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Director Data Engineering Jobs in Ohio (NOW HIRING)

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Direct impact on manufacturing optimization, product innovation, and customer insights * Work with ...

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Direct impact on manufacturing optimization, product innovation, and customer insights * Work with ...

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Direct impact on manufacturing optimization, product innovation, and customer insights * Work with ...

Lead Data Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

We are hiring a Lead Databricks Engineer for a direct client contract role to design and build large-scale, production-grade data solutions on Azure Databricks. Type: Contract Required Skills: Azure ...

Senior Data Systems Analyst

Cincinnati, OH

$82K - $104K/yr

Our success is a direct reflection of the talented and diverse people who make a positive ... Partner with engineering and operational teams to prioritize remediation activities. * Track ...

Job Title Director, AI - Cyber Security I About your role: As a Senior Advisor, Software ... You will work across cybersecurity, cloud engineering, data engineering, application development ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Bachelor of Technology in Computer Science and Engineering with 60 months of experience required ... Please send your resume to the Director of Talent Acquisition, 11260 Chester Rd, Suite 405 ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Data Engineer

Columbus, OH

$110K - $132K/yr

Greetings, Job Title- Data Engineer ( Netezza & OBIEE ) Location- Columbus OH Duration -6 months ... Direct:7328373458 Website: www.r3tek.com

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

... directed acyclic graphs (DAGs) for efficient data organization and processing - Supporting the ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

... directed acyclic graphs (DAGs) for efficient data organization and processing - Supporting the ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

... directed acyclic graphs (DAGs) for efficient data organization and processing - Supporting the ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

... directed acyclic graphs (DAGs) for efficient data organization and processing - Supporting the ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

Senior Data Engineer

Blue Ash, OH

$97K - $132K/yr

... direct collaboration with 84.51, where needed. Demonstrate the companys core values of respect ... ASAP Project agile scrum practices, joining a warehouse data engineering team warehouse data domain ...

Showing results 21-40

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 6, 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.

$100K - $136K/yr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 23 hours ago


Advanced Drainage Systems rating

7.0

Company rating: 7.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

45th of 84 rated plastic manufacturers


Job description

Overview

Advanced Drainage Systems is a leading manufacturer of stormwater and onsite septic wastewater solutions, committed to sustainability and innovation. With a vast manufacturing and distribution network, we deliver high-quality products across multiple industries while recycling over half a billion pounds of plastic annually. At ADS, we foster a culture where diverse perspectives drive better ideas, ensuring every employee feels valued, heard, and empowered to make an impact.

Responsibilities

Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build, and scale modern data pipelines and AI-ready data platforms that drive operational excellence, manufacturing insights, and advanced analytics across the enterprise.

This role will be a key contributor to ADS's data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise reporting. The ideal candidate combines strong data engineering fundamentals with experience preparing data for AI use cases such as predictive maintenance, demand forecasting, and process optimization.

Key Responsibilities

Data Engineering & Platform Development

  • Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks)
  • Develop and maintain bronze/silver/gold data layers (medallion architecture) for analytics and AI consumption
  • Integrate data from ERP, manufacturing systems, IoT sensors, and third-party platforms into a unified data environment
  • Ensure high data quality, reliability, and performance across pipelines

AI & Advanced Analytics Enablement

  • Engineer datasets optimized for machine learning and AI models
  • Partner with data scientists and analytics teams to support predictive maintenance, demand forecasting, and anomaly detection use cases
  • Implement data pipelines that support real-time or near-real-time analytics where applicable
  • Enable feature engineering and model-ready datasets

Data Integration & Modernization

  • Support migration from legacy platforms (e.g., SQL Server/SSAS) to modern cloud data platforms
  • Build and maintain integrations using tools such as Informatica, APIs, and streaming frameworks
  • Contribute to architecture patterns that enable scalable and reusable data products

Data Governance, Security & Quality

  • Implement and enforce data governance standards, lineage, and metadata management
  • Ensure compliance with data security and privacy policies
  • Monitor and improve data quality and pipeline performance metrics

Collaboration & Business Alignment

  • Partner with business stakeholders (Manufacturing, Supply Chain, Sales) to understand data needs
  • Work closely with analytics engineers, BI developers, and SMEs to deliver trusted data assets
  • Translate business requirements into scalable data solutions

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 3-7+ years of experience in data engineering or data platform development
  • Strong proficiency in SQL and Python
  • Hands-on experience with cloud data platforms (Snowflake, Azure, or AWS)
  • Experience building ETL/ELT pipelines and data models
  • Familiarity with data warehousing concepts and medallion architecture

Preferred Qualifications

  • Experience supporting AI/ML workflows or data science teams
  • Knowledge of manufacturing, supply chain, or IoT data environments
  • Experience with Informatica, Databricks, or streaming technologies (Kafka/Event Hub)
  • Understanding of data governance frameworks and data quality tools
  • Exposure to Power BI or modern BI tools

Key Competencies

  • Strong problem-solving and analytical thinking
  • Ability to balance speed, quality, and scalability in delivery
  • Excellent communication skills across technical and business audiences
  • Ownership mindset with focus on measurable outcomes and ROI

Why ADS

  • Opportunity to help build a modern, AI-enabled data platform from the ground up
  • Direct impact on manufacturing optimization, product innovation, and customer insights
  • Work with a growing Enterprise Analytics team driving enterprise-wide transformation

Success Metrics (First 12 Months)

  • Delivery of production-ready pipelines supporting key business domains
  • Reduction in data latency and improvement in data quality
  • Enablement of at least 2-3 high-value AI/analytics use cases
  • Contribution to platform modernization milestones

#LI-CH1

#LI-Hybrid

Company Benefits:

Health & Welfare Benefits: Medical and prescription drug plans, telemedicine (with medical plan), High-Deductible Health Plan (HDHP) and Health Savings Account (HSA), dental and vision plans, virtual physical therapy*, an employee assistance program (EAP)*, and voluntary accident, critical illness, and hospital indemnification programs.

 Financial Benefits: Retirement 401k program with company match, an employee stock purchase plan (voluntary), financial wellness planning*, paid parental leave*, flexible spending accounts (FSA) for child care and health care, short-term and long-term disability*, basic life insurance, accidental death and dismemberment (AD&D)*, adoption financial reimbursement*, tuition reimbursement*, voluntary life insurance (for employees, spouses, and children), and voluntary identity theft and fraud protection.

*100% paid by ADS.

Why Join ADS?

Growth Opportunities & Global Presence: With a global network of approximately 70 manufacturing plants and 40 distribution centers, ADS offers extensive opportunities for career growth and development in various locations around the world.

Inclusive and Creative Work Culture: ADS fosters a culture of passion, innovation, and continuous improvement, empowering employees to shape industry-leading solutions. We value diverse perspectives, recognizing that they drive better ideas, processes, and performance. Our workplace is built on respect, inclusivity, and shared responsibility, ensuring every team member feels valued and contributes to our collective success.

Innovative & Sustainability Focused: Advanced Drainage Systems is one of the largest plastic recyclers in North America, ensuring over half a billion pounds of plastic is kept out of landfills every year.

Learn More: https://www.adspipe.com/about-us

EEO Statement

ADS supports an inclusive workplace that values diversity of thought, experience, and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. ADS is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

Employment Type: OTHER

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