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Data Compute Jobs in Washington (NOW HIRING)

System One Holdings, LLC

AWS Data Engineer

Mclean, VA · On-site

$170K/yr

AWS Data Engineer Location: McLean, VA Type: Contract-to-Hire Compensation: $150,000.00 - $170,000 ... compute/storage separation. • Establish standardized development, testing, and production ...

Axle

Director of Data Solutions

Rockville, MD · On-site

The Director of Data Solutions will lead technical delivery for data platforms and AI/ML solutions ... compute strategy (HPC/cloud), and hiring/partnering plan. • Lead simulation/modeling teams ...

Axle

Director of Data Solutions

Rockville, MD · On-site

The Director of Data Solutions is responsible for leading the technical delivery of data platforms ... compute strategy (HPC/cloud), and hiring/partnering plan. • Lead simulation/modeling teams ...

Sidram Technologies

AWS Data Engineer - w2

Reston, VA · On-site

$119K - $143K/yr

Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms ... Ensure data quality, monitoring, error handling, and operational support for pipelines

Deloitte

Sr Databricks Data Engineer

Rosslyn, VA

$130K - $156K/yr

... compute platforms Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality ...

Deloitte

Sr Databricks Data Engineer

Mclean, VA

$115K - $139K/yr

... compute platforms Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality ...

540.co LLC

Data Engineer with Security Clearance

Arlington, VA · On-site

$131K - $158K/yr

Develop and manage Databricks notebooks, jobs, workflows, clusters, and compute resources * Implement data-quality checks, automated testing, monitoring, lineage, and metadata-management capabilities

Ardent Principles, Inc

Data Scientist

Reston, VA

This role focuses on developing geospatial data capabilities, automating cloud workflows, and managing scalable compute resources across a secure, modern cloud environment. Who We Are: We offer ...

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All JobsData Compute JobsData Compute Jobs in Washington

Data Compute information

What is a data compute?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What does a data compute do?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive in the data compute position, and why are they important?

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

What are popular job titles related to Data Compute jobs in Washington?

For Data Compute jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Compute jobs in Washington look for?

The top searched job categories for Data Compute jobs in Washington are:

What cities in Washington are hiring for Data Compute jobs?

Cities in Washington with the most Data Compute job openings:

Data Compute jobs near you
Infographic showing various Data Compute job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Science - TS/SCI w POLY

Falls Technology

Mclean, VA • On-site

Full-time

Re-posted 27 days ago

Job description

 TS/SCI with POLY REQUIRED


Looking for subject matter expertise to develop a tool to enhance their signature management capabilities
and to integrate the Sponsor’s diverse data holdings and to leverage novel AI/ML solutions to support the Sponsor’s operational requirements.


Work Requirements

Data Science

  • The Contractor shall work closely with other teams; however, the Sponsor project manager will manage the priorities.
  • The
    Contractor
    shall
    integrate
    with
    Sponsor
    team
    to
    develop
    an
    understanding
    of
    Sponsor
    data structures.
  • The Contractor shall build out schema and data models, as required by the Sponsor.
  • The
    Contractor
    shall
    complete
    the
    Sponsor’s
    systems
    administrator
    security
    course
    (approx.
    8
    hours
    of training).
  • The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
  • The
    Contractor
    shall
    provide
    briefings,
    to
    include
    presentation
    slides
    and
    user
    guide
    documentation,
    as required by the Sponsor.

Data Science

  • The
    Contractor
    shall
    expand
    the
    Sponsor’s
    Artificial
    Intelligence
    and
    Machine
    Learning
    (AI/ML) architecture and develop an analytics user interface (UI).
  • The Contractor shall bridge research output to operational teams by packing models as reliable service.
  • The Contractor shall create operator-focused dashboards.
  • The
    Contractor shall deliver a stable, low-cost productions platform that enables rapid, tailored outreach.
  • The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
  • The
    Contractor
    shall
    provide
    briefings,
    to
    include
    presentation
    slides
    and
    user
    guide
    documentation,
    as required by the Sponsor.

Required Skills and Demonstrated Experience

The Contractor shall have the following required skills, certifications, and demonstrated experience:


    • Data Science #1


• Demonstrated experience with proficiency in Python.


  • Demonstrated experience with data analytics and transformations.

  • Demonstrated experience with complex graph database queries.

  • Demonstrated experience in cloud compute environments.

  • Demonstrated
    ability
    to
    effectively
    communicate
    (verbal
    and
    written)
    with
    technical
    and non-technical personnel as well as all levels of management and staff.

  • Data Science #2

  • Demonstrated experience in cloud compute environments.

  • Demonstrated experience in containerization concepts.

  • Demonstrated experience in Machine Learning Operations (MLOps).

  • Demonstrated expertise in software engineering, cloud architecture and UI design.

  • Demonstrated experience supporting big data environments.

  • Demonstrated
    ability
    to
    effectively
    communicate
    (verbal
    and
    written)
    with
    technical
    and non-technical personnel as well as all levels of management and staff.

Highly Desired Skills and Demonstrated Experience

Skills and demonstrated experiences that are highly desired but not required to perform the work include:


    • Data Science #1

    • Demonstrated experience with proficiency in SQL

    • Demonstrated experience with Cypher

    • Demonstrated experience with Amazon Web Service (AWS), (Lambda)

    • Demonstrated experience with Docker

    • Data Science #2

    • Demonstrated experience with proficiency in Python and SQL

    • Demonstrated experience with Docker

    • Demonstrated experience with Flask, Gradio, or Streamlit


 TS/SCI with POLY REQUIRED