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Remote Data Jobs in Columbus, OH (NOW HIRING)

Georgia IT Inc

Data Engineer- Columbus OH

Columbus, OH · Remote

$107K - $128.50K/yr

Job- Data Engineer Location- Remote Core skills needed - * Data Engineering tools and techniques (any ETL/ ELT skills are good to have ) * Python, XML, XPath * SQL * AWS Lambda, SQS, Fargate, S3 ...

Cayuse Holdings

Data Analyst

Columbus, OH · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

InterSources

Data Engineer

Columbus, OH · On-site

$107K - $128.50K/yr

We have an urgent need for four Data Engineers ... These are remote roles, but they will give preference to those located in Columbus, OH (first ...

Battelle

Data Scientist II

Columbus, OH · On-site

As a Data Scientist, you will contribute to impactful research and analytics that drive evidence ... Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday ...

Battelle

Data Scientist I

Columbus, OH · On-site

As a Data Scientist, you will contribute to impactful research and analytics that drive evidence ... Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday ...

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Remote Data information

See Columbus, OH salary details

$44.4K

$159.4K

$235.2K

How much do remote data jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data in Columbus, OH is $159,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,900.00 and $164,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

What are the most commonly searched types of Data jobs in Columbus, OH? The most popular types of Data jobs in Columbus, OH are:
What are popular job titles related to Remote Data jobs in Columbus, OH? For Remote Data jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Columbus, OH look for? The top searched job categories for Remote Data jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Data jobs? Cities near Columbus, OH with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Columbus, OH as of May 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $159,391 per year, or $76.6 per hour.
Data Engineer- Columbus OH

Data Engineer- Columbus OH

Georgia IT Inc

Columbus, OH • Remote

$107K - $128.50K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job- Data Engineer
Location- Remote
Core skills needed -
  • Data Engineering tools and techniques (any ETL/ ELT skills are good to have )
  • Python, XML, XPath
  • SQL
  • AWS Lambda, SQS, Fargate, S3,
  • Dev Ops
  • 10-12 year of exp must have
  • Proficiency in Python
  • Proficiency in Linux/Unix environments
  • Experience building applications for public cloud environments (AWS preferred)
  • Experience with AWS DevOps tools (git, Cloud Development Kit, CDK Pipeline) is highly desired
  • Experience building applications using AWS Serverless technologies such as Lambda, SQS, Fargate, S3 is highly desired
  • Experience with Apache Airflow is a plus
  • Experience building containerized applications (Docker, Kubernetes) is a plus

Skills
Position Responsibilities
  • Data Engineer is responsible for developing Life Sciences content curation and delivery system for the purpose of building life sciences databases.
  • Develops data transformation and integration pipelines and infrastructure foundations of life sciences content in support of scientific databases and data curation
  • Combines strong software development and data engineering skills with a working knowledge of basic biology/chemistry/physics to develop sophisticated informatics solutions that drive efficiencies in content curation and workflow process. Applies data transformation and other data-engineering software development capabilities to contribute to the building of new scientific information management systems supporting scientific database building activities.

Competencies/Technologies
  • Experience with databases technologies (NoSQL, relational, property graph, RDF/triple store)
  • Experience with data engineering tools and techniques is highly desired
  • Experience working with XML and XPath is highly desired
  • Experience with MarkLogic/Xquery is a plus
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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

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