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

NiSource

Senior Data and Analytics Developer

Columbus, OH

$96K - $144K/yr

Senior Data and Analytics Developer Full Time Perm Salary: $96,600 - $144,900, plus 8% annual bonus ... Columbus, OH Relocation assistance provided NiSource is one of the largest fully regulated utility ...

Amazon

Data Center Technician

Johnstown, OH

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job ...

Amazon

Data Center Technician

Johnstown, OH

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job ...

Amazon

Data Center Technician

Johnstown, OH · On-site

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job ...

NiSource

Principal Cloud Engineer

Columbus, OH · Hybrid

$133K - $200K/yr

Columbus, OH (must relocate to Columbus, OH if you reside outside of a commutable distance ... The Cloud Engineers also oversee the design and support of cloudbased data solutions, including ...

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All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Columbus, OH

Data Engineer Relocation information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

How much do data engineer relocation jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data engineer relocation in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 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 are popular job titles related to Data Engineer Relocation jobs in Columbus, OH? For Data Engineer Relocation jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in Columbus, OH look for? The top searched job categories for Data Engineer Relocation jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Data Engineer Relocation jobs? Cities near Columbus, OH with the most Data Engineer Relocation job openings:
Data Engineer Relocation jobs near you
Infographic showing various Data Engineer Relocation job openings in Columbus, OH as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $125,293 per year, or $60.2 per hour.

Urgent Hiring || Python Engineer (AI/ML) OR Data Engineer with AI/ML | USC, GC, EADs | Columbus OH

HighFalutin LLC

Columbus, OH • On-site

Contractor

Posted 6 days ago

Job description

Please find the JD for below role and let me know if you are interested then please share your updated resume.

Python Engineer (AI/ML) OR Data Engineer with AI/ML OR Data Science (AI/ML)

Columbus OH
Relocation is open with prior history/ reason

Visa: USC, GC, EADs

Must Have Skills:

Need Python development and some experience in ML/AI

 

Must:    Python , Spark/Pyspark, AWS

Plus:      Data Bricks, Terraform

With AI/ML - preferred

Required qualifications, capabilities, and skills

Formal training or certification on Software Engineering concepts and 5+ years applied experience

Hands-on with building AI agents and Machine learning

Hands-on practical experience delivering system design, application development, testing, and operational stability

Strong hands-on coding capabilities in languages / platforms such as PySpark / Python / Databricks

Proficiency in automation and continuous delivery methods

Proficient in all aspects of the Software Development Life Cycle

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

In-depth knowledge of the financial services industry and their IT systems