Mid-Level Data Engineer – Tampa-based with 50% Travel to Europe, Hawaii, Colorado – TS/SCI Clearance

Peraton • Tampa, FL

51d • $104,000 - $166,000 • Onsite

About The Position

Peraton is seeking an experienced Mid-level Data Engineer to design, implement, and maintain data workflows supporting organizational reporting and cross-domain data movement. This role involves automating data ingestion pipelines, preparing geospatial and other visualizations using commercial-off-the-shelf (COTS) tools, and configuring customer workflows. Collaboration across divisions and addressing customer requests are vital elements of this position, which supports U.S. Government mission-critical data operations. Location: Tampa, FL; Travel - Tampa-based with 50% Travel to Europe, Hawaii, Colorado, etc.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field and 5 years of relevant experience. An additional 4 years of equivalent professional experience will be considered in lieu of degree.
• Proficiency in Python or TypeScript, with familiarity in other modern programming languages
• Ability to create compelling geospatial and data visualizations using COTS tools.
• Strong understanding of data pipelines, ETL workflows, and automation processes.
• Familiarity with DevSecOps practices and cybersecurity standards, particularly in secure data environments.
• U.S. citizenship required.
• Active TS/SCI security clearance required.
• A Currently valid passport is required for travel-related responsibilities.

Nice To Haves

• Prior experience developing and managing common operating picture dashboards in a U.S. Government or related environment.
• Familiarity with AWS and containerization (Docker, Kubernetes).
• Experience with business intelligence tools such as Tableau, Qlik, PowerBI, or Palantir Foundry.
• An understanding of US Government technical and cybersecurity standards is preferred.
• Demonstrated ability to work collaboratively across divisions and with stakeholders.

Responsibilities

• Centralize and maintain data sources from across the division in SQL databases to support reporting requirements.
• Build and optimize cloud data pipelines for automating data ingestion from vendor sources, preparing data for secure movement across domains.
• Develop geospatial and general data visualizations using COTS tools to support the commander’s decision-making and operational visualization needs.
• Explore and integrate cross-domain solutions for automating secure data transfers between NIPR and SIPR domains.
• Prepare and document workflows, methodologies, and designs for enhanced collaboration and system maintenance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees