Senior Data Platform Engineer

Peraton

. Build, test, and maintain data ingestion, transformation, and pipeline code .

Posted 9/29/2026full-timeRemote • United StatesSenior💰 $112,000 - $179,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining production data pipelines, utilizing Python and SQL for ETL processes, and applying data governance practices within regulated environments. Proficient in collaborating with cross-functional teams and maintaining clear documentation to support data quality and pipeline reliability.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyETL / Data Pipeline DevelopmentTerraform for Infrastructure-as-CodeData Governance Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData Pipeline Code MaintenanceAnalytical Data ModelingCloud Data PlatformsVersion ControlCI/CD WorkflowsDatabricksSparkDelta

Soft Skills

Analytical SkillsTroubleshooting SkillsCommunication SkillsCollaboration SkillsSelf-Directed Execution

Tools & Technologies

TerraformCI/CD PipelinesData Governance ToolsOrchestration ToolsSnowflake

Certifications & Qualifications

T5/SSBI Federally Adjudicated Clearance

Industry Keywords

FedRAMP ModerateNIST 800-171CUI ConstraintsGovernment ContractingDefense Contracting

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Build, test, and maintain data ingestion, transformation, and pipeline code
Turn raw and synthetic data into governed, analysis-ready data products
Extend the platform following the architecture, patterns, and standards set by the lead platform engineer
Contribute to infrastructure-as-code using Terraform and CI/CD pipelines promoting work into the accredited production environment
Monitor data quality, pipeline reliability, and performance
Troubleshoot and resolve issues
Apply data governance, cataloging, and access-control practices
Support the data science and ML team with governed datasets and tooling
Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints
Collaborate closely with the engineering team
Maintain clear documentation of pipelines and processes

Requirements

What you’ll need

U.S. Citizenship required
Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred
4 years building and maintaining production data pipelines
Strong proficiency in Python and SQL
Hands-on ETL / data pipeline development
Sound analytical data modeling
Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine)
Familiarity with version control and CI/CD workflows
Solid analytical, troubleshooting, and communication skills
5 years work experience with BS/BA
Databricks experience or comparable lakehouse stack (Spark, Delta, dbt, Snowflake) preferred
Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads preferred
Experience in regulated or accredited environments preferred
Active security clearance preferred
Government or defense contracting experience preferred
Familiarity with data governance/cataloging tooling and orchestration tools preferred
Dependable, self-directed execution with minimal oversight
Strong collaboration across technical and non-technical teams
Clear documentation and knowledge-sharing
Eagerness to grow ownership and learn the compliance environment

Benefits

Comp & perks

Eligible for overtime, shift differential, and a discretionary bonus in addition to base pay