Senior Data Engineer - Enterprise Data Pipelines & AI/ML

Leidos; Tampa (FL); On-site; USD 117,000 - 195,000; Full time

Job summary

Leidos in Tampa, FL seeks a Senior Data Engineer to design, build, and optimize scalable data pipelines and integration solutions for mission-critical analytics. You will collaborate with government, military, and contractor personnel to enable informed decision-making and operational excellence while ensuring security and compliance requirements.

A TS/SCI clearance is required. The role emphasizes ETL/ELT development, data governance, cloud data platforms, and modern data engineering practices,

Qualifications

• 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 Engineering, Computer Engineering, or a related technical discipline.
• Demonstrated experience designing and implementing enterprise-scale data pipelines and data integration solutions.
• Experience integrating data from multiple heterogeneous sources into analytical or operational environments.
• Experience supporting production data environments requiring high levels of reliability, security, and availability.

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 sources into secure data environments.
• Develop ETL/ELT workflows that automate data ingestion, transformation, validation, enrichment, and delivery.
• Design data pipelines supporting data warehouses, data lakes, lake houses, analytical platforms, dashboards, AI/ML, and mission apps.
• Develop automated processes for data cleansing, normalization, transformation, aggregation, and quality validation.
• Collaborate with Data Architects on enterprise data models, architecture standards, metadata requirements, and governance.
• Partner with Data Scientists, Analysts, ORSAs, software engineers, and mission personnel to deliver data products.
• Design and optimize data workflows for batch, near-real-time, and streaming processing.
• Develop APIs and data services for secure data exchange between applications and analytics environments.
• Implement data quality monitoring, lineage, metadata management, and observability capabilities.
• Optimize pipelines for performance, scalability, reliability, availability, and cost efficiency.
• Support cloud and hybrid-cloud data modernization initiatives including migration of legacy workflows.
• Apply IaC, CI/CD, and DevSecOps practices to improve repeatability and security.
• Troubleshoot data integration and pipeline issues and implement corrective actions.
• Develop technical documentation and implementation guidance supporting data engineering solutions.
• Mentor junior staff on data engineering methodologies and best practices.

Skills

ETL/ELT pipelines

Python

SQL

Databricks

Azure Data Factory

Snowflake

Apache Spark

Kafka

REST APIs

Cloud (Azure/AWS)

CI/CD

DevSecOps

Data governance

Data modeling

Data lineage

Containerization

Kubernetes

Education

Bachelor’s degree in CS/related

Master’s degree (preferred)

Tools

Docker

Kubernetes

Terraform

Git

Job description

Leidos in Tampa, FL seeks a Senior Data Engineer to design, build, and optimize scalable data pipelines and integration solutions for mission-critical analytics. You will collaborate with government, military, and contractor personnel to enable informed decision-making and operational excellence while ensuring security and compliance requirements.

A TS/SCI clearance is required. The role emphasizes ETL/ELT development, data governance, cloud data platforms, and modern data engineering practices,