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Data Path Jobs in Ohio (NOW HIRING)

ComResource

Data Platform Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

ComResource is looking for a Data Platform Engineer. Responsibilities: * Design and implement ... Build and maintain the promotion path where ad-hoc Dataiku prototypes are hardened and, where ...

The Scotts Company LLC

Data Steward

Marysville, OH · On-site

$87K - $103K/yr

As a Senior Analyst in Data Governance, you will play a crucial role in supporting the ... Grow through exploration and experiences rather than a predictable linear path. * We value the ...

Kroger Tech & Digital

Sr. Data Insights Analyst

Blue Ash, OH · On-site

$82K - $104K/yr

Whether you're seeking a part-time position or a new career path, we've got a fresh opportunity for ... Minimum - Bachelor's Degree data analytics, statistics, marketing, related field or equivalent ...

Path Robotics

Senior Software Engineer

Columbus, OH

$118K - $156K/yr

Build the Path Forward At Path Robotics, we're attacking a trillion dollar opportunity - doing ... You'll work closely with our research teams and our data platform team - leveraging their data and ...

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Showing results 21-40

All JobsData Path JobsData Path Jobs in Ohio

Data Path information

See Ohio salary details

$20.1K

$97.6K

$160.9K

How much do data path jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data path in Ohio is $97,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,049.00 and $135,290.00 per year, depending on experience, location, and employer.

What is a data path?

A Data Path is a critical component within a computer's processor that handles the flow and processing of data. It typically consists of elements like registers, arithmetic logic units (ALUs), and buses, which work together to execute instructions and move data within the CPU. Data Paths are designed to perform operations such as addition, subtraction, and data transfer efficiently, impacting the overall speed and capability of a processor. Understanding Data Paths is essential for those involved in computer architecture and hardware design.

What are the key skills and qualifications needed to thrive as a data path engineer?

To thrive as a Data Path Engineer, you need a solid background in computer engineering, digital design, and experience with hardware description languages like Verilog or VHDL, typically supported by a relevant engineering degree. Familiarity with simulation tools (e.g., ModelSim, Synopsys), FPGA/ASIC design flows, and version control systems is essential. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help you excel in cross-functional engineering teams. These skills and qualities ensure accurate, efficient data path designs that meet performance requirements within complex hardware systems.

What are some common challenges faced in a data path engineering role, and how can applicants prepare for them?

Data Path engineers often encounter challenges related to optimizing data throughput, minimizing latency, and ensuring data integrity across complex hardware and software systems. Applicants should be prepared to troubleshoot performance bottlenecks, work closely with cross-functional teams like software, hardware, and network engineers, and stay updated on evolving protocols and standards. Developing strong problem-solving skills, familiarity with hardware description languages, and experience with system-level debugging tools can help you tackle these challenges effectively.

What is the difference between Data Path vs Data Analyst?

AspectData PathData Analyst
Required CredentialsTypically a degree in data science, computer science, or related fieldsUsually a degree in statistics, mathematics, or related areas
Work EnvironmentData engineering teams, IT departments, or data infrastructure rolesBusiness units, marketing, finance, or operations teams
Industry UsageUsed in organizations focusing on data infrastructure and pipelinesCommon in business analysis, reporting, and decision-making roles

Data Path professionals focus on building and maintaining data infrastructure, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills but serve different functions within data management and analysis.

What are popular job titles related to Data Path jobs in Ohio?

For Data Path jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Path jobs in Ohio look for?

The top searched job categories for Data Path jobs in Ohio are:

What cities in Ohio are hiring for Data Path jobs?

Cities in Ohio with the most Data Path job openings:

Data Path jobs near you
Infographic showing various Data Path job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $97,594 per year, or $46.9 per hour.

Data Platform Engineer

ComResource

Cincinnati, OH • On-site

$109K - $131K/yr

Full-time

Posted 24 days ago

Job description

ComResource is looking for a Data Platform Engineer.

Responsibilities:

  • Design and implement Dataiku Project Standards to act as a production readiness linter, ensuring all projects meet naming, metadata, and security requirements.
  • Develop custom Dataiku plugins and API integrations to automate Tier 1 and Tier 2 data quality checks, blocking promotion to production if standards are not met.
  • Partner with Information Security to integrate tokenization and field-level encryption directly into Dataiku visual recipes and Python code-based workflows.
  • Build and maintain the promotion path where ad-hoc Dataiku prototypes are hardened and, where necessary, refactored into DBT for long-term enterprise use.
  • Integrate Dataiku monitoring with ServiceNow to automate incident creation for pipeline failures or data quality drift.
  • Serve as the technical steward for non-technical business units, providing approved templates and secure data products.

Essentials:

  • Hands-on experience with Dataiku DSS.
  • Proficiency in Python and SQL.
  • Experience working in Linux/Unix environments.
  • Experience building governance-as-code layers and automated data quality frameworks.
  • Ability to bridge the gap between rapid prototyping and production-grade engineering.

Desired:

  • Experience with Snowflake, Terraform, GitHub, and REST APIs.

Req ID: AM127734720