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Data Engineer Relocation Jobs in Dayton, OH (NOW HIRING)

M&S Engineer

Dayton, OH ยท On-site

The candidate must have the ability to interact with data suppliers, work well with coworkers and ... The candidate must be located in or willing to relocate to the Dayton, Ohio area. Desired:

Live or relocate to a commutable distance to Wright Patterson Airforce Base and surrounding areas ... and data views (DV). * Experience engineering / implementing operational prototypes is highly ...

M&S Engineer

Dayton, OH ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to interact with data suppliers, work well with coworkers and interface with customers, all ... Must be located in or willing to relocate to the Dayton, Ohio area. Preferred Qualifications:

M&S Engineer

Dayton, OH ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ability to interact with data suppliers, work well with coworkers and interface with customers, all ... Must be located in or willing to relocate to the Dayton, Ohio area. Preferred Qualifications:

Senior Process Engineer (Assembly)

Greenville, OH ยท On-site

$95K - $123K/yr

By leveraging advanced data analytics and Six Sigma methodologies, the successful candidate will ... Relocation available for eligible candidates No Visa sponsorship available Your responsibilities ...

Showing results 21-40

Data Engineer Relocation information

See Dayton, OH salary details

$43.3K

$126.1K

$172.5K

How much do data engineer relocation jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer relocation in Dayton, OH is $126,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,600.00 per year, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Data Engineer Relocation jobs in Dayton, OH look for?

The top searched job categories for Data Engineer Relocation jobs in Dayton, OH are:

What cities near Dayton, OH are hiring for Data Engineer Relocation jobs?

Cities near Dayton, OH with the most Data Engineer Relocation job openings:

Other

Re-posted 6 days ago


Job description

Modern Technology Solutions, Inc. (MTSI) is seeking a Modeling and Simulation (M&S) Engineer. You will support a small, highly empowered team at our Dayton, OH location where every team member is directly responsible for the success. You will utilize your M&S experience in systems, subsystem, and component models for aerospace applications.
ROLE AND RESPONSIBILITIES*
  • Your essential job functions will include but may not be limited to:
  • You will be responsible for development of models, algorithms and associated simulation software for the above system types and will perform trade-space analysis to assess and verify system characteristics and capabilities.
  • You will document all software and hardware characteristics and changes to existing and new simulation environments; test architecture design and test planning; experimental design and test execution; data collection and analysis; and report generation.
  • You will integrate models into complex simulation architectures, including engagement-level simulations, theater-level simulations, hardware-in-the-loop architectures.

QUALIFICATIONS AND EDUCATION REQUIREMENTS*
Required:
  • 3+ years of experience in the use of modeling and simulation software development frameworks.
  • Experience with MATLAB/Simulink.
  • A basic understanding of aerospace system functions and dynamics, and how to model them, such as detailed sub-system models and flight dynamics models.
  • Candidate should have demonstrated abilities to solve difficult hardware and software integration challenges.
  • The candidate must be a motivated self-starter who is able to work both independently and in a collaborative team environment, often with minimal guidance and within rigid timelines.
  • The candidate must have the ability to interact with data suppliers, work well with coworkers and interface with customers, all at disparate locations.
  • The candidate must have outstanding skills in communicating complex technical issues and in providing comprehensive written, oral and/or digital products (including document organization and technical writing).
  • The candidate must have good analytic skills and the ability to apply these skills in a multi-tasking environment where more than one project may require his/her participation at a given time (typically one primary project and one or two ancillary projects).
  • The candidate should have familiarity with contractor and government roles in applying intelligence analysis to aerospace system development and acquisition.
  • The candidate must be located in or willing to relocate to the Dayton, Ohio area.

Desired:
  • Professional training in modeling and simulation as related to space, missile, or aircraft system performance/dynamics.
  • At least one additional programming/software development language (C, C++, Python).
  • Familiarity with TMAP, AFSIM, ITASE, NGTS, or JSE.
  • The candidate should possess familiarity with the Department of Defense (DoD) and the United States Intelligence Community (IC).
  • Specific experience developing mathematical models of aerospace vehicle dynamics, guidance navigation, and control components and algorithms.
  • A basic understanding of system component integration and the ability to model entire systems or individual components, such as sensors, GNC, propulsion, aerodynamics, etc., to varying levels of detail will be expected.

Education Requirements:
  • B.S. degree in an engineering or physics discipline. (Required)
  • Master's degree in an engineering or physics discipline. (Desired)

Clearance Requirements:
  • Current Secret
  • TS with SCI eligibility is desired.
  • U.S. Citizenship is required for this position.

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