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Data Analytics Engineer Jobs in Ohio (NOW HIRING)

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The analytics engineering layer on BigQuery is healthy and fully owned, and the team actively utilizes AI-native practices. You are also overseeing data architecture in alignment with the predictive ...

The Hillman Group

Analytics Engineer

Cincinnati, OH · On-site

Job Summary : The Hillman Group is seeking an Analytics Engineer who plays a critical role in ... This role involves transforming raw data into trusted datasets and collaborating with various ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

The Data & Analytics Specialist will be responsible for developing data concepts, analyzing data ... Qualifications : Required : • Bachelor's degree in Industrial Engineering, Logistics, or ...

Further

Data & Analytics Strategy

Cleveland, OH · Hybrid

What experience should you have: * 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Bachelor's degree in Industrial Engineering, Logistics, or Technical field of study * 3 to 5 years ...

Schaeffler

Data & Analytics Specialist

Wooster, OH

Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes ... Bachelor's degree in Industrial Engineering, Logistics, or Technical field of study * 3 to 5 years ...

Frch Nelson

Senior Analytics Engineer

Cincinnati, OH

Migrate core data infrastructure from legacy systems to modern platforms, supporting the business ... engineering, BI, or analytics delivery roles * Proven experience delivering production data and ...

Frch Nelson

Senior Analytics Engineer

Cleveland, OH

Migrate core data infrastructure from legacy systems to modern platforms, supporting the business ... engineering, BI, or analytics delivery roles * Proven experience delivering production data and ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Ohio

Data Analytics Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data analytics engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data analytics 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.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Ohio? The most popular types of Data Analytics Engineer jobs in Ohio are:
What are popular job titles related to Data Analytics Engineer jobs in Ohio? For Data Analytics Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Ohio look for? The top searched job categories for Data Analytics Engineer jobs in Ohio are:
What cities in Ohio are hiring for Data Analytics Engineer jobs? Cities in Ohio with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Ohio as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Analytics Engineer

Management Institute of Canada

Dublin, OH • Hybrid

Full-time

Medical, Retirement

Re-posted yesterday

Job description

Together we make breakthroughs possible.

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.

Why join OCLC?

OCLC is consistently recognized as a best place to work by several independent programs. Werecognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.

  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.

  • Free use of our on-site tness center, gym sports, group exercise classes, and game room

  • Onsite catering and cafeteria subsidized by OCLC

  • Health and wellness events

  • Work environments with individual and team spaces and the latest technology tools

  • Paid parental leave and adoption assistance

  • Tuition reimbursement and Public Service Loan Forgiveness eligibility

  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.

The job details are as follows:As an Analytics Engineer, you will be responsible for designing, developing, and testing software and scalable data solutions. You will collaborate with team members to solve problems, implement new features, and maintain existing systems. You will collaborate with stakeholders and other engineers to define, refine, and implement features and enhancements.

Responsibilities

  • Independently write, test, and debug code for assigned tasks.
  • Collaborate with other team members to solve problems.
  • Contribute to design discussions, code reviews, and documentation.
  • Develop and implement new features and functionalities.
  • Optimize application performance and scalability.

Qualifications

  • Bachelor's degree in computer science, data science, related discipline, or equivalent work experience
  • 2-4 years of relevant experience in software development, data engineering, or data analysis.
  • Strong proficiency in SQL and programming skills in one or more languages.
  • Experience with software development methodologies.
  • Ability to work independently and as part of a team.
  • Strong problem-solving and analytical skills.
  • Knowledge of database systems.
  • Experience integrating AI tools, frameworks, and concepts into the software development process.

Required Skills

SQL databases (Snowflake, PostgreSQL), Data visualization tools (Power BI), Python, Object-Oriented Design, RESTful APIs, Linux/Unix, Version control (Git, SVN), Data Integration tools (dbt, Informatica)

Desired Skills

Cloud platforms (AWS, GCP, Azure), CI/CD, Testing frameworks (Playwright, JUnit)

Working Conditions: Normal office environment.ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

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