Senior Data Platform Engineer

Peraton

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

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $104,000 - $166,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, applying data governance practices, and utilizing infrastructure-as-code methodologies. Proficient in Python, SQL, and cloud data platforms while ensuring compliance with regulatory standards.

Highest-signal resume keywords

Data Pipeline DevelopmentPython ProficiencySQL ProficiencyInfrastructure-As-Code (Terraform)Data Governance Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentData ModelingCloud Data PlatformsDatabricksSparkDeltaDbtSnowflakeCI/CD WorkflowsTroubleshooting

Soft Skills

Analytical SkillsCommunication SkillsCollaborationSelf-Directed ExecutionDocumentation

Tools & Technologies

TerraformAirflowUnity CatalogCI/CD PipelinesData Cataloging Tools

Certifications & Qualifications

T5/SSBI ClearanceActive Security Clearance

Industry Keywords

FedRAMP ModerateNIST 800-171CUIRegulated EnvironmentsGovernment Contracting

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSnowflakeSparkSQLTerraformUnity

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 pipeline and platform issues
Apply data governance, cataloging, and access-control practices within the established framework
Support the data science and ML team by delivering 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 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, or Snowflake
Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads
Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling
Active security clearance (T5/SSBI or higher) preferred
Government or defense contracting experience
Familiarity with data governance/cataloging tooling such as Unity Catalog
Familiarity with orchestration tools such as Airflow or dbt
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

Medical insurance
Dental insurance
Vision insurance
Life insurance
Health savings account
Short-term disability
Long-term disability
Employee assistance program (EAP)
Parental leave
401(k)
Paid time off (PTO) for vacation
Company-paid holidays
Potential eligibility for overtime
Potential eligibility for shift differential
Potential eligibility for a discretionary bonus