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Manager Data Engineering Jobs in Columbus, OH (NOW HIRING)

Georgia IT, Inc.

Data Engineer- Columbus OH

Columbus, OH · On-site

$110K - $132K/yr

... other data-engineering software development capabilities to contribute to the building of new scientific information management systems supporting scientific database building activities.

Pwc

Data Engineer - Senior Manager

Columbus, 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 ...

The Hartford

GCP Data Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

This is an opportunity to influence the future of enterprise data platforms while expanding your expertise in cloud engineering, metadata management, governance, and AI-enabled development. This role ...

The Hartford

GCP Data Engineer

Columbus, OH · Hybrid

$110K - $132K/yr

This is an opportunity to influence the future of enterprise data platforms while expanding your expertise in cloud engineering, metadata management, governance, and AI-enabled development. This role ...

Softtek

Data Governance Consultant Sr

Delaware, OH · On-site

Collaborate with Data Architects, Data Engineers, Business Analysts, and business stakeholders to embed governance throughout the data lifecycle. Support metadata management, business glossary, data ...

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

... management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks * 7+ years of ...

Huntington

Data Engineer Lead

Columbus, OH · On-site +1

... data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks 7+ years of ...

National Church Residences

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable ... Demonstrates and maintains a positive, professional manner, manages time efficiently and ...

National Church Residences

Azure Data Engineer

Dublin, OH

$110K - $132K/yr

As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable ... Demonstrates and maintains a positive, professional manner, manages time efficiently and ...

Deloitte

Senior Manager Data Lead

Columbus, OH · On-site

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring ...

Vaco by Highspring

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

... Engineering owner, you will play a key role in shaping a scalable and well-designed data ... Demonstrates and maintains a positive, professional manner; manages time efficiently and ...

VPL, Inc

Data Product Manager

Columbus, OH · On-site

As the Product Manager for Data Products, you will be responsible for the strategy, execution, and ... You will partner with customers, internal stakeholders, Data Engineering, and a Power BI Developer ...

Genesis10

Entry Level Data Engineer

Columbus, OH · On-site

$60K/yr

Dev10 Manager to help you navigate corporate culture and support your growth * Comprehensive benefits: health, vision, dental, 401(k), and paid time off Curious if a career in Data Engineering is ...

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Showing results 21-40

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Columbus, OH

Manager Data Engineering information

See Columbus, OH salary details

$29.9K

$93.8K

$166.1K

How much do manager data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager data engineering in Columbus, OH is $93,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $121,200.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

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.

What are the key skills and qualifications needed to thrive as a manager data engineering?

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.

How does a manager 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 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 most commonly searched types of Data Engineering jobs in Columbus, OH?

The most popular types of Data Engineering jobs in Columbus, OH are:

What are popular job titles related to Manager Data Engineering jobs in Columbus, OH?

For Manager Data Engineering jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Columbus, OH look for?

The top searched job categories for Manager Data Engineering jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Manager Data Engineering jobs?

Cities near Columbus, OH with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Columbus, OH as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $93,832 per year, or $45.1 per hour.

Lead Software Engineer - Data Engineering | Data Technology

JPMorgan Chase & Co.

Columbus, OH • On-site

$107K - $129K/yr

Full-time

Medical, Retirement

Posted 11 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks

Job description


This is your chance to change the path of your career and work at one of the world's leading financial institutions.
As a Lead Software Engineer - Data Engineering at JPMorgan Chase within the Consumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities:
  • Design, develop, and optimize large-scale ETL (Extract Transform Load) data pipelines.
  • Build high-quality Python applications using modular code, reusable components, logging, and automated testing.
  • Develop and maintain distributed data processing solutions using PySpark.
  • Large scale end-to-end testing design and validation.
  • Implement and support workflow orchestration using Control-M or Apache Airflow (MWAA).
  • Develop cloud-native solutions leveraging AWS services, including Glue, Athena, Lambda, and CloudWatch.
  • Design and manage modern data lake architectures utilizing Iceberg and/or Delta Lake.
  • Administer and optimize Snowflake environments, including streams, tasks, roles, and warehouses.
  • Participate in code reviews and champion engineering best practices, testing standards, and CI/CD processes.
  • Leverage approved AI-assisted development tools while ensuring secure, responsible, and compliant software delivery.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience with a strong focus on data engineering.
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages - Python (primary) & Java (secondary)
  • Hands-on experience with PySpark or other distributed data processing frameworks.
  • Strong expertise in DBT (Data Build Tool) and modern ETL (Extract Transform Load) development practices.
  • Experience with workflow orchestration platforms such as Control-M or Apache Airflow (MWAA).
  • Expertise with AWS data services, including Glue, Athena, CloudWatch, and Lambda.
  • Knowledge of modern open table formats such as Iceberg and/or Delta Lake.
  • Experience with Snowflake administration and development.
  • Strong SQL skills and experience with modern database technologies.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Preferred qualifications, capabilities, and skills
  • Experience with Kafka, Flink, or other streaming technologies.
  • Familiarity with AI/ML technologies including LLMs, prompt engineering, vector search, and responsible AI practices.
  • Experience using AI-assisted software development tools such as GitHub Copilot, Claude, or similar technologies.
  • Financial services industry experience and understanding of large-scale enterprise data environments.
  • Experience mentoring engineers and leading technical delivery initiatives.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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