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

Staff Analytics Engineer Location: Columbus, OH| Hybrid Salary: $170-200k base We're partnering ... Their platform ingests and operationalizes high-volume, real-time data to support critical decision ...

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110K - $132K/yr

The GTM Engineer (Data & Analytics) will build data-driven GTM systems, automate pipelines, and provide actionable intelligence to drive revenue for OH.io and its portfolio companies.

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110K - $132K/yr

The GTM Engineer (Data & Analytics) will build data-driven GTM systems, automate pipelines, and provide actionable intelligence to drive revenue for OH.io and its portfolio companies.

Analytics Engineer, Care Operations

Columbus, OH · On-site

$67K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analytics Engineer, Care Operations Full Time - Exempt Columbus, Ohio AndHealth is on a mission to ... This is an embedded data partner role that sits close to Care Delivery. You'll be just as ...

Analytics Engineer, Care Operations

Columbus, OH · On-site

$67K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analytics Engineer, Care Operations Full Time - Exempt Columbus, Ohio AndHealth is on a mission to ... This is an embedded data partner role that sits close to Care Delivery. You'll be just as ...

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role ...

Technical Architect - Data, Analytics & AI

Circleville, OH · Hybrid

$59.50 - $76.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Technical Architect - Data, Analytics & AI

Columbus, OH · Hybrid

$61.50 - $79.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

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 ...

Data Engineer - Senior Associate

Columbus, OH

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 - Senior Manager

Columbus, OH

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Engineer - Manager

Columbus, OH

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Experience with ADF or analytics engineering practices for building and testing data models preferred. * Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based ...

Senior Data Analyst

Dublin, OH

$81K - $102K/yr

Experience with ADF or analytics engineering practices for building and testing data models preferred. * Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based ...

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Showing results 1-20

Data Analytics Engineer information

See Columbus, OH salary details

$41.9K

$122.1K

$167.1K

How much do data analytics engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analytics engineer in Columbus, OH is $122,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $129,400.00 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.

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.

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 Columbus, OH?

The most popular types of Data Analytics Engineer jobs in Columbus, OH are:

What are popular job titles related to Data Analytics Engineer jobs in Columbus, OH?

For Data Analytics Engineer jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Columbus, OH look for?

The top searched job categories for Data Analytics Engineer jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Data Analytics Engineer jobs?

Cities near Columbus, OH with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Columbus, OH as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $122,110 per year, or $58.7 per hour.

Staff Analytics Engineer

Harnham

Columbus, OH • On-site

$170/hr

Other

Posted 27 days ago


Job description

Staff Analytics Engineer

Location: Columbus, OH| Hybrid

Salary: $170–200k base



We’re partnering with a rapidly scaling, mission-driven advanced technology company operating at the intersection of AI, software, and complex real-world systems. Their platform ingests and operationalizes high-volume, real-time data to support critical decision-making in high-stakes environments.


As the organization grows, they are hiring a Staff Analytics Engineer to take ownership of core data domains and help shape the long-term architecture of the data platform.


The Opportunity

This is a senior, high-ownership role focused on building foundational data systems, not just reporting. You will define and evolve the ontologies and reusable data models that represent how the company operates across domains such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, executive reporting, and operational workflows across the business.


At the Staff level, you’ll influence platform direction, set engineering standards, and serve as a technical leader within the data organization.


What You’ll Do

  • Lead the design and implementation of scalable, domain-level data models that serve as the backbone of the business
  • Architect ingestion and transformation frameworks across diverse operational systems
  • Set best practices for testing, version control, and CI/CD within analytics workflows
  • Partner closely with engineering, product, and operations leaders to translate ambiguous needs into production-grade data systems
  • Drive roadmap decisions for the data platform, balancing immediate delivery with long-term maintainability
  • Mentor and raise the technical bar for analytics engineers across the team
  • Push the organization beyond dashboards toward reusable data applications and self-serve analytics at scale


What They’re Looking For

  • 7+ years of experience in Analytics Engineering, Data Engineering, or similarly technical data roles
  • Deep expertise in SQL and strong proficiency in Python or another programming language
  • Proven experience designing scalable, reusable data models in complex environments
  • Strong background with modern data stack tools such as dbt, Redshift, and enterprise BI platforms
  • Experience shaping data architecture and influencing technical direction
  • High ownership mindset with the ability to operate autonomously
  • Strong stakeholder management skills with both technical and non-technical leaders


This is an opportunity to define how data is modeled and operationalized inside a technically ambitious, fast-scaling organization. If you’re excited by building durable systems that leadership relies on to run the business, this role offers significant scope and impact.