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Senior Data Warehouse Engineer Jobs in Michigan (NOW HIRING)

We are seeking a Senior 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 ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse. Experience Required: * Senior Engineer Exp: Senior Data Engineer with 7+ years in ...

Data Warehouse Architecture & Design * Design, implement, and maintain enterprise-grade data ... Collaborate with data engineers to ensure reliable ingestion from source systems * Validate data ...

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

Job Title: Senior Data Engineer Location: Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED ... Ensure data integrity, performance, and scalability across data warehouse environments * Apply CMM ...

Sr Data Management Analyst

Midland, MI · On-site

$73K - $93K/yr

Data Warehousing and Integration: Oversee the ETL (Extract, Transform, Load) processes for loading ... senior leadership. (10%)* Continuous Improvement: Stay abreast of emerging data management ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse. Experience Required: * Senior Engineer Exp: 10+ years Data Engineering work ...

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our ... Translate client loyalty program requirements into production-ready data warehouse structures ...

Senior Data Engineer

Dearborn, MI · On-site

$97K - $132K/yr

Job Title: Senior Data Engineer Overview We are seeking an experienced Senior Data Engineer to ... Design and implement scalable data architectures, including data warehouses, data lakes, and ...

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... data warehousing. * Knowledge of APIs, ETL processes, scripting, and reporting automation.

... senior-level resource who can step in and contribute immediately. * Work: Most work comes through one of the MDHHS Data Warehouse development teams. This role will work closely with developers ...

Data Warehouse Architect

Lansing, MI · Hybrid

$85 - $90/hr

... a senior-level resource who can step in and contribute immediately. Most work comes through one of the MDHHS Data Warehouse development teams, with day-to-day collaboration with developers ...

... senior- level resource who can step in and contribute immediately. * Work: Most work comes through one of the MDHHS Data Warehouse development teams. This role will work closely with developers ...

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing ... Advanced technical expertise in Cloud based data warehouses (Databricks Preferred), Spark, Delta ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing ... Advanced technical expertise in Cloud based data warehouses (Databricks Preferred), Spark, Delta ...

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Showing results 1-20

Senior Data Warehouse Engineer information

See Michigan salary details

$70.6K

$110.1K

$152.5K

How much do senior data warehouse engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data warehouse engineer in Michigan is $110,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Warehouse Engineer vs Data Warehouse Developer?

AspectSenior Data Warehouse EngineerData Warehouse Developer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, SnowflakeBachelor's in CS, IT, or related; certifications often optional
Work EnvironmentDesigning, architecting, overseeing data warehouse solutions in enterprise settingsDeveloping, coding, and maintaining data warehouse components and ETL processes
Employer & Industry UsageUsed in large corporations, finance, healthcare, retailCommon in tech firms, consulting, and data-driven startups

The main difference is that Senior Data Warehouse Engineers focus on designing and overseeing data warehouse architecture, while Data Warehouse Developers primarily build and maintain data pipelines and ETL processes. Both roles require similar technical skills, but the senior engineer role involves more strategic planning and leadership.

What does a senior data warehouse engineer do?

A Senior Data Warehouse Engineer is responsible for designing, developing, and maintaining data warehouse solutions that enable organizations to store, manage, and analyze large volumes of data. They work closely with business analysts, data scientists, and other stakeholders to understand data requirements and ensure data integrity, performance, and security. Their role often includes optimizing data workflows, developing ETL processes, and implementing best practices for data modeling and architecture. Senior engineers typically lead projects, mentor junior team members, and help define data strategies within an organization.

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

To thrive as a Senior Data Warehouse Engineer, you need advanced knowledge of data modeling, ETL processes, SQL, and a degree in computer science or a related field. Experience with data warehousing platforms (such as Snowflake, Redshift, or Teradata), ETL tools (like Informatica or Talend), and relevant certifications are highly valuable. Strong problem-solving skills, attention to detail, and effective communication enable you to design scalable solutions and collaborate with stakeholders. These skills and qualities are essential for ensuring reliable, efficient data infrastructure that supports informed business decision-making.

What are some common challenges faced by senior data warehouse engineers when integrating new data sources?

Senior Data Warehouse Engineers often encounter challenges such as ensuring data quality and consistency when integrating new sources. These challenges include mapping disparate data structures, handling varying data formats, and addressing data latency issues. Successful integration requires close collaboration with data architects, source system owners, and business analysts to ensure that the new data aligns with existing models and business requirements. Effective communication and robust data validation processes are key to overcoming these hurdles.
What are popular job titles related to Senior Data Warehouse Engineer jobs in Michigan? For Senior Data Warehouse Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Data Warehouse Engineer jobs in Michigan look for? The top searched job categories for Senior Data Warehouse Engineer jobs in Michigan are:
What cities in Michigan are hiring for Senior Data Warehouse Engineer jobs? Cities in Michigan with the most Senior Data Warehouse Engineer job openings:
Infographic showing various Senior Data Warehouse Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,107 per year, or $52.9 per hour.

Senior Data Engineer

CFS

Lansing, MI

$125K - $155K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


Job description

Position: Senior Data Engineer
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.
Summary of the Senior Data Engineer Role: We are seeking a Senior 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
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