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Data Analytics Engineer Jobs in Cincinnati, OH (NOW HIRING)

Data Engineer

Cincinnati, OH · On-site

$109.90K - $132K/yr

Data Analytics Engineer Work site: Cincinnati (Onsite) Job Title: Reports Developer (Spotfire/AWS Glue) Location: Cincinnati, OH Job Type: Full-time About Us: Capgemini Americas INC. is a forward ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Data Engineer

Cincinnati, OH · On-site

$109.90K - $132K/yr

Data Engineer Location: Cincinnati, OH Fulltime only * 7+ plus years of experience in solutioning ... Strong at analytical and problem-solving skills * Experience working with multi-vendor, multi ...

Data Engineer

Cincinnati, OH · Hybrid

$109.90K - $132K/yr

Data Engineer Location: Blue Ash, OH (Hybrid 3 days onsite and candidate can work from Cincinnati ... Develop robust data pipelines and workflows for the new Customer Platform Analytics system.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Engineer

Cincinnati, OH · On-site

$109.90K - $132K/yr

Ensure data is semantically enriched to support advanced analytics and machine learning models ... Experience with other programming languages such as Java or Scala is a plus. * Experience with SQL ...

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... agents, prompt engineering. * Ability to convert raw data into usable and visualized ...

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Data Analytics Engineer information

See Cincinnati, OH salary details

$43.4K

$126.6K

$173.2K

How much do data analytics engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for data analytics engineer in Cincinnati, OH is $126,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $134,200.00 per year, depending on experience, location, and employer.

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.

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.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.

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 are the most commonly searched types of Data Analytics Engineer jobs in Cincinnati, OH? The most popular types of Data Analytics Engineer jobs in Cincinnati, OH are:
What are popular job titles related to Data Analytics Engineer jobs in Cincinnati, OH? For Data Analytics Engineer jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Cincinnati, OH look for? The top searched job categories for Data Analytics Engineer jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Data Analytics Engineer jobs? Cities near Cincinnati, OH with the most Data Analytics Engineer job openings:

Data Analytics Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$109.90K - $131.90K/yr

Contractor

Posted 21 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.