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Exempt Data Engineer Jobs in Ohio (NOW HIRING)

MLOps Automation Senior Lead Engineer

Cleveland, OH · On-site +1

$100K - $132K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Financial Services background Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible ...

MLOps Automation Senior Lead Engineer

Columbus, OH · On-site +1

$100K - $131K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Financial Services background Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible ...

MLOps Automation Senior Lead Engineer

Hagerstown, MD · On-site +1

$97K - $127K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Financial Services background Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible ...

MLOps Automation Senior Lead Engineer

Cincinnati, OH · On-site +1

$99K - $131K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Financial Services background Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible ...

MLOps Automation Senior Lead Engineer

Chicago, IL · On-site +1

$107K - $140K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Financial Services background Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible ...

Applies standard practices and techniques in specific situations, adjusts and correlates data ... Full-Time/Part-Time Full-Time Exempt/Non-Exempt Non-Exempt Location Basic Systems Inc This position ...

Position Profile Full-time / Exempt Reporting Relationships The PLC Programming Engineer reports to ... Applies SQL, Python, other similar programming languages to perform advanced data analysis from ...

... improvements, data collection and analysis, and project leadership. ESSENTIAL FUNCTIONS AND ... STATUS JOB CLASSIFICATION Non-Exempt SALARY LEVEL Hourly MINIMUM WAGE RATE POSITION DESCRIPTION ...

Project Engineer I

Ravenna, OH · On-site

$27.69 - $36.46/hr

Conducts preliminary inspections, field measuring, and data collection. * Prepares project bid ... Exempt Req Number ENG-26-00001 Open Date 5/1/2026 Location Portage County Water Resources ...

Sr Analyst, Data Solution Analyst

Columbus, OH · On-site +1

$83K - $104K/yr

Applies secure software and systems engineering practices throughout the delivery lifecycle to ... Exempt (Not Eligible) Working Conditions: Normal office environment. ADA: The above statements ...

Site Reliability Engineer (SRE) - II

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Preferred: Background in MLOps, data engineering, and/or cloud-native AI deployment. Strong ... Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace ...

Site Reliability Engineer (SRE) - II

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Background in MLOps, data engineering, and/or cloud-native AI deployment. * Strong communication ... Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) Yes ...

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Showing results 1-20

Exempt Data Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do exempt data engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for exempt data engineer in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

Can I get a Data Engineer job with no experience?

Entry-level Data Engineer positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data processing tools such as Apache Spark or Hadoop. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships in data engineering.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and optimize data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively within organizations.

What are Exempt Data Engineers?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an Exempt Data Engineer, and why are they important?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within top-tier companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

What are some common challenges faced by Exempt Data Engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.

What jobs are H1B cap exempt?

H1B cap-exempt jobs include positions at institutions of higher education, nonprofit research organizations, and government research agencies. Data engineers working in these settings may qualify for cap exemption if their employer qualifies under these categories, often requiring specialized skills in data management, cloud platforms, and programming languages. It is important to verify the employer's status to determine eligibility for H1B cap exemption.
What are the most commonly searched types of Data Engineer jobs in Ohio? The most popular types of Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Exempt Data Engineer jobs? Cities in Ohio with the most Exempt Data Engineer job openings:

MLOps Automation Senior Lead Engineer

Huntington

Cleveland, OH • On-site, Remote

$100K - $132K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Job description

Description

Summary:

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and deploying MLOps Automation for some of Huntington's most valuable and most challenging data-driven projects.

Duties and Responsibilities:

  • Streamline the data, analytics, and model development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them through automation.
  • Helps set the strategy and tone for MLOps Automating Engineering strategy and vision for the future.
  • Understand the current process and technical complexities of developing and deploying data pipelines and model builds and develop automation solutions to improve and extend the existing process to become an unattended delivery pipeline.
  • Collaborate closely with product development, architecture, data engineering and testing teams to understand their current build and release processes and make recommendations for improvement through the automation of various tasks.
  • Partner with cross-functional stakeholders, including development, operations, quality assurance and security, to streamline processes.
  • Develop and continuously improve automation solutions to enable teams to build and deploy quality data and code efficiently and consistently.
  • Build automated testing solutions in support of quality management objectives to reduce manual effort.
  • Build automated environment provisioning solutions in response to changes in processing demand.
  • Build automated feedback mechanisms to monitor the performance of models in production.
  • Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.
  • Prepare and present design and implementation documentation to multiple stakeholders.
  • Promote automation across the data management and analytics delivery organization.
  • Perform other duties as assigned.

Basic Qualifications:

  • Bachelor's Degree (Computer Science, Business Administration, Economics or related fields) or equivalent relevant work experience
  • 10+ years of relevant automation engineering experience, of software engineering, in strategy, management consulting, or similar skillset, and of technical leadership experience with data-centric products
  • 10+ years of experience with one or more coding languages (e.g., JavaScript, C++, Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development platforms (e.g., AWS, Azure, Docker, Kubernetes)

Preferred Qualifications:

  • Strong collaboration skills, with a demonstrated ability to work well as part of a team
  • Experience developing CI/CD workflows and tools
  • Strong automation scripting skills
  • Experience in configuration management, test-driven development, and release management.
  • Strong analytical and troubleshooting skills.
  • Experience with agile development and strong understanding of DataOps and ModelOps principles
  • Ability to investigate and analyze information, and to draw conclusions
  • Flexibility, adaptability, and desire to learn new languages and technologies
  • Strong verbal and written communication skills
  • Demonstrated ability to work independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Ability to train more junior analysts regarding day-to-day activities, as necessary
  • Proven ability to lead cross-functional efforts
  • Willingness and ability to learn new technologies on the job
  • Financial Services background


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.

Compensation Range:

Total Base Pay Range 93,000.00 - 189,000.00 USD Annual

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.