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Data Engineering Jobs in Ohio (NOW HIRING)

E-Solutions

Data Engineering Pipeline

Columbus, OH · On-site

$107K - $128.50K/yr

Data Engineering Pipeline - 10+ Years experience (Databricks, AWS, PySpark) Head Count : Columbus OH 43240 Start Date : October 15, 2025 Skills: Data Engineering pipeline and refined processing for ...

FirstEnergy

Supervisor Data Engineering

Akron, OH · Remote

Ensuring adherence to data engineering standards and governance, as well as IT change management and related governance processes * Supporting numerous projects and activities simultaneously ...

FirstEnergy

Supervisor Data Engineering

Akron, OH · Remote

Ensuring adherence to data engineering standards and governance, as well as IT change management and related governance processes * Supporting numerous projects and activities simultaneously ...

RIT Solutions

Data engineering lead

Columbus, OH · On-site

Data Engineering Lead Location: Columbus, Ohio - need local Onsite: 4 days a week Contract: 6 months to perm Interview process: 1 video interview then onsite panel interview Leads the data nimble ...

LTM

Associate Principal - Data Engineering

Cincinnati, OH · On-site

$109.90K - $132K/yr

Role description JD Developer Senior Developer PySpark Python Data Engineering Primary skills are pysparkpython Developer Location India Global Delivery Center Regional Hub Function Development ...

LTM

Senior Specialist - Data Engineering

Cincinnati, OH · On-site

... data engineering teams to ensure optimized data models and query performance • Define and enforce data governance, access control, and security policies within Looker • Optimize performance of ...

Cintas

IT Data Engineering Lead

Mason, OH · On-site

Specifically, data engineer lead will work to design and implement data acquisition strategies to ingest data from SAP ERP Systems (ECC, CRM, EWM, EM BW, Hybris) into Data Lake/Data Warehouse using ...

Cintas

IT Data Engineering Lead

Mason, OH · Hybrid

Specifically, data engineer lead will work to design and implement data acquisition strategies to ingest data from SAP ERP Systems (ECC, CRM, EWM, EM BW, Hybris) into Data Lake/Data Warehouse using ...

CoverMyMeds

Data Engineer

Columbus, OH · On-site +1

$105.50K - $175.90K/yr

Specialist, Data Engineering McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make ...

Chipotle

Lead Engineer, Data Engineering

Columbus, OH

$116K - $162.50K/yr

Responsibilities include building data engineering solutions and processes to enable analytics, business intelligence, MDM and mobility. This role will be responsible for designing new data pipelines ...

RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards. * Evaluate the current integration landscape, including manual feeds, direct SQL access, and ...

RH Aero Systems

Data Engineer

Mason, OH · On-site

$107.70K - $129.30K/yr

Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards. * Evaluate the current integration landscape, including manual feeds, direct SQL access, and ...

AceStack LLC

GCP Data Engineer

Dublin, OH · Remote

$108.10K - $129.80K/yr

Dublin OH (Remote) Duration: 6 months Strong data engineering technical acumen to understand current solutions and enhance per business requirements Expertise in Data Engineering, transformations in ...

RHINESTAHL CORPORATION

Data Engineer

Mason, OH

$107.70K - $129.30K/yr

Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards. * Evaluate the current integration landscape, including manual feeds, direct SQL access, and ...

McKesson Corporation

Data Engineer

Columbus, OH · On-site

$110.60K - $132.80K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

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Data Engineering information

See Ohio salary details

$43.7K

$156.9K

$231.5K

How much do data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for data engineering in Ohio is $156,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,600.00 per year, depending on experience, location, and employer.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.
More about Data Engineering jobs
What are the most commonly searched types of Data Engineering jobs in Ohio? The most popular types of Data Engineering jobs in Ohio are:
What are popular job titles related to Data Engineering jobs in Ohio? For Data Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Ohio look for? The top searched job categories for Data Engineering jobs in Ohio are:
What cities in Ohio are hiring for Data Engineering jobs? Cities in Ohio with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Ohio as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $156,882 per year, or $75.4 per hour.

Data Engineer - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH • On-site

$110.60K - $132.80K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Client - Lululemon
Data Engineer - Data Engineering
Location: Columbus, Ohio (On-site / Hybrid)
Role Type: Individual Contributor
Role Summary We are seeking a skilled Data Engineer with 5 years of hands-on experience building and maintaining robust data pipelines, data lakes, and analytical platforms. Based in Ohio, this is an individual contributor role with direct engagement with business stakeholders across lululemon's Ohio-based operations. The successful candidate will own end-to-end data engineering deliverables independently, translating business requirements into scalable, production-grade data solutions that power analytics and AI/ML workloads.
Key Responsibilities
  • Design, build, and maintain scalable ETL/ELT pipelines using Python, Apache Spark, and Azure Data Factory to ingest data from diverse retail and operational sources into a centralised data lake (Microsoft Fabric / OneLake)
  • Engage directly with Ohio-based business teams (supply chain, store operations, finance, and merchandising) to gather data requirements, understand domain logic, and translate business needs into well-defined data models and pipeline specifications
  • Independently own the full data engineering lifecycle for assigned domains - from requirements gathering and data modelling through to pipeline deployment, monitoring, and ongoing optimisation
  • Build and manage Bronze, Silver, and Gold data layers in the lakehouse architecture, applying data quality checks, schema validation, and partitioning strategies to ensure reliable, performant datasets for downstream analytics and ML teams
  • Participate actively in agile ceremonies (sprint planning, stand-ups, retrospectives), self-manage delivery against sprint commitments, and proactively surface risks or blockers without requiring escalation
  • Implement and enforce data quality frameworks, lineage tracking, and cataloguing standards using Microsoft Purview, ensuring datasets meet governance and compliance requirements (GDPR, CCPA)
  • Support and contribute to Global Fulfillment and supply chain data initiatives, acting as the primary data engineering liaison for Ohio-based operational teams and ensuring timely delivery of data products that enable real-time decision-making
  • Stay current with emerging data engineering tools, patterns (e.g. data mesh, streaming architectures), and Microsoft Fabric capabilities; apply relevant advancements to continuously improve the data platform
    Qualifications
  • 5+ years of hands-on experience as a Data Engineer, with a proven track record of independently delivering production-grade data pipelines and data products in a cloud-based environment
  • Proficiency in Python and SQL for data transformation, with hands-on experience using Apache Spark (PySpark) for large-scale batch and streaming data processing
  • Solid understanding of data modelling concepts (dimensional modelling, star/snowflake schema, data vault) and experience building lakehouse architectures with Delta Lake or Apache Iceberg
  • Demonstrated ability to work directly with non-technical business stakeholders - gathering requirements, explaining data concepts in plain language, and iterating quickly on feedback to deliver business value
  • Experience with version control (Git), CI/CD pipelines, and DataOps practices - including automated testing of data pipelines and Infrastructure-as-Code (Terraform or Bicep)
  • Familiarity with data governance frameworks, data cataloguing (Microsoft Purview or Apache Atlas), and implementing data quality rules and observability monitoring within pipelines
  • Strong analytical mindset, attention to detail, and self-starter attitude - comfortable driving work forward independently in a fast-paced retail technology environment with minimal day-to-day supervision

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