SRE Data Engineer: Scalable Pipelines & SLOs

Leidos; Jacksonville (FL); On-site; USD 95,000 - 157,000; Full time

Job summary

Leidos seeks a Site Reliability Engineer (SRE) Data Engineer to support the Navy's SMIT program. The role develops scalable data pipelines, integrates cloud/on‑prem platforms, and ensures data quality and security in a mission‑critical environment.

You'll collaborate with BI, cybersecurity, and operations teams to deliver robust data products, modernize platforms, and implement automated testing frameworks in an Agile/DevOps culture.

Qualifications

• BS degree with 4–8 years of relevant data engineering experience, or MS with 2–6 years.
• U.S. citizenship with active DoD Secret clearance and IAT Level II certification.
• Experience building or supporting production data pipelines and data warehouses.

Responsibilities

• Design, develop, test, deploy, and maintain scalable ETL/ELT pipelines from diverse sources.
• Build data models, schemas, views, and curated data sets for analytics and BI.
• Develop data-processing solutions using SQL, Python, and other approved technologies.
• Integrate cloud and on-premise data platforms in hybrid environments.
• Implement data quality checks, monitoring, and automated issue resolution.
• Troubleshoot data pipelines, perform root cause analysis, and drive fixes.
• Define data requirements with stakeholders and ensure governance and security.
• Document architecture, data dictionaries, lineages, and runbooks.

Skills

SQL

Python

PowerShell

Ansible

Education

Bachelor's degree

Tools

Azure Data Factory

Azure SQL

Azure Databricks

Azure Synapse Analytics

Job description

Leidos seeks a Site Reliability Engineer (SRE) Data Engineer to support the Navy's SMIT program. The role develops scalable data pipelines, integrates cloud/on‑prem platforms, and ensures data quality and security in a mission‑critical environment.

You'll collaborate with BI, cybersecurity, and operations teams to deliver robust data products, modernize platforms, and implement automated testing frameworks in an Agile/DevOps culture.