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Exempt Data Engineer Jobs in Ohio (NOW HIRING)

Senneca Holdings

Data Engineer

Springdale, OH · On-site

$110K - $132K/yr

... Summary As a Data Engineer at Senneca, you will join a high-impact, stakeholder-facing team ... Exempt Travel: Up to 20% Physical Require ments: Ability to sit, stand, and walk for extended ...

Senneca Holdings

Data Engineer

Springdale, OH · On-site

$110K - $132K/yr

... Summary As a Data Engineer at Senneca, you will join a high-impact, stakeholder-facing team ... Exempt Travel: Up to 20% Physical Require ments: Ability to sit, stand, and walk for extended ...

Senneca Holdings

Data Engineer

Springdale, OH · On-site

$110K - $132K/yr

As a Data Engineer at Senneca, you will join a high-impact, stakeholder-facing team building a ... Exempt Travel: Up to 20% Physical Requirements: Ability to sit, stand, and walk for extended ...

giftHEALTH Inc

Senior Data Engineer

Columbus, OH · On-site

$123K - $138K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of ... Exempt Equal Employment Opportunity (EEO) Statement Gifthealth is an Equal Opportunity Employer and ...

Gifthealth Inc

Senior Data Engineer

Columbus, OH · Remote

$102K - $139K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of ... Exempt Equal Employment Opportunity (EEO) Statement Gifthealth is an Equal Opportunity Employer and ...

Gifthealth Inc

Senior Data Engineer

Columbus, OH · Remote

$123K - $138K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of ... Exempt Equal Employment Opportunity (EEO) Statement Gifthealth is an Equal Opportunity Employer and ...

Gifthealth

Senior Data Engineer

Columbus, OH · On-site

$123K - $158K/yr

Position Summary The Sr. Data Engineer is responsible for leading the design and architecture of ... Exempt Equal Employment Opportunity (EEO) Statement Gifthealth is an Equal Opportunity Employer and ...

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 ...

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 ...

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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 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:
Exempt Data Engineer jobs near you
Data Engineer

Data Engineer

Senneca Holdings

Springdale, OH • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

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

Senneca Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

Process Engineer
We are searching for an experienced Process Engineer - Cincinnati, HQ
Process Engineer - Cincinnati, OH (HQ)
We are seeking an experienced Process Engineer to join our team at our Cincinnati headquarters.
Benefits
Medical, Dental, Vision
401(k) with company match
3 weeks PTO
9 paid holidays (2026)
Career development and tuition assistance
Diverse, inclusive, and welcoming culture
Job Summary
As a Data Engineer at Senneca, you will join a high-impact, stakeholder-facing team building a modern, cloud-native data platform. Reporting to the Director of Data Architecture, you will work across the full data stack-from ingestion to transformation and delivery-while supporting data governance and enabling confident, data-driven decision-making.
This is a hands-on, build-focused role in a greenfield environment using tools such as Snowflake, dbt Fusion CLI, Fivetran, and Python (Snowpark).
Key Responsibilities
Build and maintain data pipelines using Fivetran and custom solutions
Develop and manage dbt models across all data layers (staging to reporting)
Optimize Snowflake performance, cost, and infrastructure
Implement and support data governance, quality, and documentation standards
Collaborate with BI teams (Power BI) to enhance reporting and semantic models
Maintain internal data tools and ensure clean, reliable downstream data
Participate in code reviews and CI/CD best practices
Monitor and resolve data quality issues
Partner with stakeholders to translate business needs into technical solutions
Required Experience & Education
2+ years of experience in data engineering or similar role
Proficiency in Snowflake (or similar), SQL, and performance optimization
Hands-on experience with dbt and ELT tools (e.g., Fivetran)
Working knowledge of Python for data pipelines
Experience with Git, CI/CD, and documentation best practices
Bachelor's degree in a related field or equivalent experience
Must be authorized to work in the United States on a full-time basis
Desired Qualifications
Experience with data observability/quality tools (e.g., Elementary, dbt Expectations)
Knowledge of data governance (ownership, access control, masking)
Exposure to Power BI or similar BI tools
Experience in manufacturing or multi-site environments
Familiarity with data science or machine learning workflows
Additional Skills (Nice to Have)
Polymer processing experience (extrusion, rotational molding)
Strong analytical and process improvement skills
Experience leading cross-functional projects
Knowledge of manufacturing processes and safety standards
Core Competencies
Technical expertise, curiosity, strong communication, collaboration, ownership mindset, adaptability, and business acumen
Additional Details
Salary: Exempt
Travel: Up to 20%
Physical Requirements: Ability to sit, stand, and walk for extended periods; lift up to 20 lbs occasionally
Senneca provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, or genetics.

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