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Manager Databricks Data Engineer Jobs in Michigan

Sr. Data Engineer - Lansing, MI

Lansing, MI ยท On-site

$116K - $139K/yr

The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ... Implement and manage Elasticsearch and Kibana for data indexing, search, and visualization * Ensure ...

Data Engineer

Farmington Hills, MI ยท On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Exposure to Databricks or similar tools (not required). * Ability to operate in a fast-paced ...

Data Engineer

Farmington Hills, MI ยท On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Exposure to Databricks or similar tools (not required). * Ability to operate in a fast-paced ...

Data Engineer - Supply Chain

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent ... Knowledge of data governance, metadata management, and lineage tools * Experience supporting BI or ...

ICT Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.

Data Engineering Manager

Warren, MI

$107K - $129K/yr

About the Role The Data Engineering Manager will lead a team of data engineers focused on building ... If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building ...

GCP Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

... Data Management Preferred Skills GitHub, Machine Learning Required Experience 5+ years of ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Management Skills Preferred: GitHub, Machine Learning Experience Required: * 5+ years of ... Azure Data Factory, Databricks; Google BigQuery, Dataflow). * Strong understanding of data ...

ICT Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.

Senior Staff Data Engineer

Portage, MI ยท On-site +1

$153K - $255K/yr

Define and evolve enterprise data architecture patterns across Azure and Databricks environments ... Experience implementing data governance, metadata management, lineage, and data quality frameworks.

Senior Staff Data Engineer

Portage, MI ยท On-site +1

$255K/yr

Define and evolve enterprise data architecture patterns across Azure and Databricks environments ... Experience implementing data governance, metadata management, lineage, and data quality frameworks.

Senior Staff Data Engineer

Portage, MI ยท On-site

$153K - $255K/yr

Define and evolve enterprise data architecture patterns across Azure and Databricks environments ... Experience implementing data governance, metadata management, lineage, and data quality frameworks.

Senior Staff Data Engineer

Portage, MI ยท On-site

$153K - $255K/yr

Define and evolve enterprise data architecture patterns across Azure and Databricks environments ... Experience implementing data governance, metadata management, lineage, and data quality frameworks.

Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ... Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ... Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ... Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

Showing results 41-60

Manager Databricks Data Engineer information

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

What are the most commonly searched types of Databricks Data Engineer jobs in Michigan?

The most popular types of Databricks Data Engineer jobs in Michigan are:

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

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

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

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

What cities in Michigan are hiring for Manager Databricks Data Engineer jobs?

Cities in Michigan with the most Manager Databricks Data Engineer job openings:

Infographic showing various Manager Databricks Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Sr. Data Engineer - Lansing, MI

Trilyon, Inc.

Lansing, MI โ€ข On-site

$116K - $139K/yr

Contractor

Re-posted 12 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)