success. Candidate must already possess a TS/SCI security clearance in order to be considered.

Design, develop, implement, and maintain scalable data pipelines and data integration solutions supporting mission operations, analytics, reporting, and decision-making. Integrate structured, semi-structured, and unstructured data from multiple operational, intelligence, enterprise, and external sources into secure and accessible data environments. Develop and maintain Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows that automate data ingestion, transformation, validation, enrichment, and delivery. Design and implement data pipelines supporting data warehouses, data lakes, lake houses, analytical platforms, dashboards, artificial intelligence/machine learning (AI/ML), and other mission applications. Develop automated processes for data cleansing, normalization, transformation, aggregation, and quality validation to ensure reliable and consistent data products. Collaborate with Data Architects to implement enterprise data models, architecture standards, metadata requirements, interoperability standards, and data governance practices. Partner with Data Scientists, Data Analysts, Operations Research/Systems Analysts (ORSAs), software engineers, and mission personnel to understand data requirements and deliver fit-for-purpose data products. Design and optimize data workflows supporting batch, near-real-time, and streaming data processing requirements. Develop and maintain APIs, data services, and integration mechanisms that enable secure data exchange between enterprise applications and analytical environments. Implement data quality monitoring, lineage, metadata management, logging, and observability capabilities that improve trust and transparency across enterprise data environments. Optimize data pipelines and processing workflows for performance, scalability, reliability, availability, and cost efficiency. Support cloud and hybrid-cloud data modernization initiatives, including migration of legacy data workflows and implementation of modern data engineering technologies. Apply automation, Infrastructure as Code (IaC), CI/CD, and DevSecOps practices to improve repeatability, security, and reliability of data engineering solutions. Troubleshoot complex data integration, transformation, pipeline, and performance issues and implement corrective actions. Develop technical documentation, data flow diagrams, interface documentation, operating procedures, and implementation guidance supporting data engineering solutions. Mentor junior technical personnel and provide guidance on data engineering methodologies, data integration, pipeline development, and engineering best practices.

Education & Experience Minimum of 10 years of directly related experience in data engineering, data integration, software engineering, enterprise data management, or related technical disciplines. Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Software