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Exempt Data Engineer Jobs in Ohio (NOW HIRING)

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

The ideal candidate will work closely with Digital SRE engineers, data scientists, DevOps, and ... Contributions to open source AI/SRE projects or relevant technical communities Exempt Status: (Yes ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

The ideal candidate will work closely with Digital SRE engineers, data scientists, DevOps, and ... Contributions to open source AI/SRE projects or relevant technical communities Exempt Status: (Yes ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

The ideal candidate will work closely with Digital SRE engineers, data scientists, DevOps, and ... Contributions to open source AI/SRE projects or relevant technical communities Exempt Status: (Yes ...

PurgeRite LLC

Project Engineer

Columbus, OH

Exempt Job Title: Project Engineer Fair Labor Standards Act (FLSA): (Exempt/Non-Exempt): Exempt ... Projects include data centers, semiconductor and EV battery manufacturers, universities, health ...

Purge Rite LLC

Project Engineer

Columbus, OH · On-site

Exempt Job Title: Project Engineer Fair Labor Standards Act (FLSA): (Exempt/Non-Exempt): Exempt ... Projects include data centers, semiconductor and EV battery manufacturers, universities, health ...

PurgeRite

Project Engineer

Columbus, OH · On-site

Exempt Job Title: Project Engineer Fair Labor Standards Act (FLSA): (Exempt/Non-Exempt): Exempt ... Projects include data centers, semiconductor and EV battery manufacturers, universities, health ...

Black Box

Data Center Field Engineer

Bowling Green, OH · On-site

Exempt Salaried position based upon experience * Contract position with possible extension or hire * Standard site hours: Mon-Fri 7:00am-4:00pm (after hours and weekends if needed) * Location: Onsite ...

Huntington National Bank

Digital - Principal SRE

Columbus, OH · On-site

$55 - $73.25/hr

The ideal candidate will work closely with Digital SRE engineers, data scientists, DevOps, and ... Contributions to open source AI/SRE projects or relevant technical communities Exempt Status: (Yes ...

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All JobsExempt Data Engineer JobsExempt Data Engineer Jobs in Ohio

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 Jul 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 storage and processing tools such as Hadoop or Spark. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships.

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?

Exempt data engineers in senior or specialized roles with extensive experience, advanced skills in big data tools, cloud platforms, and programming can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical expertise, leadership, and industry reputation.

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 the employer qualifies under these categories, often requiring specialized skills and relevant certifications. Cap-exempt status allows for easier visa processing and renewal for eligible roles in these organizations.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on big data, cloud computing, and data infrastructure across industries. Skills in programming languages like Python and SQL, along with experience with tools such as Hadoop and Spark, enhance job prospects in this field.
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:
Exempt Data Engineer jobs near you
Manager of Data Analytics and Reporting

Manager of Data Analytics and Reporting

Gifthealth Inc

Columbus, OH • Remote

$115K - $140K/yr

Other

Posted 16 days ago

Gifthealth rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

20th of 109 rated pharmacies

Job description

Description

About Us

At Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer-centric company dedicated to making a positive impact on people's lives.


Position Summary

The Manager of Data Analytics and Reporting is responsible for leading Gifthealth's data analytics function, owning the end-to-end strategy, team development, and delivery of reporting and insights that drive business decisions. The ideal candidate has deep experience in SQL and BI tools like Looker and Metabase, a track record of managing analysts or engineers, and the ability to translate complex data questions into clear, actionable insights for stakeholders across the organization."


Key Responsibilities  
  • Lead and develop a team of data analysts, fostering a culture of curiosity, rigor, and
  • continuous improvement
  • Own the end-to-end strategy, development, and quality of the analytics and reporting function
  • Partner with engineering, product, and clinical leadership to translate complex business
  • questions into actionable insights
  • Drive adoption of self-serve reporting tools and ensure stakeholders can make confident, data
  • Define and enforce data governance standards for metrics, dashboards, and reporting pipelines
  • Facilitate roadmap planning and prioritization for the analytics team
  • Ensure compliance and confidentiality of Personal Health Information (PHI) across all reporting surfaces
Qualifications
  • Education: BS in Statistics, Mathematics, Economics, Computer Science, or comparable quantitative field and relevant work experience in analytics or data engineering, with demonstrated leadership
  • Experience: 6+ years of experience in analytics, business intelligence, or data engineering and 2+ years of experience managing or leading a team of analysts or engineers
  • Skills:  
  • Deep proficiency with SQL, Python, and BI tools (we use Looker and Metabase)
  • Experience with dbt, data warehouse design, and modern analytics engineering practices
  • Strong communication skills - you can translate data complexity into clear narratives for non-technical stakeholders
  • A proactive approach to building systems and processes that scale
  • Experience in healthcare analytics or regulated data environments preferred
  • An excitement about learning healthcare and the pharmacy space from a unique vantage point
Work Environment
  • Location: Remote
Employment Classification

Status: Full-time
FLSA: Exempt

Equal Employment Opportunity (EEO) Statement

Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status.

Disclaimer

This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel.Gifthealth reserves the right to modify job duties or descriptions at any time.

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