Security-Cleared Senior Data Engineer — Mission Data Pipelines

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

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,