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

Data Engineer

Reston, VA ยท On-site

$119K - $143K/yr

... relocation and/or travel to work/project location. โ€ข All applicants authorized to work in the ... We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ...

Senior Data Engineer - Databricks

Washington, DC ยท On-site

$120K - $163K/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 ...

This role focuses on applying data science, machine learning, and data engineering techniques to ... Video interview with hiring manager and technical team - Relocation Candidates: Will consider ...

Showing results 21-40

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:

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.

FBI Data Engineer (Elasticsearch)- RELOCATION HUNTSVILLE ALABAMA with Security Clearance

Kforce Federal Solutions

Reston, VA โ€ข On-site

$119K - $143K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Note: This role would require relocating if not local to Huntsville, Alabama Data Engineer (SME) โ€“ OpenSearch / Elasticsearch โ€“ TS Cleared
Location: Huntsville, AL (Redstone Arsenal โ€“ Onsite Mโ€“F, Core Hours)
Clearance: Active Top Secret Required
Employment Type: W2 Consultant (Kforce)
Benefits: Medical, Dental, Vision, 401(k), and more Contact Recruiter Directly:
Brenton Anderson
Email:
LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ Overview
We are seeking a SME-Level Data Engineer specializing in OpenSearch / Elasticsearch to support a mission-critical federal program focused on advanced analytics, operational intelligence, and national security initiatives.
This is a high-impact, hands-on role working with search and analytics platforms to process and analyze sensitive data in secure environments. Your work will directly support decision advantage and operational readiness.
You will play a key role in designing, optimizing, and sustaining search infrastructure and data ingestion pipelines in a highly collaborative, mission-driven setting. Key Responsibilities Design, implement, and optimize OpenSearch / Elasticsearch clusters for performance and scalability
Build and maintain data ingestion pipelines using Logstash, Beats, and Kafka
Enhance data indexing, search performance, and query efficiency across large datasets
Support backend data processing and search analytics within AWS environments
Monitor and tune system performance to ensure high availability and reliability
Collaborate with cross-functional teams across engineering, analytics, and infrastructure
Ensure data integrity and consistency across ingestion and indexing pipelines
Support secure data handling and compliance requirements within a cleared environment Required Qualifications Active Top Secret clearance
Strong experience with OpenSearch and/or Elasticsearch (cluster design, optimization)
Experience building ingestion pipelines using Logstash, Beats, and Kafka
Experience supporting data processing and search platforms within AWS environments
Experience working with large, complex datasets in secure or regulated environments
Ability to operate at a senior/SME level, owning solutions end-to-end Work Environment Fully onsite at Redstone Arsenal (Huntsville, AL)
Mondayโ€“Friday within standard core business hours
Secure facility requiring strict adherence to security protocols
Fast-paced, mission-focused environment supporting real-world operational needs
Direct collaboration with highly skilled technical teams Why Join Kforce?
As a W2 consultant with Kforce, youโ€™ll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs Impact
This role offers the opportunity to directly support national security initiatives by delivering advanced search and analytics capabilities that enable mission-critical decision-making in a secure environment. Apply Today
Join a team where your expertise in search platforms, data ingestion, and analytics engineering directly contributes to mission success. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking โ€œApply Todayโ€ you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.