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Data Ops Manager Jobs in Springfield, OH (NOW HIRING)

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Program Analyst AFLCMC/RSO - 14.26

Dayton, OH · On-site

... management system. * Review the RSO OPS electronic workflow mailbox, coordinate responses with ... Provide direct support to quickly and accurately turn data into usable and actionable output and ...

Credence

Program Analyst AFLCMC/RSO - 14.26

Dayton, OH · On-site

... management system. * Review the RSO OPS electronic workflow mailbox, coordinate responses with ... Provide direct support to quickly and accurately turn data into usable and actionable output and ...

Starfish

Configuration Manager, Senior

Kettering, OH · On-site

Furthermore, GBBX is migrating. all development activities towards an agile, Dev, Sec, Ops ... Support pre- and post-contract award data reviews via meeting attendance and capturing meeting ...

Altamira Technologies Corp.

Dev Ops Engineer

Fairborn, OH · On-site

$49.75 - $68.25/hr

... in architecture, data and security. Altamira believes that our people and the culture of our ... Experience managing and maintaining ElasticSearch and Kibana Experience creating and improving ...

Altamira Technologies Corp.

Dev Ops Engineer

Fairborn, OH · On-site

$49.75 - $68.25/hr

... in architecture, data and security. Altamira believes that our people and the culture of our ... Experience managing and maintaining ElasticSearch and Kibana Experience creating and improving ...

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All JobsData Ops JobsData Ops Manager JobsData Ops Manager Jobs in Springfield, OH

Data Ops Manager information

See Springfield, OH salary details

$27.9K

$87.5K

$154.9K

How much do data ops manager jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data ops manager in Springfield, OH is $87,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $113,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Data Ops manager, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What is a Data Ops manager?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

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

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

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

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What job categories do people searching Data Ops Manager jobs in Springfield, OH look for? The top searched job categories for Data Ops Manager jobs in Springfield, OH are:
Data Ops Manager jobs near you
Infographic showing various Data Ops Manager job openings in Springfield, OH as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $87,503 per year, or $42.1 per hour.

Dev Ops Engineer with Security Clearance

Altamira Technologies Corporation

Dayton, OH • On-site

$51.25 - $70.25/hr

Other

Posted 15 days ago

Job description

Position Overview Candidate would need exceptional experience in Python programming (Strong), configuration/management tools such as Gitlab, containerization tools such as Docker and deep expertise with microservices / container architectures (e.g. Docker, OpenShift, Kubernetes), orchestration and automation. Critical to possess experience with designing and implementing AWS Cloud-based hosting solutions, as well as Cloudbased backup and recovery, including failover zones. Familiar with best practices in billing and accounting with AWS to minimize oversubscription of services and the AWS cloud environment at NGA. Other skills to include: automated testing, automated deployments (CI/CD pipelines), and branching strategy and implementation. Required Skills:   5+ years of experience developing tools and processes to drive DevOps or DevSecOps maturity by automating builds, regression testing, monitoring, and pushing releases across environments 5+ years of experience troubleshooting, triaging, and resolving issues for CI/CD pipeline failures or slowness Experience in Kubernetes, ArgoCD, Helm, Prometheus, Grafana, and Python or Golang Experience developing enterprise cloud-native solutions Experience working with application development teams across the software development life cycle and creating solutions to complex problems within a collaborative team environment Experience hosting applications on commercial cloud providers  Experience with Jenkins, GitLab runners, GitHub actions, Terraform, Terragrunt, and Pulumi TS/SCI clearance with a polygraph (willing to take CI Poly) Bachelor's degree in CS or Computer Engineering Desired Skills:  Experience managing and maintaining ElasticSearch and Kibana Experience creating and improving continuous automation across multiple technical stacks Experience creating and improving continuous deployment tools built on Kubernetes Experience triaging and resolving issues related to both open-source and commercial tools in public cloud environments Experience bringing other organizations on board with DevOps, championing the adoption of DevOps processes, tools, and roles, and working with other development teams to recast work Master's degree in CS, Computer Engineering, or a related field Altamira is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.

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