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Live In Data Platform Engineer Jobs in Washington, DC

Mpr Associates, Inc.

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 ...

Mpr Associates, Inc.

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 ...

Mpr Associates, Inc.

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 ...

Accenture LLP

Data Platform Engineer

Suitland, MD · On-site

$98K - $102K/yr

As a Data Engineer in this role, you will collaborate closely with various combatant commands ... If you are a California resident, live in or plan to work from Los Angeles County upon being hired ...

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All JobsLive In Data Platform Engineer JobsLive In Data Platform Engineer Jobs in Washington, DC

Live In Data Platform Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do live in data platform engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for live in data platform engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

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 Washington, DC?

The most popular types of Data Platform Engineer jobs in Washington, DC are:

What are popular job titles related to Live In Data Platform Engineer jobs in Washington, DC?

For Live In Data Platform Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Live In Data Platform Engineer jobs in Washington, DC look for?

The top searched job categories for Live In Data Platform Engineer jobs in Washington, DC are:

Live In Data Platform Engineer jobs near you
Infographic showing various Live In Data Platform Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Platform Engineer

Delaware Nation Industries

Washington, DC • On-site

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 26 days ago

Job description

Platform Architecture:
  • Design and maintain scalable, cloud-native data platforms, including data lakes, lake houses, and data warehouses (e.g., AWS, Azure, GCP).

Self-Service Enablement:
  • Build reusable CI/CD templates and Infrastructure as Code to allow data scientists and analysts to provision environments and build pipelines independently.
  • Develop robust ETL and ELT frameworks for both batch and streaming data.
    Implement strict role-based access controls, data encryption, data lineage tracking, and compliance frameworks to protect sensitive digital health or enterprise data.
  • Monitor platform performance, storage use, and query responsiveness to ensure high availability and cost efficiency. Collaborate with Data Architects, Software Developers, and Data Scientists to integrate RESTful APIs and deliver cohesive end-to-end data products.

Requirements
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
  • Minimum 4 years in data engineering, platform engineering, or a highly technical DevOps or data role.
  • Proficiency in Python, Java, or Scala; advanced SQL skills; and experience with NoSQL and distributed database systems.
  • Hands-on experience with data lake and warehouse technologies such as Databricks, Snowflake, Apache Spark, or Apache Kafka.
  • Familiarity with containerization tools (Docker, Kubernetes), workflow orchestration platforms (Airflow, Dagster), and Infrastructure as Code tools (Terraform).
  • Must have a TS/SCI Security clearance

Benefits
Benefits Include:
  • Covers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental
  • Matching 401K
  • Short- and Long-Term Disability
  • Pet Insurance
  • Professional Development/Education Reimbursement
  • Parking and Transit Benefits for NY, NJ, ATL, and DC Metro areas

Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

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