1

Data Operations Engineer Jobs in Michigan (NOW HIRING)

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata ...

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

Broader exposure across the different building blocks that make AI-ready data operational at scale * Experience working at the intersection of data engineering, integration, quality and delivery ...

... / Platform Engineer to help evolve the infrastructure that powers our platform, along with the ... Experience deploying, operating, and tuning a mix of data stores -- relational (PostgreSQL ...

New

DevOps Specialist

Dearborn, MI · On-site +1

$48.50 - $66.50/hr

Engineer for 99.99% Reliability: Bring a true SRE mindset to our platform. You will design self ... All personal data collected is used solely for recruitment purposes, and you have the right to know ...

ML Ops Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description ... The individual will design, implement, and optimize data pipelines and machine learning operations ...

Employees will be represented by the Operating Engineers Union, (I.U.O.E Local 324). Key ... operation and routine maintenance of the utility complex equipment * Must be able to perform data ...

... programming, design, entitlements,bidding, permitting) through ground-breaking and final delivery ... Builds and Operations. This position does not provide visa sponsorship. Candidates must be ...

Employees will be represented by the Operating Engineers Union, (I.U.O.E Local 324). Key ... operation and routine maintenance of the utility complex equipment * Must be able to perform data ...

$104K - $125K/yr

Join Corning's Optical Communications team and help transform complex manufacturing and operational ... As a Data Engineer, you will build, maintain, and support data pipelines and cloud-based data ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Advanced knowledge of SQL for data transformation, analysis, and performance tuning. * DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD ...

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

Broader exposure across the different building blocks that make AI-ready data operational at scale * Experience working at the intersection of data engineering, integration, quality and delivery ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Advanced knowledge of SQL for data transformation, analysis, and performance tuning. • DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD ...

Showing results 41-60

Data Operations Engineer information

See Michigan salary details

$31.4K

$74.1K

$117.7K

How much do data operations engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data operations engineer in Michigan is $74,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $81,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data operations engineer?

To thrive as a Data Operations Engineer, you need a solid understanding of data management, ETL processes, and database systems, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, and cloud services (AWS, Azure, or GCP) as well as certifications such as AWS Certified Data Analytics are often required. Strong problem-solving, attention to detail, and effective communication skills help you manage complex data workflows and collaborate with cross-functional teams. These skills ensure data integrity, optimize performance, and enable seamless data-driven decision-making across the organization.

What are some common challenges faced by data operations engineers when working with large-scale data pipelines?

Data Operations Engineers often encounter challenges such as maintaining data quality, ensuring pipeline reliability, and managing system scalability as data volumes grow. Troubleshooting failures in real-time data flows and coordinating with data engineering and analytics teams to address bottlenecks are also common tasks. Additionally, adapting to evolving technologies and implementing automation for routine maintenance can be demanding but are crucial for efficient operations.

What is the difference between Data Operations Engineer vs Data Analyst?

AspectData Operations EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, finance, consulting, retail
Common Search & Comparison IntentUnderstanding technical differences, job roles, skillsData analysis tasks, reporting, insights generation

The Data Operations Engineer focuses on building and maintaining data infrastructure, pipelines, and ensuring data quality, often working with cloud platforms and scripting. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What does a data operations engineer do?

A data operations engineer manages and maintains data pipelines, ensuring data is collected, processed, and stored efficiently for analysis. They often work with tools like SQL, Python, and cloud platforms to automate workflows, monitor data quality, and support data-driven decision-making.

What are popular job titles related to Data Operations Engineer jobs in Michigan?

For Data Operations Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Operations Engineer jobs in Michigan look for?

The top searched job categories for Data Operations Engineer jobs in Michigan are:

Infographic showing various Data Operations Engineer job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $74,110 per year, or $35.6 per hour.

Senior Cloud DevOps Engineer (AWS | Kubernetes | Terraform)

Cognizant Technology Solutions

Troy, MI • On-site

$92K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants


Job description

Role Summary
We are seeking a Senior Cloud DevOps Engineer to assist in the design, implementation, and support of our scalable, secure, and resilient cloud infrastructure. This role will drive our infrastructure automation, cloud services, and CI/CD practices across environments, with a strong emphasis on AWS, Kubernetes, and infrastructure-as-code tooling.
You'll be part of a high-performing team focused on rapid delivery, system reliability, and continuous improvement. Working at Magna means collaborating with engineers and designers who bring decades of experience across multiple disciplines and are passionate about building high-impact systems.
Key Responsibilities
• Design and manage infrastructure using AWS, Kubernetes, and Terraform, with a focus on Terraform module design, remote state management, and policy-as-code.
• Implement GitOps practices using tools like Flux or Argo CD for declarative, version-controlled environment management and drift detection.
• Take ownership of Kubernetes as a Service (KaaS) platforms, including multi-cluster lifecycle management, version upgrades, and advanced autoscaling strategies.
• Troubleshoot complex traffic flows and optimize cloud networking, including CNI configurations, ingress controllers, and load balancing.
• Build and support CI/CD pipelines to enable efficient and reliable deployments.
• Automate infrastructure provisioning and configuration using tools like Ansible, Puppet, or Chef.
• Write and maintain infrastructure-as-code and configuration-as-code for all environments using Terraform.
• Monitor, troubleshoot, and optimize infrastructure performance, availability, and cost.
• Integrate and manage third-party tools, plug-ins, and internal scripts as needed.
• Create and maintain technical documentation, including runbooks and architecture diagrams.
• Participate in on-call rotations and contribute to improving incident response processes.
• Collaborate cross-functionally to ensure infrastructure meets application and business needs.
Key Qualifications/Requirements
Education
• Bachelor's degree in computer engineering / Software Engineering / Electrical Engineering / Computer Science or equivalent
Experience
• 7+ years of experience working as DevOps, SRE, PE or infrastructure engineering experience.
• 5+ years of hands-on experience with cloud platforms, especially AWS (GCP or Azure a plus).
• Advanced Linux systems expertise, including deep knowledge of systemd, cgroups, namespaces, OS tuning, and production hardening.
• Deep Kubernetes and cloud networking knowledge beyond fundamentals (e.g., CNI plugins, Service Mesh, and advanced ingress patterns).
• Experience managing Kubernetes clusters and containerized workloads (EKS / Docker).
• Expertise in Terraform and infrastructure automation practices.
• Proficiency in scripting with Python and Bash.
• Experience with tools like Git, Jenkins, and artifact repositories.
• Familiarity with networking fundamentals such as DNS, DHCP, VPN, and LDAP.
• Experience with monitoring and logging systems such as DataDog, Prometheus, Grafana, ELK, or equivalent.
• Strong understanding of cloud networking, VPCs, security groups, and IAM policies.
• Comfortable working with Agile teams and tools like JIRA and Confluence
Nice To Have
• Experience with Helm and managing Kubernetes via Helm charts.
• Exposure to hybrid environments (cloud + on-prem).
• Familiarity with secrets management tools (e.g., HashiCorp Vault, AWS Secrets Manager).
• Experience mentoring engineers or leading DevOps initiatives.
About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
  • Applications will be accepted until Sept 30th , 2026
  • LI#- #LI-SC6

Compensation & Benefits
$92,000 - $105,000 per year + Cost of living allowance
  • Bonus + Comprehensive Benefits

Additional Information
  • ⚠️ Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom