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Data Operations Jobs in Michigan (NOW HIRING)

Nastech Global

Developer

Detroit, MI · On-site

... data operations. - Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform). - Knowledge of data security, governance, and ...

CFS

Senior Data Engineer

East Lansing, MI

$125K - $155K/yr

Write advanced SQL queries, stored procedures, and functions to support high-performance data operations. * Apply best practices in data modeling for enterprise-scale data warehouse environments.

CFS

Senior Data Engineer

East Lansing, MI

$125K - $155K/yr

Write advanced SQL queries, stored procedures, and functions to support high-performance data operations. * Apply best practices in data modeling for enterprise-scale data warehouse environments.

Pwc

MDM Senior Architect-Director

Detroit, MI · On-site

$155K - $410K/yr

Those in data quality and operations at PwC will focus on the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your work will involve ...

BAE Systems

Ops Research Anst Prin

Sterling Heights, MI · On-site

$118.10K - $200.76K/yr

Optimize data strategies and find innovative ways to use data operations best to meet business needs. * Ask strategic questions reflecting an understanding of a business problem and crafting how data ...

Pwc

MDM Senior Architect-Director

Grand Rapids, MI

$155K - $410K/yr

Those in data quality and operations at PwC will focus on the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your work will involve ...

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Lead the design, development, and implementation of high-performance, fault-tolerant telemetry data pipelines for ingesting, processing, and transforming large volumes of IT operational data (logs ...

Deloitte

Data Analytics Manager- Data Lake

Detroit, MI · On-site

Oversee day-to-day operations, maintenance, and ongoing enhancement of data platforms and ... applications, including governance and AI-enabled Data Ops capabilities * Help clients mature their ...

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Data Operations information

See Michigan salary details

$45.3K

$112K

$174.3K

How much do data operations jobs pay per year?

As of May 28, 2026, the average yearly pay for data operations in Michigan is $112,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $142,500.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

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

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.
More about Data Operations jobs
What are the most commonly searched types of Data Operations jobs in Michigan? The most popular types of Data Operations jobs in Michigan are:
What are popular job titles related to Data Operations jobs in Michigan? For Data Operations jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Michigan look for? The top searched job categories for Data Operations jobs in Michigan are:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Michigan as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $112,022 per year, or $53.9 per hour.

Developer

Nastech Global

Detroit, MI • On-site

Full-time

Posted 20 days ago

Job description

Job Title: Developer

Location: Detroit, MI/Charlotte, NC/Remote

Job Type: Full time 

Job Description

Datastage Platform Engineer
 
Must Have Technical/Functional Skills
- 3-5 years of experience in DataStage, including designing, developing, and optimizing ETL workflows.
- Strong experience with Cloud Pak for Data (IBM) and cloud-based platforms such as AWS, Azure, or Google Cloud.
- Proven experience in platform and infrastructure engineering, particularly in cloud environments.
- Expertise in Data Engineering and ETL processes with a strong background in database technologies (SQL, NoSQL).
- Proficiency in programming languages such as Python, Java, or Shell scripting for data operations.
- Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform).
- Knowledge of data security, governance, and compliance best practices.
- Strong troubleshooting, problem-solving, and analytical skills.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
 
Roles & Responsibilities:
- Design, develop, and optimize DataStage ETL workflows for large-scale data processing tasks.
- Collaborate with Cloud Pak services to architect and deploy data solutions, ensuring scalability, security, and high availability.
- Participate in the cloud infrastructure management for data pipelines using various cloud services, ensuring efficiency and cost optimization.
- Provide expertise in data engineering best practices for integrating and managing data on hybrid cloud platforms (e.g., IBM Cloud Pak for Data).
- Build and support data platforms by integrating tools and technologies across the data engineering stack.
- Design and implement DevOps pipelines for automation of data operations in cloud environments.
- Ensure data governance, security, and compliance standards are maintained throughout the engineering lifecycle.
- Troubleshoot, diagnose, and resolve any issues with data processing pipelines or infrastructure components.
- Collaborate with cross-functional teams, including data scientists, architects, and business stakeholders, to optimize data solutions.