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Remote Dataops Engineer Jobs in Ohio (NOW HIRING)

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... DataOps and ModelOps principles Ability to investigate and analyze information, and to draw ... work Remote roles will also have the opportunity to come together in our offices for moments that ...

MLOps Automation Senior Lead Engineer

Columbus, OH · On-site +1

$100K - $131K/yr

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Columbus, OH · On-site +1

$97K - $128K/yr

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Fairlawn, OH · On-site +1

$99K - $130K/yr

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Cleveland, OH · On-site +1

$100K - $132K/yr

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Akron, OH · On-site +1

$99K - $130K/yr

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

MLOps Automation Senior Lead Engineer

Cleveland, OH · On-site +1

$100K - $132K/yr

Experience with agile development and strong understanding of DataOps and ModelOps principles ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Remote Dataops Engineer information

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

AspectRemote Dataops EngineerData Engineer
CredentialsBS in CS, Data Science, or related; certifications like AWS, GCP, or AzureSimilar credentials; often with additional database or software engineering certifications
Work EnvironmentRemote or hybrid, collaborative teams, cloud platformsRemote or on-site, data-focused teams, cloud and on-prem infrastructure
Industry UsageTech, finance, healthcare, e-commerceTech, finance, retail, telecom
Search & Comparison IntentUnderstanding roles in data operations, cloud deployment, automationFocus on data pipeline development, database management, ETL processes

The Remote Dataops Engineer and Data Engineer roles share many credentials and work environments, often overlapping in cloud and data infrastructure. However, Data Engineers typically focus more on building and maintaining data pipelines and databases, while Dataops Engineers emphasize automating deployment, monitoring, and optimizing data workflows in cloud environments.

What is a Remote DataOps Engineer?

A Remote DataOps Engineer is a technology professional who works remotely to manage, automate, and optimize data pipelines and processes within an organization. Their main goal is to streamline the flow of data between various systems, ensuring the availability, quality, and security of data for analytics and business operations. They collaborate closely with data engineers, analysts, and IT teams to develop efficient workflows, automate repetitive tasks, and monitor data infrastructure performance. By working remotely, they leverage cloud-based tools and communication platforms to support distributed teams and global data operations.

How do Remote DataOps Engineers typically collaborate with cross-functional teams to ensure smooth data pipeline operations?

Remote DataOps Engineers often work closely with data engineers, analysts, and DevOps teams using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings and documentation are essential to align on pipeline requirements, monitor data quality, and resolve issues quickly. Clear communication and proactive status updates help build trust with stakeholders and ensure that data infrastructure supports business needs efficiently, even when working remotely.

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

To thrive as a Remote DataOps Engineer, you need expertise in data engineering, automation, and pipeline management, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, Kubernetes, CI/CD systems, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills are crucial for managing distributed teams and complex data workflows. These skills and qualities ensure efficient, reliable, and scalable data infrastructure essential for modern data-driven organizations.
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 job categories do people searching Remote Dataops Engineer jobs in Ohio look for? The top searched job categories for Remote Dataops Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Dataops Engineer jobs? Cities in Ohio with the most Remote Dataops Engineer job openings:

MLOps Automation Engineer Lead

Huntington

Columbus, OH • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Description

Summary:

Our Enterprise Data and Analytics department is growing, and we're looking for an outstanding MLOps Automation Engineer Lead to join our team. At Huntington, this is an opportunity to work cross-functionally with nearly every team in the company to elevate the organization by uncovering trends and opportunities, decreasing the time to insight, and making data accessible to all. Our goal is to be the Best performing Regional Bank in America, and we need data and analytics to meet that goal. 

As we advance our data and analytics capabilities, we want individuals interested in leading and developing current team members, while also serving as a technical leader who will still be involved in deploying data and models to production. The primary focus is automating development and delivery processes and maintaining the continuous integration and continuous deployment (CI/CD) pipeline.

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.
  • 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.
  • Provide leadership, coaching, and mentoring to team members and develop team to work with all areas of the organization.
  • Work with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
  • Anticipate and analyze trends in technology while assessing the emerging technology’s impact(s).
  • Coach individuals and teams through change and serve as a role model.
  • Perform other duties as assigned.

Basic Qualifications:

  • Bachelor’s Degree (Computer Science, Business Administration, Economics or related fields) or equivalent relevant work experience
  • 7+ years’ experience in automation engineering, software engineering, or related field
  • 7+ years’ 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:

  • 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
  • Financial Services background
  • 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


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain 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.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.