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Director Data Engineering Jobs in Ohio (NOW HIRING)

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Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Provides architectural guidance to data engineers through code, patterns, design reviews, and collaboration, without a direct reporting relationship. Education and ExperienceRequired * Bachelor ...

84.51°

Director Data Science (P2415)

Cincinnati, OH · On-site

DIRECTOR, DATA SCIENCE - SUPPLY CHAIN, OPERATIONS, REPLENISHMENT Cincinnati, OH Chicago, IL SUMMARY ... and Engineering community to develop the best solutions for our stakeholders within our supply ...

Zer04 Consulting LLC

Lead Data Engineer

Cincinnati, OH

$109K - $131K/yr

The Opportunity Our client is looking for a sharp, hands-on data engineering leader to own and ... direct hire role with an organization that has real infrastructure in place and the appetite to ...

United IT

Data Engineer IV

Cincinnati, OH · On-site

$109K - $132K/yr

Hands-on role with high visibility and direct impact on enterprise ML initiatives. * A great opportunity for early-career professionals eager to grow in the machine learning and data engineering ...

DPDHL

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

Data Engineering * Use of azure data factory especially with metadata driven pipelines. * Strong ... Able to direct developers on necessary test scenarios if plans are lacking. * Able to execute data ...

DHL

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

Data Engineering * Use of azure data factory especially with metadata driven pipelines. * Strong ... Able to direct developers on necessary test scenarios if plans are lacking. * Able to execute data ...

Pwc

Data Engineer - Senior Manager

Cleveland, OH · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Senneca Holdings

Data Engineer

Springdale, OH

$110K - $132K/yr

Reporting to the Director of Data Architecture, you will work across the full data stack-from ... engineering or similar role Proficiency in Snowflake (or similar), SQL, and performance ...

Senneca Holdings

Data Engineer

Springdale, OH · On-site

$110K - $132K/yr

Reporting to the Director of Data Architecture, you will work across the full data stack-from ... engineering or similar role Proficiency in Snowflake (or similar), SQL, and performance ...

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All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Ohio

Director Data Engineering information

See Ohio salary details

$69.4K

$185.1K

$241.5K

How much do director data engineering jobs pay per year?

As of Jun 16, 2026, the average yearly pay for director data engineering in Ohio is $185,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $240,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Director of Data Engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a Director of Data Engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

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

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

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 Director Data Engineering jobs in Ohio? For Director Data Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Director Data Engineering jobs in Ohio look for? The top searched job categories for Director Data Engineering jobs in Ohio are:
What cities in Ohio are hiring for Director Data Engineering jobs? Cities in Ohio with the most Director Data Engineering job openings:
Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Ohio as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $185,109 per year, or $89 per hour.
Senior Director, Data Analytics & AI Engineering

Senior Director, Data Analytics & AI Engineering

ComResource

Columbus, OH

Full-time

Posted 4 days ago

Job description

ComResource is looking for a Senior Director, Data Analytics & AI Engineering.

Responsibilities:

Strategy, Planning, and Portfolio Leadership

  • Lead execution of the data, analytics, and AI engineering strategy, translating organizational priorities and technology direction into operating plans, investment priorities, and measurable outcomes.
  • Direct long-range planning, architecture, and resource allocation for enterprise data engineering, data science, and governance capabilities to ensure scalable, secure, and high-performing platforms.
  • Develop annual business plans, operating objectives, and portfolio priorities aligned to long-term functional strategy, enterprise business needs, and measurable performance expectations.

Operating Model, Team Leadership, and Delivery Execution

  • Lead the function through subordinate managers and senior leaders across data engineering, data science, and data governance, with accountability for team performance, staffing approaches, operating discipline, and coordinated execution across multiple teams.
  • Sponsor modernization of the data and AI technology landscape and establish operating standards, engineering practices, and support models that strengthen reliability, scalability, and execution consistency.
  • Ensure data and AI solutions are implemented, supported, monitored, and continuously improved in ways that enable durable adoption, operational performance, and enterprise value realization.

Enterprise Partnership and Solution Delivery

  • Partner with technology delivery, data and analytics, security, digital, and operational leaders to align priorities, implementation sequencing, platform readiness, and delivery expectations.
  • Partner with business, clinical, and operational stakeholders to define desired outcomes, shape solution priorities, and operationalize data and AI capabilities that improve decision-making, workflows, and performance.
  • Shape executable roadmaps and guide governance and investment decisions in partnership with enterprise strategy, architecture, finance, and operational leadership.

Governance, Data Trust, and Responsible Use

  • Ensure strong data quality, integrity, reliability, and stewardship practices across engineering efforts in partnership with governance and platform teams.
  • Partner with cybersecurity, privacy, and compliance leaders to embed security, regulatory, and responsible use requirements into data, analytics, and AI solutions.
  • Support enterprise governance, prioritization, and decision forums that promote disciplined use of data assets, clear standards, and consistent execution across the portfolio.

Capability Development and Executive Partnership

  • Strengthen organizational capability by developing leadership depth, technical expertise, and data and analytics literacy across teams and stakeholder groups.
  • Serve as a trusted partner to senior leaders, providing clear insight into portfolio priorities, delivery progress, risks, and opportunities to support informed enterprise decision-making.

Essentials:

  • Master's degree in Computer and Information Science, Analytics, Data Science, or a related data field, or equivalent experience with a quantitative mindset.
  • Strong knowledge of the requirements, risks, and opportunities around deploying data science, ML, and AI at scale.
  • Strong knowledge and experience in transforming technical landscapes to adapt to business needs and seize the value creation potential of data platforms.
  • Proven experience leading transformational change.
  • Excellent leadership and communication skills with proficiency across hierarchy and function.

Desired:

  • Prior experience with data platform modernization and cloud enablement.

Req ID: RB65119363