Senior Software Development Engineer Jobs in Ohio
Senior Software Development Engineer jobs in Ohio are in strong demand, with active hiring concentrated in enterprise technology, financial services, healthcare IT, and defense contracting across the state at every level from mid-level engineer through principal and staff. Columbus, Cleveland, and Cincinnati are the primary hiring metros, anchored by major employers such as Nationwide, JPMorgan Chase, and Northrop Grumman, all of which maintain significant Ohio engineering operations. Cloud architecture, distributed systems, and full-stack platform development are the most sought-after specialties across Ohio listings. Find a role that fits below and apply directly.
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Showing 5 of 71+ Senior Software Development Engineer jobs
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Employee and Experience Technology 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. In this role, you will help drive our modernization to a Databricks-on-AWS lakehouse, building all new data pipelines using Apache Spark (PySpark) on Databricks.
Job Responsibilities
Design, build, and maintain new data pipelines on Databricks using PySpark, developing secure, high-quality production code and reviewing and debugging processes implemented by others.
Optimize and tune PySpark jobs and Databricks clusters for performance, scalability, and cost efficiency (partitioning, caching, and resource management).
Design and implement scalable data frameworks to manage end-to-end Databricks pipelines for workforce data analytics, applying medallion (bronze/silver/gold) lakehouse patterns.
Implement data quality checks and validation processes — using Delta Lake and Delta Live Tables expectations — to ensure accuracy and reliability of data.
Implement robust monitoring and alerting to proactively address data ingestion issues, leveraging Databricks and AWS CloudWatch to optimize performance and throughput.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability, using Databricks Workflows and AWS-native automation.
Leverage AI and Agentic AI solutions to accelerate data pipeline development, and adopt AI-assisted engineering tools (e.g., Claude, GitHub Copilot) to improve developer productivity and code quality.
Provision and deliver curated, reliable data sets to our BI partners (who work in Sigma, Tableau, and Alteryx), enabling their reporting and analytics use cases.
Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
Contribute to software engineering communities of practice that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities & Skills
Formal training or certification in software engineering concepts with 3+ years of applied experience in data engineering, including design, application development, testing, and operational stability.
Advanced, hands-on expertise in Apache Spark (PySpark) for large-scale distributed data processing, with strong proficiency building and operating production pipelines on Databricks (Delta Lake and lakehouse patterns).
Strong expertise across the AWS data ecosystem, including S3, EMR, Glue, Lambda, and Athena, along with AWS storage and compute services; experience with data formats such as Parquet and Iceberg.
Strong programming skills in Python for data processing and application development (Java or Scala a plus).
Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security.
In-depth knowledge of the financial services industry and their IT systems.
Solid SQL and data modeling skills for efficient data management and retrieval (experience with relational databases such as Oracle a plus).
Experience with scheduling tools like Airflow and Autosys to automate and manage job scheduling for efficient workflow execution.
Preferred Qualifications, Capabilities & Skills
Databricks certifications (e.g., Databricks Certified Data Engineer Associate/Professional).
Familiarity with Generative AI and Agentic AI frameworks, including experience with AI coding assistants such as Claude and GitHub Copilot in an engineering workflow.
Deeper expertise in the AWS cloud platform and its broader service catalog.
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.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Employee and Experience Technology 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. In this role, you will help drive our modernization to a Databricks-on-AWS lakehouse, building all new data pipelines using Apache Spark (PySpark) on Databricks.
Job Responsibilities
Design, build, and maintain new data pipelines on Databricks using PySpark, developing secure, high-quality production code and reviewing and debugging processes implemented by others.
Optimize and tune PySpark jobs and Databricks clusters for performance, scalability, and cost efficiency (partitioning, caching, and resource management).
Design and implement scalable data frameworks to manage end-to-end Databricks pipelines for workforce data analytics, applying medallion (bronze/silver/gold) lakehouse patterns.
Implement data quality checks and validation processes — using Delta Lake and Delta Live Tables expectations — to ensure accuracy and reliability of data.
Implement robust monitoring and alerting to proactively address data ingestion issues, leveraging Databricks and AWS CloudWatch to optimize performance and throughput.
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability, using Databricks Workflows and AWS-native automation.
Leverage AI and Agentic AI solutions to accelerate data pipeline development, and adopt AI-assisted engineering tools (e.g., Claude, GitHub Copilot) to improve developer productivity and code quality.
Provision and deliver curated, reliable data sets to our BI partners (who work in Sigma, Tableau, and Alteryx), enabling their reporting and analytics use cases.
Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
Contribute to software engineering communities of practice that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities & Skills
Formal training or certification in software engineering concepts with 3+ years of applied experience in data engineering, including design, application development, testing, and operational stability.
Advanced, hands-on expertise in Apache Spark (PySpark) for large-scale distributed data processing, with strong proficiency building and operating production pipelines on Databricks (Delta Lake and lakehouse patterns).
Strong expertise across the AWS data ecosystem, including S3, EMR, Glue, Lambda, and Athena, along with AWS storage and compute services; experience with data formats such as Parquet and Iceberg.
Strong programming skills in Python for data processing and application development (Java or Scala a plus).
Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security.
In-depth knowledge of the financial services industry and their IT systems.
Solid SQL and data modeling skills for efficient data management and retrieval (experience with relational databases such as Oracle a plus).
Experience with scheduling tools like Airflow and Autosys to automate and manage job scheduling for efficient workflow execution.
Preferred Qualifications, Capabilities & Skills
Databricks certifications (e.g., Databricks Certified Data Engineer Associate/Professional).
Familiarity with Generative AI and Agentic AI frameworks, including experience with AI coding assistants such as Claude and GitHub Copilot in an engineering workflow.
Deeper expertise in the AWS cloud platform and its broader service catalog.
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 71 Senior Software Development Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find JobsSenior Software Development Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Senior Software Development Engineer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
- JPMorganChase10
- State of Ohio4
- MTSI3
- Shield AI2
- CVS Health2
Top Industries Hiring
- Insurance
- Technology & Software
- Staffing & Recruiting
- Banking & Financial Services
What Ohio Employers Look For
The qualifications that appear most often in senior software development engineer jobs across Ohio.
- Bachelor's degree in computer science, software engineering, or a closely related field required
- Five or more years of professional software development experience in production environments
- Proficiency in at least one primary language such as Java, Python, C++, or Go
- Demonstrated experience designing and deploying cloud-based systems on AWS, Azure, or GCP
- Strong background in distributed systems, microservices architecture, and API development
- Experience mentoring junior engineers and leading technical design reviews or sprint planning
Senior Software Development Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a senior software development engineer in Ohio?
Senior software development engineers in Ohio are not required to hold a state-issued license, so the path runs through education and experience rather than a licensing board. Most employers expect a bachelor's degree in computer science or a related field, followed by several years of professional development work. Earning vendor certifications in AWS, Azure, or Google Cloud is a concrete way to stand out in Ohio's enterprise and healthcare IT markets.
How much do senior software development engineers make in Ohio?
Senior software development engineers in Ohio earn a median of about $114,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,790 for the lowest 10% to over $168,400 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior software development engineers in Ohio?
Employers hiring senior software development engineers in Ohio right now include JPMorganChase, State of Ohio, and MTSI, based on current listings on Migrate Mate as of September 2026. Ohio's concentration of large financial institutions, integrated health systems, and defense contractors means steady hiring for engineers with enterprise platform and cloud infrastructure experience.
Which Ohio cities have the most senior software development engineer jobs?
Columbus, Dayton, and Cincinnati account for the most senior software development engineer openings in Ohio. Columbus leads because of its dense cluster of financial services headquarters and large health IT employers, while Cleveland and Cincinnati add volume through regional corporate campuses, aerospace and defense contractors, and major hospital systems that maintain substantial in-house engineering teams.
Are there remote senior software development engineer jobs in Ohio?
Yes, and more than most fields. Software development is one of the more remote-compatible disciplines, and about 60% of senior software development engineer openings tied to Ohio are remote or hybrid as of September 2026. Roles focused on cloud infrastructure, platform engineering, and back-end API development tend to carry the most remote flexibility, while positions embedded in regulated industries such as defense or clinical systems often require at least partial on-site presence.
How can I get hired as a senior software development engineer in Ohio with little or no experience?
The most realistic entry path is landing an associate or junior software engineer role and building toward the senior title from within. Large Ohio employers such as Nationwide, Progressive, and Huntington Bancshares run structured new-graduate and rotational programs that place candidates with limited experience into engineering teams. Completing an open-source project portfolio or a cloud certification gives a candidate a concrete credential, and lateral moves from QA engineering, DevOps, or technical support are common stepping stones in Ohio's enterprise and fintech environments.
Where can I find and apply to senior software development engineer jobs in Ohio?
You can find and apply to senior software development engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings updated regularly. Search the listings for roles that match your experience level and specialization, then apply directly to the ones that fit.
See All 71 Senior Software Development Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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