Data Engineering Manager Jobs in Ohio
Data Engineering Manager jobs in Ohio are in active demand, concentrated in financial services, healthcare, retail technology, and manufacturing analytics, with openings at every level from team lead through senior director of data engineering. Columbus, Cleveland, and Cincinnati account for the largest share of hiring, anchored by employers such as JPMorgan Chase, Nationwide Insurance, and Kroger Technology. The most sought-after specialties in Ohio are cloud data platform management, real-time pipeline architecture, and analytics engineering leadership. Find a role that fits below and apply directly.
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As an Engineering Lead at JPMorganChase within Employee Platforms, you are an integral part of an agile team responsible for the hands-on delivery and architecture of secure, stable, scalable data engineering solutions on AWS and Databricks. As a core technical contributor, you own technical direction, develop critical components, drive production reliability, and deliver trusted technology products in support of the firm's business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others.
- Architects and delivers data platforms and pipelines across ingestion, transformation, curation, and consumption on AWS and Databricks using Spark and Delta.
- Builds reusable Python and/or Scala libraries, frameworks, pipeline templates, and automation.
- Owns operational excellence, including data quality, monitoring and alerting, SLAs, incident triage and RCA, and performance and cost optimization.
- Drives SDLC standards covering CI/CD, testing strategy, secure coding, resiliency patterns, and design and code reviews.
- Leads and mentors engineers and partners with product, analytics, and security teams to deliver roadmaps and execution.
- Uses enterprise-authorized GenAI developer tools such as GitHub Copilot and Claude Code to accelerate refactoring, test generation, and documentation with strong validation and controls.
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Formal training or certification on data engineering concepts with architecture and production ownership concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong Python coding skills, and deep experience with Databricks and Spark.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Strong experience with AWS and modern lakehouse and data platform patterns.
- Proven technical leadership through architecture decisions, mentoring, and cross-team influence.
- AWS certification and/or Databricks certification.
- Experience with streaming architectures, including event-driven ingestion, near-real-time processing, and operational support for monitoring, alerting, and recovery.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
As an Engineering Lead at JPMorganChase within Employee Platforms, you are an integral part of an agile team responsible for the hands-on delivery and architecture of secure, stable, scalable data engineering solutions on AWS and Databricks. As a core technical contributor, you own technical direction, develop critical components, drive production reliability, and deliver trusted technology products in support of the firm's business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Develops secure and high-quality production code, and reviews and debugs code written by others.
- Architects and delivers data platforms and pipelines across ingestion, transformation, curation, and consumption on AWS and Databricks using Spark and Delta.
- Builds reusable Python and/or Scala libraries, frameworks, pipeline templates, and automation.
- Owns operational excellence, including data quality, monitoring and alerting, SLAs, incident triage and RCA, and performance and cost optimization.
- Drives SDLC standards covering CI/CD, testing strategy, secure coding, resiliency patterns, and design and code reviews.
- Leads and mentors engineers and partners with product, analytics, and security teams to deliver roadmaps and execution.
- Uses enterprise-authorized GenAI developer tools such as GitHub Copilot and Claude Code to accelerate refactoring, test generation, and documentation with strong validation and controls.
- 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.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Formal training or certification on data engineering concepts with architecture and production ownership concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong Python coding skills, and deep experience with Databricks and Spark.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Strong experience with AWS and modern lakehouse and data platform patterns.
- Proven technical leadership through architecture decisions, mentoring, and cross-team influence.
- AWS certification and/or Databricks certification.
- Experience with streaming architectures, including event-driven ingestion, near-real-time processing, and operational support for monitoring, alerting, and recovery.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 42 Data Engineering Manager Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Engineering Manager JobsData Engineering Manager Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Engineering Manager Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
- Amazon17
- Meta3
- Safelite2
- JPMorganChase2
- FMHC1
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Consulting & Professional Services
- Healthcare & Medical Services
What Ohio Employers Look For
The qualifications that appear most often in data engineering manager jobs across Ohio.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Five or more years of data engineering experience, including at least two in a lead or management role
- Hands-on expertise with cloud data platforms such as AWS, Azure, or Google Cloud
- Proven ability to design and maintain large-scale ETL and ELT pipelines in production environments
- Experience managing and mentoring cross-functional data engineering teams in agile settings
- Proficiency with modern data stack tools including dbt, Spark, Airflow, Kafka, or Databricks
Data Engineering Manager Jobs in Ohio: Frequently Asked Questions
How do you become a data engineering manager in Ohio?
The typical path into a data engineering manager role in Ohio starts with several years as a data or software engineer, followed by a progression into senior individual contributor work and then team leadership. Ohio does not require a state-issued license for this role. Most hiring managers in Columbus, Cleveland, and Cincinnati expect a bachelor's degree in computer science or a related field, strong cloud and pipeline credentials, and demonstrated experience leading technical teams on enterprise data projects.
Which companies hire data engineering managers in Ohio?
Employers hiring data engineering managers in Ohio right now include Amazon, Meta, and Safelite, based on current listings on Migrate Mate as of September 2026. Ohio's concentration of Fortune 500 financial services, insurance, and retail technology headquarters makes it one of the more consistent markets in the Midwest for senior data engineering leadership roles.
Which Ohio cities have the most data engineering manager jobs?
Columbus, Cincinnati, and Hilliard have the most data engineering manager openings in Ohio. Columbus drives the largest share, fueled by its dense cluster of insurance, fintech, and retail technology headquarters, while Cleveland's healthcare and banking sector and Cincinnati's consumer goods and logistics employers generate steady demand for data engineering leadership across the state.
Are there remote data engineering manager jobs in Ohio?
Yes, and more than most fields. About 29% of data engineering manager openings tied to Ohio are remote or hybrid as of September 2026, reflecting how thoroughly this role operates in cloud and distributed tool environments. The most remote-friendly portions of the work involve pipeline design, architecture reviews, and team standups, while on-site presence is most common during stakeholder planning cycles or major platform migrations.
How can I get hired as a data engineering manager in Ohio with little or no experience?
The most realistic entry path is moving into a senior data engineer or tech lead role first, then stepping into management once you have demonstrated ownership of a pipeline or platform initiative. Large Ohio employers such as Nationwide, Progressive, and Kroger Technology run structured technical development programs and often promote from within. Building a portfolio of end-to-end data projects, earning a cloud certification such as AWS Certified Data Engineer or Google Professional Data Engineer, and targeting associate data engineering roles at Ohio-based mid-size companies are the most concrete steps toward the manager track.
Where can I find and apply to data engineering manager jobs in Ohio?
You can find and apply to data engineering manager jobs in Ohio on Migrate Mate, which lists current openings across Columbus, Cleveland, Cincinnati, and elsewhere in the state. Find roles that fit your experience and apply directly from the listing.
See All 42 Data Engineering Manager Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Engineering Manager Jobs