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Director Data Engineering Jobs in Ohio (NOW HIRING)

... direct people leadership responsibilities, including coaching, mentorship, and performance management Position Responsibilities: * Manages a small team of data scientists and data engineers to ...

Develop and maintain the product roadmap for Data Products, partnering with the Director of Product to ensure alignment with company strategy, customer needs, market trends, and engineering capacity.

Develop and maintain the product roadmap for Data Products, partnering with the Director of Product to ensure alignment with company strategy, customer needs, market trends, and engineering capacity.

Strong understanding of manufacturing, engineering, and operational data flows * Proven ability to influence cross-functional stakeholders without direct authority The salary range for this position ...

Strong understanding of manufacturing, engineering, and operational data flows * Proven ability to influence cross-functional stakeholders without direct authority The salary range for this position ...

Strong understanding of manufacturing, engineering, and operational data flows * Proven ability to influence cross-functional stakeholders without direct authority The salary range for this position ...

We're looking for an Engineering Director who expects more from their career. This role is a chance ... Bring our leading customer data to life and make a real impact through engineering excellence. What ...

OH ยท On-site

We're looking for an Engineering Director who expects more from their career. This role is a chance ... Bring our leading customer data to life and make a real impact through engineering excellence. What ...

Project - Data Engineer II

Cleveland, OH ยท On-site

$111K - $133K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... These solutions are powered by engineering for business advantage, transforming mission-critical ...

Project - Data Engineer II

Cincinnati, OH ยท On-site

$109K - $131K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... These solutions are powered by engineering for business advantage, transforming mission-critical ...

Showing results 41-60

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 Aug 7, 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 as a director of data engineering?

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 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:
Infographic showing various Director Data Engineering job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $185,109 per year, or $89 per hour.

Sourcing - Director, Data Science: Data Science Tools

Liberty Information Technology Limited

Columbus, OH โ€ข On-site, Remote

Full-time

Re-posted 23 days ago


Job description

Description

The Data Science Infrastructureย organization within USRM is hiring a Senior Technical Professional, Data Scientistย to join the Data Science Toolsย team. This role will focus on improving the end-to-end modeling workflow for USRM Data Science by building internal tools, pipelines, and applications that streamline model development, evaluation, deployment, and iteration. The ideal candidate is highly technical, proactive, and motivated by building systems that help other data scientists work more efficiently.

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **

Responsibilities:

  • Design and build internal tools, pipelines, and applications that improve model development, evaluation, and deployment
  • Own strategy and roadmaps for improving data science workflows and tooling across USRM
  • Design, build, and maintain Python packages used across the organization
  • Evaluate and implement AI agent capabilities in tooling using approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks
  • Work with workflow and modeling tools such as Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, and LightGBM, as well as Python development tools such as Pydantic, FastAPI, uv, ruff, and pytest
  • Promote MLOps and AI agent best practices in collaboration with groups such as Enterprise Data & Data Science
  • Stay current on developments in open-source data science frameworks, MLOps, and agentic coding practices
  • Help shape the direction of the Tools team and contribute to a culture of ownership, collaboration, and continuous improvement

The ideal candidate will have:

  • Professional experience building and maintaining Python-based data science or Machine Learning tooling used by multiple end users or teams
  • Worked with any of the following in a professional setting: Git, Bash/shell scripting, uv, pre-commit, ruff, pytest, or Pydantic
  • Built, deployed, or maintained workflows or pipelines using any of the following: Airflow, Luigi, Celery, Databricks, or MLflow
  • Implemented or supported AI/LLM-based tooling using frameworks such as PydanticAI, LangChain, MCP, or RAG
  • Developed, reviewed, or maintained internal Python packages, APIs, or data science applications using tools such as FastAPI, Streamlit, Dash, NiceGUI, or Plotly
  • Applied agentic AI techniques in day-to-day development and incorporate AI capabilities directly into tools and applications where they create meaningful value for data scientists
Qualifications
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Ability to establish and build relationships within and outside the organization.
  • Ability to give effective training and presentations to management and other groups.
  • Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
  • Broad knowledge of business drivers and market context.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum ofย  6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum ofย  8 years of relevant experience.

Employees may apply for a new role after completing 12 months of employment in their current position.

Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines.ย  For country-specific details, please consult your local recruiting / HR team.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/BenefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

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Employment Type: FULL_TIME