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Senior Data Engineer Manager Jobs in Ohio (NOW HIRING)

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Responsibilities Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build ... Implement and enforce data governance standards, lineage, and metadata management * Ensure ...

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build, and scale modern ... Implement and enforce data governance standards, lineage, and metadata management * Ensure ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Greetings, Job Title- Data Engineer ( Netezza & OBIEE ) Location- Columbus OH Duration -6 months with visibility for extension Need a Sr.Data Engineer of whom has strong experience in OBIEE/ Netezza ...

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

Responsibilities Advanced Drainage Systems (ADS) is seeking an Sr. Data Engineer to design, build ... Implement and enforce data governance standards, lineage, and metadata management * Ensure ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

A Brief Overview The Senior Data Engineer at Safelite is responsible for implementing and ... Experience managing and mentoring data teams. (Medium proficiency) * Experience architecting ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

A Brief Overview The Senior Data Engineer at Safelite is responsible for implementing and ... Experience managing and mentoring data teams. (Medium proficiency) * Experience architecting ...

Senior Data Engineer

Cincinnati, OH · On-site

$103K - $140K/yr

AMEND Consulting is a management consulting firm based in Cincinnati, OH, focused on operations, analytics, and technology. They are seeking a Senior Data Engineer to design cutting edge analytic ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Senior Data Engineer to join our Information Technology team. This position will work ...

Sr. Data Engineer

Columbus, OH · On-site

$110 - $160/hr

Perform feature engineering and data preparation for machine learning models * Deploy ML models and ... Track experiments, manage models, and support deployment using MLflow * Define and execute model ...

H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status) As a Senior Data Engineer ... Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business ...

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

AMEND is a management consulting firm based in Cincinnati, OH with areas of focus in operations ... Overview: The Senior Data Engineer consultant role is an incredibly exciting position in the ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

AMEND is a management consulting firm based in Cincinnati, OH with areas of focus in operations ... Overview: The Senior Data Engineer consultant role is an incredibly exciting position in the ...

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers ... Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers ... Manage and troubleshoot existing data pipelines, jobs, connectors, data shares, SFTP connections ...

Senior Data Engineer

Cincinnati, OH · On-site +1

$101K - $138K/yr

... based Senior Data Engineerto join our Information Technology team. This position will work on a ... Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load ...

Senior Data Engineer

Columbus, OH · On-site

$50 - $55/hr

Pay Range: $50hr - $55hr Requirement/Must Have: * 7+ years of experience in data engineering. * Strong verbal and written communication skills. * Proactive mindset to effectively probe and gather ...

As a Data Engineer Sr within PNC's Asset Management organization, you will be based in Pittsburgh, PA; Birmingham, AL; Cleveland, OH; Dallas, TX. As a Senior Data Engineer, you will partner closely ...

Showing results 21-40

Senior Data Engineer Manager information

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.

What is the difference between Senior Data Engineer Manager vs Data Engineer?

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are the most commonly searched types of Senior Data Engineer jobs in Ohio?

The most popular types of Senior Data Engineer jobs in Ohio are:

What job categories do people searching Senior Data Engineer Manager jobs in Ohio look for?

The top searched job categories for Senior Data Engineer Manager jobs in Ohio are:

What cities in Ohio are hiring for Senior Data Engineer Manager jobs?

Cities in Ohio with the most Senior Data Engineer Manager job openings:

Infographic showing various Senior Data Engineer Manager job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 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 85 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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