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Data Analytics Engineer Jobs in Ohio (NOW HIRING)

Liberty Mutual

Senior Data Analytics Engineer

Columbus, OH

$102K - $139K/yr

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110K - $132K/yr

Analytics Engineer, Data Platform Full Time Columbus, Ohio AndHealth is on a mission to radically improve access and outcomes for the most challenging chronic health conditions, with the goal of ...

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110K - $132K/yr

Analytics Engineer, Data Platform Full Time Columbus, Ohio AndHealth is on a mission to radically improve access and outcomes for the most challenging chronic health conditions, with the goal of ...

Palmer Holland

Analytics Engineer

Westlake, OH · On-site

Director of Data Enablement | Location: Westlake, OH | Hybrid Role Summary The Analytics Product Engineer designs and delivers trusted analytics products that help Palmer Holland make faster, clearer ...

hillman

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH · On-site

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

hillman

Analytics Engineer

Cincinnati, OH

Job Summary The Analytics Engineer plays a critical role in enabling enterprise reporting and data-driven decision-making by transforming raw data into trusted, well-modeled datasets. This role ...

OCLC, Inc.

Analytics Engineer

Dublin, OH · On-site

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.

OCLC, Inc.

Analytics Engineer

Dublin, OH · On-site

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.

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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.

Data Analytics Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$109K - $131K/yr

Contractor

Re-posted 8 days ago

Job description

Hi,
Hope your are doing well. 

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume on anjali08@kanakits.com.  


Role: DATA ANALYTICS ENGINEER

Location: Cincinnati, OH (onsite)

We are forward-thinking organization committed to harnessing the power of data to drive business success. We are seeking a skilled Data Visualization Developer with expertise in Spotfire and AWS Redshift to join our team and help us build and maintain robust data infrastructure.

 

Responsibilities:

  • Design, develop, and maintain reports using Tibco Spotfire
  • Optimize and manage existing reports.
  • Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
  • Develop and maintain documentation for data processes and architecture.
  • Stay updated with the latest trends and best practices in data engineering and AWS technologies.

 

Requirements:

  • Bachelor's degree in computer science, Information Technology, or related field.
  • Proven experience as a Data Engineer, with a focus on AWS Redshift.
  • Strong proficiency in SQL and database management.
  • Strong proficiency in Tibco Spotfire.
  • Familiarity with AWS services such as AWS Quick sight, AWS redshift
  • Knowledge of data warehousing concepts and best practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively.
  • Knowledge on CICD process

 

Preferred Qualifications:

  • Certifications in Tibco Spotfire
  • Knowledge of programming languages such as Python, SQL etc.
  • Understanding of data governance and security practices.