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Senior Dataops Engineer Jobs in Ohio (NOW HIRING)

MLOps Automation Senior Lead Engineer

Akron, OH · On-site +1

$99K - $130K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Experience with agile development and strong understanding of DataOps and ModelOps principles

Sr. Cloud Architect

Columbus, OH · On-site +1

$137K - $205K/yr

Sr Cloud Engineer - IE07NE We're determined to make a difference and are proud to be an insurance ... Incorporation of DevOps and DataOps practices into suggested solutions to drive increased ...

AVP, Data Management

Dayton, OH · On-site

$150 - $300/hr

Job Summary The Associate Vice President, Data Management is a senior technology executive ... Champion automation, DevOps, and DataOps capabilities across the organization. * Establish ...

... DataOps practices for data engineering • Data quality, observability, lineage, metadata ... senior executives • Experience estimating, scoping, and shaping complex data engineering ...

Senior Dataops Engineer information

What is a senior DataOps engineer?

Senior DataOps Engineers are experienced professionals who design, implement, and manage data pipelines and workflows to ensure reliable, efficient, and scalable data operations within an organization. They bridge the gap between data engineering, DevOps, and analytics by automating data integration, deployment, and monitoring processes. Their role often includes optimizing data infrastructure, ensuring data quality, and enabling data teams to quickly deliver insights. Senior DataOps Engineers also mentor junior team members and help define best practices for data operations.

What are some common challenges a senior DataOps engineer faces when scaling data infrastructure for a growing organization?

A Senior DataOps Engineer often encounters challenges such as ensuring data pipeline reliability during rapid scaling, managing increasing data volume and complexity, and maintaining high data quality across distributed environments. Balancing automation with flexibility, integrating new tools with legacy systems, and coordinating with cross-functional teams (like data scientists and DevOps) are also key hurdles. Success in this role requires proactively identifying bottlenecks, optimizing workflows, and fostering a culture of collaboration to support evolving business needs.

What are the key skills and qualifications needed to thrive as a senior DataOps engineer, and why are they important?

To thrive as a Senior DataOps Engineer, you need a solid background in data engineering, automation, CI/CD pipelines, and strong knowledge of data architecture, usually supported by a degree in computer science or a related field. Expertise in tools like Apache Airflow, Kubernetes, Docker, cloud platforms (AWS, Azure, or GCP), and proficiency with scripting languages such as Python or Bash are typically required, along with certifications like AWS Certified Solutions Architect or Google Cloud Data Engineer. Outstanding problem-solving skills, collaboration, and effective communication are essential soft skills for integrating diverse teams and managing complex workflows. These capabilities ensure data reliability, streamlined operations, and scalable solutions in dynamic data-driven environments.

What is the difference between Senior Dataops Engineer vs Data Engineer?

AspectSenior Dataops EngineerData Engineer
CredentialsTypically requires experience with cloud platforms, scripting, and data pipeline toolsRequires knowledge of database systems, SQL, and data modeling
Work EnvironmentFocuses on deployment, automation, and maintaining data infrastructureDesigns and builds data pipelines and storage solutions
Industry UsageCommon in organizations emphasizing data operations and automationWidespread across industries for data storage and processing

The main difference is that Senior Dataops Engineers focus on managing and automating data workflows and infrastructure, while Data Engineers primarily design and build data pipelines and storage systems. Both roles require strong technical skills, but their focus areas differ within the data ecosystem.

What are the most commonly searched types of Dataops Engineer jobs in Ohio?

The most popular types of Dataops Engineer jobs in Ohio are:

What are popular job titles related to Senior Dataops Engineer jobs in Ohio?

For Senior Dataops Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Dataops Engineer jobs in Ohio look for?

The top searched job categories for Senior Dataops Engineer jobs in Ohio are:

MLOps Automation Senior Lead Engineer

Huntington Bank

Columbus, OH • On-site

$93 - $189/hr

Other

Medical, Life, Retirement, PTO

Posted 18 days ago


Huntington National Bank rating

8.2

Company rating: 8.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

50th of 171 rated banks


Job description

## MLOps Automation Senior Lead EngineerApplyremote type: Officelocations: Columbus, OH: Austin, TX: Chicago, IL: Dallas, TX: Huntington Tower Detroit Mitime type: Full timeposted on: Posted Todayjob requisition id: R0072794# **Description****Summary:**The MLOps Automation Engineering Senior Lead will lead a team responsible for building and deploying MLOps Automation for some of Huntington’s most valuable and most challenging data-driven projects.**Duties and Responsibilities:*** Streamline the data, analytics, and model development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them through automation.* Helps set the strategy and tone for MLOps Automating Engineering strategy and vision for the future.* Understand the current process and technical complexities of developing and deploying data pipelines and model builds and develop automation solutions to improve and extend the existing process to become an unattended delivery pipeline.* Collaborate closely with product development, architecture, data engineering and testing teams to understand their current build and release processes and make recommendations for improvement through the automation of various tasks.* Partner with cross-functional stakeholders, including development, operations, quality assurance and security, to streamline processes.* Develop and continuously improve automation solutions to enable teams to build and deploy quality data and code efficiently and consistently.* Build automated testing solutions in support of quality management objectives to reduce manual effort.* Build automated environment provisioning solutions in response to changes in processing demand.* Build automated feedback mechanisms to monitor the performance of models in production.* Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.* Prepare and present design and implementation documentation to multiple stakeholders.* Promote automation across the data management and analytics delivery organization.* Perform other duties as assigned.**Basic Qualifications:*** Bachelor’s Degree (Computer Science, Business Administration, Economics or related fields) or equivalent relevant work experience* 10+ years of relevant automation engineering experience, of software engineering, in strategy, management consulting, or similar skillset, and of technical leadership experience with data-centric products* 10+ years of experience with one or more coding languages (e.g., JavaScript, C++, Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development platforms (e.g., AWS, Azure, Docker, Kubernetes)**Preferred Qualifications:*** Strong collaboration skills, with a demonstrated ability to work well as part of a team* Experience developing CI/CD workflows and tools* Strong automation scripting skills* Experience in configuration management, test-driven development, and release management.* Strong analytical and troubleshooting skills.* Experience with agile development and strong understanding of DataOps and ModelOps principles* Ability to investigate and analyze information, and to draw conclusions* Flexibility, adaptability, and desire to learn new languages and technologies* Strong verbal and written communication skills* Demonstrated ability to work independently across multiple tasks while meeting aggressive timelines* Strategic, intellectually curious thinker with focus on outcomes* Professional image with the ability to form relationships across functions* Ability to train more junior analysts regarding day-to-day activities, as necessary* Proven ability to lead cross-functional efforts* Willingness and ability to learn new technologies on the job* Financial Services background**Exempt Status: (Yes** = not eligible for overtime pay) (**No** = eligible for overtime pay)Yes**Workplace Type:**OfficeOur Approach to **Office** Workplace TypeCertain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.**Compensation Range:**Total Base Pay Range 93,000.00 - 189,000.00 USD AnnualThe compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). #J-18808-Ljbffr

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