Senior Data Engineer

Leidos Inc; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Leidos Inc in Tampa, FL is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines that support mission operations, analytics, and decision-making. You will integrate diverse data sources and build ETL/ELT workflows that automate ingestion, transformation, and quality checks, ensuring reliable data products for stakeholders.

As part of a multidisciplinary team, you will collaborate with data scientists, analysts, and engineers to implement data models, governance,

Responsibilities

• 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

Job description

Description

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.

Key Responsibilities

• 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