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Data Engineer Relocation Jobs in Maryland (NOW HIRING)

Federated IT

Data Engineer

Boring, MD · On-site

$106K - $128K/yr

Data Engineer Federated IT - Joint Base Anacostia-Bolling, Maryland, United States About this ... No relocation required. * Must be able to sit or stand at a desk for long periods and lift 20 ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... No relocation provided Base Compensation $125,000.00-$165,000.00 USD Most new hires fall within ...

STScI

Software Engineer, II

Baltimore, MD · On-site

$96K - $132K/yr

We are seeking a Software Engineer, II /Junior Data Engineer to join our Data Management Division ... Candidates must reside in or be willing to relocate to our local market. (MD, DE, VA, PA, DC & WV)

KBR

Data Center Engineer

Lanham, MD · On-site

$160K - $195K/yr

Data Center Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team ... Additional compensation may be in the form of sign on bonus, relocation benefits, short-term ...

KBR, Inc.

Data Center Engineer

Lanham, MD · On-site

$160K - $195K/yr

Data Center Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team ... Additional compensation may be in the form of sign on bonus, relocation benefits, short-term ...

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Data Engineer Relocation information

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 Maryland?

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

What job categories do people searching Data Engineer Relocation jobs in Maryland look for?

The top searched job categories for Data Engineer Relocation jobs in Maryland are:

What cities in Maryland are hiring for Data Engineer Relocation jobs?

Cities in Maryland with the most Data Engineer Relocation job openings:

Data Engineer Relocation jobs near you

Data Engineer

Boring, MD • On-site

Federated IT
51 - 200 employees
Learn more about Federated ITexternal

$106K - $128K/yr

Other

Posted 8 days ago

Key responsibilities

  • Configure, maintain, and design DARTS workflows, templates, and routing procedures to support intelligence production and dissemination.

  • Utilize DARTS capabilities to track intelligence requirements, manage tasking processes, and support cross-organizational information sharing.

  • Design, implement, and operate data management systems, including data storage, access, and optimization of data pipelines for intelligence needs.

Job description

Data Engineer

Federated IT – Joint Base Anacostia-Bolling, Maryland, United States

About this position

Bridge Defense is redefining modern defense technology delivery. Based in Washington, D.C., we provide full-spectrum national security solutions that combine secure infrastructure, cleared talent, and mission‑ready software for the Department of Defense, the Intelligence Community, and federal law‑enforcement agencies. Our services include secure software development in classified environments and the design and implementation of advanced IT and cybersecurity capabilities ranging from secure cloud architectures to data center operations, scientific analysis, cyber defense, and intelligence analysis.

Core Values
  • Innovation & Responsiveness: We push beyond legacy models with efficient, tech‑led solutions built to scale and evolve.
  • Trusted Performance: Security, compliance, and deep experience in delivering to demanding environments guide all we do.
  • Mission‑Focused Expertise: From veteran leadership to cleared engineers, our people understand both the technology and the mission.
Essential Duties and Responsibilities
  • Configure and maintain DARTS workflows, templates, and routing procedures that support intelligence production and dissemination requirements.
  • Design and implement DARTS workflows that streamline intelligence product development, coordination, and dissemination processes.
  • Establish routing procedures and approval chains that ensure appropriate review and clearance of intelligence materials.
  • Utilize DARTS capabilities to track intelligence requirements, manage tasking processes, and monitor collection and analytical efforts.
  • Coordinate requirement prioritization and resource allocation across production elements; implement tracking mechanisms that provide visibility into requirement satisfaction and identify gaps requiring attention.
  • Utilize DARTS collaboration features to support cross‑organizational intelligence production efforts and information sharing.
  • Design, implement, and operate data management systems for intelligence needs.
  • Design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems.
  • Work with data users to determine, create, and populate optimal data architectures, structures, and systems; plan, design, and optimize data throughput and query performance.
  • Participate in the selection of backend database technologies (e.g., SQL, NoSQL, HPC), their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the required content, volume, ETL, and periodicity of data for timely analysis.
Required Qualifications
  • Direct experience performing detailed groundwork that turns AI concepts into operational reality.
  • At least a portion of the experience within the last two years.
Preferred Qualifications
  • Bachelor’s degree with at least eight years of relevant experience or twelve years of relevant experience in lieu of a degree.
General Factors
  • May be required to work within a compressed schedule; more than 40‑hour work weeks may be expected.
  • Willing to travel as needed.
  • No relocation required.
  • Must be able to sit or stand at a desk for long periods and lift 20 pounds occasionally.
  • Must be able to multi‑task and rapidly change priorities with limited notice.
Clearance

TS/SCI with current CI Poly (adjudicated within the past five years or ability to pass a CI Poly).

Location

Joint Base Anacostia‑Bolling; On‑Site.

Salary Range

75,000 – 88,000 USD per year.

Equal Employment Opportunity Statement

Bridge Defense is an Equal Employment Opportunity and affirmative action employer. The company provides equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, or disability. If you are a qualified disabled veteran or an individual with a disability and need reasonable accommodation to use or access our online system, please contact us at 202‑436‑9222.

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