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Remote Ai Data Engineer Jobs in Ohio (NOW HIRING)

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Under general direction, the data engineer will devise and/or modify procedures and software to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Under general direction, the data engineer will devise and/or modify procedures and software to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Senior Data Engineer (Snowflake)

Columbus, OH · On-site +1

$102K - $139K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... Experience implementing AI-driven data workflows. * Experience working with Finance or Commission ...

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Palantir Foundry Engineer #0910 Perrysburg, OH 43551 / Hybrid-Remote Long-term ***PLEASE DO NOT ... Develop and maintain data transformations, ML workflows, and automation scripts using Python and ...

Senior Data Engineer

Columbus, OH · On-site +1

$142K - $177K/yr

Description Position Summary The Sr. Data Engineer is responsible for leading the design and ... Location : Remote Employment Classification Status: Full-time FLSA: Exempt Equal Employment ...

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines ... This is a remote position requiring all work be performed in the continental United States. US ...

Description Position Summary: The Data Engineer II will play a vital role in our Data ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... If fully remote: must be willing to travel * This position will require the ability to work ...

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Showing results 21-40

Remote Ai Data Engineer information

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are the most commonly searched types of Ai Data Engineer jobs in Ohio?

The most popular types of Ai Data Engineer jobs in Ohio are:

What job categories do people searching Remote Ai Data Engineer jobs in Ohio look for?

The top searched job categories for Remote Ai Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Remote Ai Data Engineer jobs?

Cities in Ohio with the most Remote Ai Data Engineer job openings:

Data Engineer

Huntington

Columbus, OH • On-site, Remote

$63K - $124K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 9 days ago


Job description

Description This role will be onsite at our Easton Oval office in Columbus, OH (or in Dallas, TX, Minnetonka, MN) Summary: Under general direction, the data engineer will devise and/or modify procedures and software to solve complex data problems considering data integrity, lineage, controls, and error handling. This includes data analysis, coding, designing controls, testing, debugging, and documenting as needed. You will be competent to work at a high technical level.

Duties and Responsibilities: Support data analysis, deployments, enhancements, and integrations between systems using various data patterns. In partnership with Solutions Architecture, provide recommendations or develop solutions and implement accordingly. Analyze and review existing or proposed data sources, controls, security, scalability and performance requirements with clients, and team members.

Develop or modify software application design and specific modules. Conduct testing of new or customized data integrations to ensure specifications are me, alone or in partnership with QA resources. Document functions and changes to data integrations and ingestion patterns, test activities/results, error handling, and backup/recovery procedures.

Serve as 3rd level support and assist lower tier support for ongoing maintenance and production issues. Complete work in an agile development environment and follow appropriate programming/engineering methodologies. Basic Qualifications: Bachelor's Degree or 4+ additional years of equivalent experience.

3+ years of related experience in IT data engineering and analysis. 1+ years of experience with data solutions leveraging SQL, Java, Springboot, and/or Python. Preferred Qualifications: 3-5+ years of IT data engineering and analysis.

Familiarity with big data platforms (Snowflake, AWS, GCP). Ability to engineer data solutions using ETL tools or develop APIs as needed. Bachelor's Degree or equivalent work experience.

Sound knowledge of Software Development Life Cycle (SDLC) and Agile frameworks. Financial Industry Experience preferred, or other regulated industries - IT Risk, Audit, and/or Information Security experience, Knowledge of SAS AML or Actimize product suite. Knowledge of version and revision control practices and procedures.

Knowledge of design and programming techniques that provide security. Ability to debug code and/or troubleshoot and analyze defects. Understanding of data control frameworks and handling approaches.

Ability to work independently and multitask within a collaborative work environment. Willingness and aptitude for continuous improvement. Do the right thing attitude while being a strong team player.

Strong communication and collaboration skills, focus on customer service. Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home.

Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis. Compensation Range: $63,000 - $124,000 Annual Salary The compensation range represents the anticipated low and high end of the base compensation range for this position.

Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).

Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration. Apply.