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Sr Data Engineer Jobs in Michigan (NOW HIRING)

Sr. Data Engineer - Lansing, MI

Lansing, MI ยท On-site

$116K - $139K/yr

Senior Data Engineer Location: Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED) Duration: 1 year contract with possible extension LOCAL ONLY * Design, develop, and maintain complex database ...

Senior Data Engineer

Dearborn, MI ยท On-site

$128K - $184K/yr

Senior Data Engineer - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the Dearborn ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Senior Data Engineer with 7+ years in data engineering and 10+ years in software with AI ML Experience Preferred: * As a Senior Data Engineer, you will architect and scale end-to-end data pipelines ...

Portfolio - Senior Data Engineer

Lansing, MI ยท On-site

$107K - $146K/yr

The Senior Data Engineer shall perform duties including, but not limited to, the following: * Portfolio Reporting and Business Intelligence * Design, develop, implement, and maintain enterprise ...

New

Senior Data Engineer

Dearborn, MI ยท On-site

$128K - $184K/yr

Senior Data Engineer - positions offered by Ford Motor Credit Company LLC (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the Dearborn ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Senior Engineer Exp: 10+ years Data Engineering work experience Experience Preferred: * As a Senior Data Engineer, you will architect and scale end-to-end data pipelines on GCP, transforming complex ...

$104K - $125K/yr

As a Lead Data Engineer, you will serve as a senior individual contributor responsible for defining technical direction, leading complex Data Engineering initiatives, and building scalable, reliable ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that ...

Senior Data Engineer, CRM

Detroit, MI

$104K - $142K/yr

As a Senior Data Engineer, you will be a key individual contributor responsible for building, maintaining, and governing the data architecture that powers Ford Pro's commercial ecosystem. You will ...

Showing results 41-60

Sr Data Engineer information

See Michigan salary details

$70.6K

$110.1K

$152.5K

How much do sr data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for sr data 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 Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in Michigan? For Sr Data Engineer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Sr Data Engineer jobs? Cities in Michigan with the most Sr Data Engineer job openings:
Infographic showing various Sr Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,107 per year, or $52.9 per hour.

Sr. Data Engineer - Lansing, MI

Trilyon, Inc.

Lansing, MI โ€ข On-site

$116K - $139K/yr

Contractor

Re-posted 3 days ago


Job description

For over 16 years, Trilyon has been a leader in global workforce solutions, specializing in Cloud Technology, AI/ML, Software Development, Technical Writing, and Digital Transformation. We partner with top companies to deliver high-quality talent in engineering, IT, and emerging technologies. For additional information or to view all of our job opportunities, please visit our website https://trilyonservices.com/careers/


We are seeking a Senior Data Engineer to join our team. This role will involve designing, developing, and maintaining complex data platforms, ETL pipelines, and analytics solutions supporting enterprise-scale systems. The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and Elasticsearch, along with a passion for building scalable, high-performance data solutions in an Agile environment.


Job Title: Senior Data Engineer
Location: Lansing, MI (Hybrid – Onsite 2 days/week, REQUIRED)
Duration: 1 year contract with possible extension
LOCAL ONLYJob Description:
  • Design, develop, and maintain complex database systems and enterprise data pipelines
  • Build and optimize ETL processes using Databricks, Python, and Scala
  • Develop and support data solutions using Oracle and cloud-based AWS services
  • Implement and manage Elasticsearch and Kibana for data indexing, search, and visualization
  • Ensure data integrity, performance, and scalability across data warehouse environments
  • Apply CMM/CMMI Level 3 methodologies and Agile development practices, including test-driven development
  • Collaborate with cross-functional teams to deliver high-quality data solutions
  • Support hybrid on-site operations and participate in required on-site interviews

Required Skills & Experience:
  • 12+ years of experience developing complex database systems
  • 8+ years of hands-on experience with Databricks
  • 8+ years using Elasticsearch and Kibana
  • 8+ years of experience with Python and/or Scala
  • 8+ years of experience with Oracle
  • 5+ years of experience in ETL development and data pipeline design
  • 5+ years of experience with AWS cloud services
  • 5+ years of experience with data warehousing, data visualization tools, and data integrity
  • 5+ years working with CMM/CMMI Level 3 processes
  • 5+ years implementing Agile and test-driven development practices

Additional Requirements:
  • Candidates must be local (within 60 miles of Lansing, MI)
  • No remote-only option; relocation candidates will not be considered
  • Must be willing to attend onsite interviews in Lansing, MI

Why Join Us?
  • Trilyon, Inc. offers a comprehensive benefits package
  • Opportunities for growth and professional development
  • Collaborative and inclusive company culture

Equal Employment Opportunity (EEO) Statement:

Trilyon, Inc., is an Equal Opportunity Employer committed to diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected status under applicable laws. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable.



Anjali Sharma (Technical Recruiter)