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Contract Data Platform Engineer Jobs in Virginia

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Data Platform/Infrastructure Engineer

Falls Church, VA · On-site

$114K - $150K/yr

This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative ... The Data Platform/Infrastructure Engineer architects, deploys, and sustains the cloud-native data ...

Platform Engineer

Arlington, VA · On-site

$115K - $140K/yr

Platform Engineer (DevOps) Location: Other Considerations: U.S. Citizen or Permanent Resident ... This is not intended to be an employment contract and does not guarantee employment for any ...

New

This Department of War enterprise data and analytics program delivers mission-critical capabilities ... Leidos Digital Modernization sector is seeking an experienced Platform Engineer to support the ...

MLOps Platform Engineer The Data Modeling Analytics & AI Engineering team is seeking an experienced MLOps Platform Engineer to design, build, and support enterprise-grade machine learning operations ...

This Department of War enterprise data and analytics program delivers mission-critical capabilities ... Leidos Digital Modernization sector is seeking an experienced Platform Engineer to support the ...

MLOps Platform Engineer The Data Modeling Analytics & AI Engineering team is seeking an experienced MLOps Platform Engineer to design, build, and support enterprise-grade machine learning operations ...

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Showing results 1-20

Contract Data Platform Engineer information

What is the difference between Contract Data Platform Engineer vs Contract Data Engineer?

AspectContract Data Platform EngineerContract Data Engineer
Primary FocusBuilding and maintaining data infrastructure and platformsDeveloping and optimizing data pipelines and workflows
Skills & CertificationsCloud platforms, data architecture, scripting, certifications like AWS or GCPSQL, ETL tools, programming languages, data modeling
Work EnvironmentCollaborates with data platform teams, cloud environments, infrastructure focusWorks on data pipelines, analytics, and data processing tasks
Industry UsageUsed in organizations with complex data infrastructure needsCommon in data-driven companies focusing on data analysis and reporting

The Contract Data Platform Engineer primarily focuses on designing and maintaining data infrastructure and platforms, often working with cloud services and architecture. In contrast, the Contract Data Engineer concentrates on developing data pipelines and processing workflows. Both roles require strong data skills, but their focus areas differ, making them suitable for different project needs within data teams.

What are the most commonly searched types of Data Platform Engineer jobs in Virginia? The most popular types of Data Platform Engineer jobs in Virginia are:
What are popular job titles related to Contract Data Platform Engineer jobs in Virginia? For Contract Data Platform Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Contract Data Platform Engineer jobs in Virginia look for? The top searched job categories for Contract Data Platform Engineer jobs in Virginia are:
Infographic showing various Contract Data Platform Engineer job openings in Virginia as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 69% In-person, and 31% Remote job distribution.
Data/Platform Engineer

Other

Posted 21 days ago


Job description

Job Role- Data/ Platform Engineer
Location- Reston, VA
Duration- Full Time

Job Description
We are seeking a Data Platform Infrastructure Engineer with 6+ years of experience and strong AWS cloud skills and hands-on experience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments.

This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization.

Key Responsibilities

  • Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments
  • Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services
  • Provision, configure, and support data processing platforms including EMR, Glue, and Databricks
  • Implement secure networking, connectivity, encryption, and access controls
  • Manage identity, role-based access, secrets, and platform security configurations
  • Support data governance, cataloging, metadata management, and storage integration
  • Automate infrastructure deployment and configuration using Terraform
  • Support CI/CD processes for platform deployment and environment promotion in GitLab
  • Establish monitoring, alerting, logging, and operational support processes
  • Support resiliency, disaster recovery, backup, and recovery planning activities
  • Define and enforce cost, performance, security, and usage guardrails for the platform

Required Experience

  • Development Experience with Python and PySpark
  • Experience managing Databricks platform infrastructure
  • Experience with AWS services and developing solutions in the AWS cloud, including but not limited to:
    • EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM
  • Experience with AI-assisted development tools and practices

Desired Experience

  • Strong written and verbal communication skills.
  • Self-driven individual with the ability to take initiative, demonstrate accountability, and assume responsibility.
  • Ability to work independently with minimal guidance or supervision.
  • Ability to learn quickly and master new technical and business areas.

ience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments.

This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization.

Key Responsibilities

  • Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments
  • Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services
  • Provision, configure, and support data processing platforms including EMR, Glue, and Databricks
  • Implement secure networking, connectivity, encryption, and access controls
  • Manage identity, role-based access, secrets, and platform security configurations
  • Support data governance, cataloging, metadata management, and storage integration
  • Automate infrastructure deployment and configuration using Terraform
  • Support CI/CD processes for platform deployment and environment promotion in GitLab
  • Establish monitoring, alerting, logging, and operational support processes
  • Support resiliency, disaster recovery, backup, and recovery planning activities
  • Define and enforce cost, performance, security, and usage guardrails for the platform

Required Experience

  • Development Experience with Python and PySpark
  • Experience managing Databricks platform infrastructure
  • Experience with AWS services and developing solutions in the AWS cloud, including but not limited to:
    • EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM
  • Experience with AI-assisted development tools and practices