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Data Engineer Relocation Jobs in Washington, DC (NOW HIRING)

Bizoforce Inc

Data Engineer (Databricks)

Washington, DC · On-site

$129K - $155K/yr

Data Engineer - Databricks Location: Washington, DC Metro Area Duration: Long-Term Full-Time (W2 ... Candidates relocating to the DC area are welcome to apply. * Must be authorized to work in the ...

KBR

Data Engineer, JR

Chantilly, VA

$119K/yr

Data Engineer, JR KBR is seeking a Data Engineer to support one of our government customers in ... Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term ...

KBR, Inc.

Data Engineer, JR

Chantilly, VA · On-site

$119K/yr

Data Engineer, JR KBR is seeking a Data Engineer to support one of our government customers in ... Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term ...

Revature

Data Engineer - Databricks

Washington, DC · On-site

$129K - $155K/yr

Revature is hiring experienced data engineers to join a large-scale Databricks platform build ... Candidates relocating to the DC area are welcome to apply. * Must be authorized to work in the ...

JTEC Consulting

Data Scientist / Data Engineer

Mclean, VA · Hybrid

$160K - $220K/yr

Data Scientist / Data Engineer McLean, VA 22102 JTEC Consulting LLC focuses on successfully ... Northern Virginia locations 5 days/week on-site Relocation : Relo support will be considered for ...

BizTech Fusion LLC

Senior Data Engineer

Washington, DC · On-site

$140 - $190/hr

Must be currently based in or willing to relocate to the Washington, DC metro area * Must be available to work 2 days onsite per week Job Overview We are seeking a Senior Data Engineer / Data Analyst ...

Meditore

JOB ID 12231: Data Engineer

Ashburn, VA · On-site

$175K - $178K/yr

Data Engineer Meritore Technologies LLC, an Ashburn, VA based IT Solution, Services and Product ... Travel and relocation to various unanticipated client locations throughout the United States may be ...

Bridge Defense

Data Engineer

Washington, DC · On-site

$75 - $88/hr

No Relocation. * Must be able to sit/stand at a desk for long‑periods and must be able to lift 20 pounds occasionally. * Must be able to multi‑task and rapidly change priorities with limited ...

Team Velocity

Senior Data Engineer

VA · Remote

$150K - $180K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... No relocation assistance provided for this position. NO PHONE CALLS PLEASE. About Team Velocity ...

BasisPath Inc

Senior Data Engineer

Mclean, VA · On-site

$100 - $130/hr

BasisPath is seeking a highly motivated Senior Data Engineer to support mission‑critical data ... We provide a comprehensive benefits package including signing bonuses, relocation assistance ...

BasisPath, Inc.

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

BasisPath is seeking a highly motivated Senior Data Engineer to support mission-critical data ... We provide a comprehensive benefits package including signing bonuses, relocation assistance ...

Range

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

About the role As a Senior Data Engineer at Range, you'll be the technical owner of Range's data ... If you're not currently based in the area, but love what you see, let's discuss relocation as part ...

Range

Senior Data Engineer

Mclean, VA · On-site

$120 - $150/hr

About the role As a Senior Data Engineer at Range, you'll be the technical owner of Range's data ... If you're not currently based in the area, but love what you see, let's discuss relocation as part ...

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Showing results 1-20

All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Washington, DC

Data Engineer Relocation information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do data engineer relocation jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer relocation 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 a data engineer relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What are popular job titles related to Data Engineer Relocation jobs in Washington, DC?

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

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

The top searched job categories for Data Engineer Relocation jobs in Washington, DC are:

Data Engineer Relocation jobs near you
Infographic showing various Data Engineer Relocation job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer (Databricks)

Bizoforce Inc

Washington, DC • On-site

$129K - $155K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

Role: Data Engineer - Databricks

Location: Washington, DC Metro Area

Duration: Long-Term Full-Time (W2)

(Does not require Sponsorship)

How the role works

  • Weeks 1-10: full-time paid Databricks training, delivered remotely. You are a paid, full-time employee with full benefits throughout. No cost to you and no repayment obligation.
  • You earn the Databricks Certified Data Engineer Associate and Professional certifications during the program.
  • This is a long-term client engagement. Over time there may be an opportunity for the client to hire you directly. That is a possible long-term outcome, not a guaranteed or near-term one.
  • Training is expected to begin in late September 2026, with deployment around December 2026.

What we offer

  • Competitive pay from day one of training. Compensation is discussed early in the process.
  • Medical, dental, and vision coverage
  • 401(k) with company match
  • Paid time off and paid holidays
  • All Databricks training and certification costs covered by Revature

What you need

  • 2-7 years of hands-on data engineering experience
  • Experience delivering multiple production-grade cloud data platform implementations
  • Advanced Python, SQL, and Spark/PySpark with some exposure to Databricks
  • Strong knowledge of ETL/ELT, data modeling, change data capture, streaming, governance, and performance optimization
  • Experience with Git, CI/CD, automated testing, and deployment strategies
  • Experience contributing to solution design and architectural decisions
  • Experience leading technical implementation activities and/or mentoring engineers
  • At least one Associate-level or higher AWS, Azure, or Google Cloud Platform certification
  • Able to work on-site in the Washington, DC metro area from the start of the client engagement, approximately December 2026. Candidates relocating to the DC area are welcome to apply.
  • Must be authorized to work in the United States without restriction. This position supports a client engagement subject to a background investigation.

Nice to have

  • Delta Lake or Lakehouse experience
  • Snowflake, Redshift, Synapse, or BigQuery experience
  • Docker or Kubernetes exposure
  • Working knowledge of Terraform or infrastructure as code
  • Exposure to Terraform or infrastructure as code
  • Familiarity with Snowflake, Redshift, Synapse, or BigQuery
  • Experience with modern cloud data platforms

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