Senior Data Engineer - Mission-Critical Data Pipelines

Via Logic LLC; Tampa (FL); On-site; USD 108,000 - 195,000; Full time

Benefits offered by this job

Competitive compensation

Health and Wellness programs

Income Protection

Paid Leave and Retirement

Job summary

Leidos Defense Sector in Tampa, FL seeks a Senior Data Engineer to design and maintain scalable data pipelines, enabling mission-critical analytics and decision support. You will integrate data from diverse sources, develop ETL/ELT workloads, and collaborate with Data Scientists, Analysts, and engineers while ensuring security and governance requirements, including TS/SCI clearance.

This role emphasizes cloud modernization, observability, and reliable data products for operational excellence

Qualifications

• 10+ years of data engineering or related experience.
• Experience building enterprise-scale data pipelines.
• Experience integrating data from multiple sources.
• Experience in environments requiring reliability and security.
• TS/SCI security clearance required.

Responsibilities

• Design, develop, and maintain scalable data pipelines for operations and analytics.
• Integrate data from diverse sources into secure environments.
• Develop ETL/ELT workflows for ingestion, transformation, and delivery.
• Collaborate with Data Architects and mission personnel to understand data needs.
• Implement data quality, lineage, and observability.

Skills

ETL/ELT pipelines

Python

SQL

Databricks

Azure Data Factory

Snowflake

Kafka

Data lake/warehouse

REST APIs

Cloud platforms

CI/CD

DevSecOps

Data governance

Docker/Kubernetes

Data modeling

Data security

Education

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Tools

Kubernetes

Docker

Terraform

Git

GitHub/GitLab

Job description

Leidos Defense Sector in Tampa, FL seeks a Senior Data Engineer to design and maintain scalable data pipelines, enabling mission-critical analytics and decision support. You will integrate data from diverse sources, develop ETL/ELT workloads, and collaborate with Data Scientists, Analysts, and engineers while ensuring security and governance requirements, including TS/SCI clearance.

This role emphasizes cloud modernization, observability, and reliable data products for operational excellence