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Manager Data Engineering Jobs in Ohio (NOW HIRING)

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud-based data platforms (AWS / Azure / GCP) Implement CI/CD pipelines for data engineering workflows.

Park Place Technologies

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Data Engineer The Data Engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility ...

Smart Data

2245 Data Engineer III

Cincinnati, OH

$110K - $123K/yr

... data management and software engineering technologies into existing data structures. • Develop set processes for data mining, data modeling, and data production. • Create custom software ...

DPDHL

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

... data engineering or equivalent role * Strong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server). * Proven experience in data pipeline development and ...

DHL

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

... data engineering or equivalent role * Strong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server). * Proven experience in data pipeline development and ...

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 ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Pwc

Data Engineer - Senior Manager

Columbus, OH

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Pwc

Data Engineer - Senior Manager

Cincinnati, OH

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Pwc

Data Engineer - Senior Manager

Toledo, OH

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Qode

OH · On-site

$110K - $132K/yr

Key Responsibilities Data Engineering & Development * Design, develop, and maintain scalable data ... Database & Data Management * Write complex SQL queries for data extraction, transformation, and ...

VPL, Inc

Data Product Manager

Westerville, OH

Bridge Backend Architecture & UX: Partner directly with data engineering teams to ensure our ... Product Management Foundations: 1-3 years of professional experience managing data products ...

VPL, Inc

Data Product Manager

Westerville, OH · On-site

Bridge Backend Architecture & UX: Partner directly with data engineering teams to ensure our ... Product Management Foundations: 1-3 years of professional experience managing data products ...

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

Serve as the technical lead on data engineering and analytics initiatives, ensuring alignment with ... Knowledge of data governance, metadata management, and compliance frameworks * Experience with ...

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Showing results 1-20

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Ohio

Manager Data Engineering information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do manager data engineering jobs pay per year?

As of Jul 15, 2026, the average yearly pay for manager data engineering in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

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

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
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 Manager Data Engineering jobs in Ohio? For Manager Data Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Ohio look for? The top searched job categories for Manager Data Engineering jobs in Ohio are:
What cities in Ohio are hiring for Manager Data Engineering jobs? Cities in Ohio with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.
Data Engineer

Data Engineer

CYNET SYSTEMS

Mason, OH • On-site

$52 - $57/hr

Contractor

Re-posted 10 days ago

Job description

Job Overview:
 
Pay Range: $52hr - $57hr
  • Data Engineering Tech Lead (7-10+ Years Experience) Role Overview.
  • We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data engineering solutions across enterprise platforms.
  • The ideal candidate will be responsible for architecting data pipelines, leading engineering teams, collaborating with business and cross-functional IT teams, and delivering high-quality data platforms, analytics, and reporting solutions.
Responsibilities:
  • Data Engineering & Architecture Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
  • Build robust data ingestion frameworks for structured and unstructured data sources.
  • Architect and implement data lakes, data warehouses, and data marts.
  • Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform Development Develop and optimize batch and real-time data processing pipelines.
  • Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, or equivalent Implement data validation, monitoring, and quality frameworks.
  • Enable integration across upstream and downstream systems Database & Data Modeling Design and maintain SQL and NoSQL databases (e.g., MongoDB, relational systems).
  • Develop complex SQL queries, stored procedures, and performance tuning strategies Implement data models (dimensional, star/snowflake schemas).
  • Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud-based data platforms (AWS / Azure / GCP) Implement CI/CD pipelines for data engineering workflows.
  • Ensure availability, scalability, and reliability of data environments Leadership & Technical Mentoring Lead and mentor a team of Data Engineers and Developers Guide best practices, coding standards, and performance optimization Conduct code reviews, design reviews, and technical decision-making.
  • Foster a culture of continuous improvement and innovation.
  • Agile Delivery & Stakeholder Collaboration Work within Scrum/Agile teams, participating in sprint planning, reviews, and retrospectives.
  • Collaborate with Product Owners, Business Analysts, and Architects Work closely with cross-functional IT teams to deliver end-to-end data solutions.
  • Translate business needs into technical data solutions and architecture designs Data Quality, Governance & Compliance Implement frameworks for data quality, validation, and monitoring.
  • Ensure compliance with enterprise data governance and security standards Support regulatory and audit requirements where applicable.
Required Skills and Experience:
  • 7-10+ years of experience in Data Engineering / Data Platforms Strong expertise in: SQL and NoSQL databases (e.g., MongoDB) ETL/ELT pipelines and data integration.
  • Data warehousing and data modeling concepts.
  • Experience with big data and distributed systems (Spark, Hadoop, etc.) Hands-on experience with cloud platforms (AWS/Azure/GCP).
  • Experience with workflow orchestration tools (Airflow, ADF, etc.) Strong knowledge of CI/CD and DevOps for data pipelines.
  • Proven experience in leading and mentoring engineering teams.
Preferred Skills:
  • Experience in Healthcare / Insurance / Data Analytics platforms.
  • Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.).
  • Experience in data governance and data quality frameworks.
  • Familiarity with API integrations and microservices architecture.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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