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Dataops Engineer Jobs in Michigan (NOW HIRING)

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Role: DataOps Engineer Location; Hybrid work Dearborn, MI (starting September 1st, will be moving to 4 days a week onsite). Duration: 12 month contract. Additional Information: Hybrid Position ...

Kiongroup

Senior AI Context Engineer

Grand Rapids, MI · Hybrid

$134.25K - $179K/yr

Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ... Mentor engineers and promote best practices in semantic modeling, governance, and AI-ready platform ...

Kiongroup

Senior AI Context Engineer

Grand Rapids, MI · Hybrid

$134.25K - $179K/yr

Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ... Mentor engineers and promote best practices in semantic modeling, governance, and AI-ready platform ...

Programmers.io

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Establish development best practices, coding standards, CI/CD, and DevOps/DataOps patterns. * Provide technical mentorship and create training plans for engineering teams. * Contribute to building ...

Dminds Solutions Inc.

Databricks Lead/Architect

Detroit, MI

$50.50 - $69.25/hr

Establish development best practices, coding standards, CI/CD, and DevOps/DataOps patterns. Provide technical mentorship and create training plans for engineering teams. Contribute to building MLOps ...

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$20

$55

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How much do dataops engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for dataops engineer in Michigan is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $40.32 and $61.43 per hour, depending on experience, location, and employer.

What is a DataOps Engineer job?

A DataOps Engineer is responsible for streamlining and automating data workflows, ensuring data quality, and enabling efficient data integration across platforms. They work closely with data scientists, analysts, and engineers to implement CI/CD pipelines, manage data infrastructure, and optimize data delivery processes. Their role involves leveraging tools for orchestration, monitoring, and version control to enhance collaboration and reliability in data operations.

What are the key skills and qualifications needed to thrive in the Dataops Engineer position, and why are they important?

To thrive as a Dataops Engineer, you need a strong background in data engineering, automation, CI/CD practices, and cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and major cloud providers (AWS, Azure, GCP) as well as relevant certifications significantly enhances effectiveness in this role. Strong problem-solving skills, collaboration, and clear communication are essential soft skills for working across teams and addressing fast-changing data needs. These combined abilities ensure smooth data pipeline operations, minimize downtime, and enable efficient, reliable delivery of data-driven solutions.

What are the common day-to-day responsibilities of a Dataops Engineer?

A Dataops Engineer is typically responsible for designing, deploying, and maintaining automated data pipelines that support business analytics and operations. Daily tasks often include monitoring data workflows, troubleshooting pipeline issues, optimizing system performance, and collaborating with data scientists, analysts, and DevOps teams to ensure seamless data delivery. You may also be involved in implementing data quality checks, managing cloud resources, and improving deployment processes. This role is dynamic and fast-paced, requiring both technical expertise and effective cross-team communication. Working as a Dataops Engineer provides the opportunity to work on cutting-edge projects and directly influence data-driven decision-making across the organization.

What does a DataOps engineer do?

A DataOps engineer is responsible for managing and automating data pipelines, ensuring efficient data flow from collection to analysis. They use tools like automation scripts, cloud platforms, and data management frameworks to improve data quality, reliability, and deployment speed in data-driven environments.
More about Dataops Engineer jobs
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Dataops Engineer jobs near you
Senior DataOps Engineer (W2 Position)

Senior DataOps Engineer (W2 Position)

Megan soft Inc

Dearborn, MI • On-site

$96K - $131.80K/yr

Other

Posted 3 days ago

Job description

We have a job opportunity of a Role Senior DataOps Engineer with given job description on #W2. Please forward updated profile to praveen@megansoft.com or +1(248) 266-0910.

Role: Senior DataOps Engineer (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 8+ Years

JD:

Core DataOps & Engineering Skills:

  • Proven experience as a DataOps Engineer, Data Engineer, or similar role, with a strong focus on operationalizing data pipelines.
  • Expertise in designing, building, and optimizing large-scale data pipelines for both batch and real-time processing.
  • Strong understanding of DataOps principles, including CI/CD, automation, data quality, data governance, and monitoring.
  • Proficiency in programming languages commonly used in data engineering, such as Python.
  • Experience with Infrastructure as Code (IaC) tools (e.g., Terraform) for managing cloud resources.
  • Solid understanding of data modeling, schema design, and data warehousing concepts (e.g., star schema).

Thanks & Regards

Praveen

Megan Soft, Inc.

Direct No: +1(248) 266-0910

E Mail: praveen@megansoft.com