SRE Data Engineer: Resilient Data Pipelines

Koitecc Solutions; Jacksonville (FL); Hybrid; USD 87,000 - 157,000; Full time

Job summary

Leidos is seeking a Site Reliability Engineer (SRE) Data Engineer to support the Navy's SMIT program, delivering cybersecurity services, network operations, data transport, and enterprise data solutions.

You'll build scalable data pipelines, apply data governance, and contribute to modernization in an Agile/DevOps culture while ensuring systems meet SLOs and operate reliably in production.

Qualifications

• Requires B.S Degree and 4-8 years of experience in data engineering or related field.
• Must be a U.S. citizen with active DoD Secret Clearance and IAT Level II.
• Location at Navy Base: San Diego, CA; Hampton Roads, VA; or Jacksonville, FL.
• Hands-on experience developing, operating, or supporting production data pipelines, data integrations, data warehouses, or data lakes.

Responsibilities

• Design, build, test, deploy, and maintain scalable ETL/ELT pipelines.
• Develop data models, schemas, tables, views, and curated data sets for analytics and BI.
• Integrate cloud and on-prem data platforms across hybrid environments.
• Implement automated data-quality checks, monitoring, and alerting.
• Troubleshoot pipeline failures and perform root-cause analysis.

Skills

SQL

Python

ETL/ELT

Data pipelines

Cloud & on-prem

SRE testing

Ansible

PowerShell

Education

Bachelor's degree or higher

Master's degree preferred

Tools

Azure Data Factory

Azure SQL

Databricks

Ansible

Job description

Leidos is seeking a Site Reliability Engineer (SRE) Data Engineer to support the Navy's SMIT program, delivering cybersecurity services, network operations, data transport, and enterprise data solutions.

You'll build scalable data pipelines, apply data governance, and contribute to modernization in an Agile/DevOps culture while ensuring systems meet SLOs and operate reliably in production.