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Live In Data Platform Engineer Jobs in Virginia (NOW HIRING)

Data Platform Engineer

Alexandria, VA

$122K - $147K/yr

... Data Platform Engineer to join our team. If you are seeking a unique, challenging, and rewarding ... Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

... Data Platform Engineer to join our team. If you are seeking a unique, challenging, and rewarding ... Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

... Data Platform Engineer to join our team. If you are seeking a unique, challenging, and rewarding ... Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal ...

Data Platform/Infrastructure Engineer

Falls Church, VA · On-site

$114K - $150K/yr

Everforth ECS is seeking a Data Platform/Infrastructure Engineer to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax . Please Note: This position is contingent ...

Contribute to internal tooling that streamlines development, deployment, and data workflows What We're Looking For * 4+ years of experience in platform engineering, DevOps, or SRE roles * Deep hands ...

Databricks Data Engineer

Mclean, VA

$115K - $139K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

Databricks Data Engineer

Rosslyn, VA

$130K - $156K/yr

Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery. Qualifications Required:

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Live In Data Platform Engineer information

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

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 Live In Data Platform Engineer jobs in Virginia? For Live In Data Platform Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Virginia look for? The top searched job categories for Live In Data Platform Engineer jobs in Virginia are:
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Data/Platform Engineer

Other

Posted 2 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