Senior Data Platform Engineer

Peraton

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

Posted 10/16/2026full-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 data pipelines, with strong proficiency in Python and SQL, and familiarity with cloud data platforms. Applies data governance practices and operates within regulated environments while ensuring high data quality and performance.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyETL/Data Pipeline DevelopmentTerraform 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 CodeAnalytical Data ModelingCloud Data PlatformsCI/CD WorkflowsDatabricksSparkDeltaSnowflake

Soft Skills

Analytical SkillsTroubleshooting SkillsCommunication SkillsCollaboration SkillsDependable Execution

Tools & Technologies

TerraformCI/CD PipelinesData Governance ToolingOrchestration ToolsVersion Control

Certifications & Qualifications

T5/SSBI Federally Adjudicated Clearance

Industry Keywords

FedRAMP ModerateNIST 800-171CUI ConstraintsRegulated EnvironmentsGovernment 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 according to the architecture, patterns, and standards set by the lead platform engineer
Contribute to Terraform infrastructure-as-code and CI/CD pipelines for the accredited production environment
Monitor data quality, pipeline reliability, and performance
Troubleshoot and resolve data pipeline issues
Apply data governance, cataloging, and access-control practices
Deliver governed datasets and tooling to support the data science and ML team
Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints
Collaborate 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 and 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
Minimum of 8 years with BS/BA; minimum of 6 years with MS/MA
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
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

Employees may be eligible for overtime
Shift differential may be available
Discretionary bonus may be available