ZipRecruiter

Log In

1

Data Operations Jobs in Michigan (NOW HIRING)

CFS

Senior Data Engineer

East Lansing, MI · On-site

$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.

Amerihealth Caritas

Supv Prov Net Ops

Southfield, MI · Remote

$77K - $104K/yr

Monitor provider data maintenance and/or claims-related activities, providing feedback and recommendations for improvement * Research and resolve complex claims issues and operational discrepancies

JLL

Specialist, Data Center Operations

Detroit, MI · On-site

Monitor and evaluate data center performance, including power consumption, ambient temperature and other critical factors affecting data center operation. * Keep technical documentation of the data ...

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/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 ...

previous page

Showing results 41-60

All JobsData Operations JobsData Operations Jobs in Michigan

Data Operations information

See Michigan salary details

$45.3K

$112K

$174.3K

How much do data operations jobs pay per year?

As of Sep 13, 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?

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 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.

What are the key skills and qualifications needed to thrive in data operations, 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 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 September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $112,022 per year, or $53.9 per hour.

Senior Data Engineer

East Lansing, MI • On-site

CFS
See more jobs at CFSexternal

$125K - $155K/yr

Full-time, Contractor

Medical, Retirement, PTO

Posted 10 days ago

Job description

Position: Data Engineer
Job Type: Permanent or Contract-to-Hire
Salary: $125,000 - 155,000
Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc.
Location: East Lansing, MI area (Onsite)

Why You Should Apply:

  • Outstanding culture with a family-oriented feel, where technology is highly valued.

  • Competitive compensation and benefits package with $0 cost healthcare options.

  • Work in a modern environment with the latest tools, collaborative spaces, and a strong focus on professional growth.

Job Summary:
We are seeking a Data Engineer with strong SQL skills and hands-on experience working with enterprise data warehouse environments. This role will play a key part in building and maintaining scalable data solutions using Microsoft Fabric and Power BI. If you're passionate about transforming raw data into meaningful insights and enjoy collaborating across teams to support analytics initiatives, this could be a great fit.
Responsibilities of the Senior Data Engineer:

  • Build and maintain robust data pipelines for ingestion, transformation, and integration across diverse systems.
  • Develop and optimize ETL/ELT workflows using Microsoft Fabric Data Factory.
  • 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.
  • Architect and manage data warehouse solutions using Microsoft Fabric’s Data Warehouse and OneLake.
  • Ensure consistency, reliability, and scalability of data across reporting and analytics platforms.
  • Work closely with developers to structure data for efficient Power BI usage, including semantic modeling and partitioning.
  • Collaborate with business analysts and stakeholders to gather requirements and deliver clean, actionable datasets.
  • Provide guidance on SQL optimization, data governance, and reporting standards.

Preferred Experience of the Senior Data Engineer:

  • Advanced SQL skills, including query tuning, indexing, and performance optimization.
  • Experience with enterprise data warehouse architecture and implementation.
  • Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI.
  • Solid understanding of data modeling techniques (e.g., star schema, snowflake schema, normalization).
  • Experience with data integration, data orchestration and data ingestion
  • Familiarity with ETL/ELT processes and orchestration frameworks.
  • Strong analytical thinking and problem-solving capabilities.
  • Excellent communication and collaboration skills.
  • Comfortable working in agile, fast-paced environments.
  • Bonus: Experience with real-time analytics and large-scale data processing.
  • Bonus: Experience with Microsoft Fabric
    #LI-NB5 #INSEP2026

Apply