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Databricks Engineer Jobs in Michigan (NOW HIRING)

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

AI Engineering Leadership: * Define best practices for AI solution design, deployment, and ... Ensure AI solutions effectively leverage enterprise data pipelines (e.g., Databricks). * Feature ...

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

The Applied AI Engineer turns ideas into production-ready AI solutions spanning feasibility, data ... The ideal candidate can work across the stack, with experience in platforms such as Databricks and ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Domino's Pizza

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Domino's

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... and Databricks Genie Spaces use cases. - Partner with technical team members and business ...

Staffingine LLC

Lead DevOps Engineer

Detroit, MI · On-site

$52.25 - $71.50/hr

... s Engineer Job Location: Detroit, MI Job Type: Contract * Collaborate with Agile development teams ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner.

Trilyon, Inc.

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ... Job Title: Senior Data Engineer Location: Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED ...

Stellantis

Ontology Engineer

Auburn Hills, MI · On-site

... Databricks, helping the team evolve toward advanced capabilities, including AI-enhanced insights ... data engineering position - not a dashboard/reporting development role. As Stellantis operates ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Experience with Databricks notebook workflows * Experience with Terraform

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Corning

$93K - $122K/yr

... Databricks or Databricks Genie Spaces. -Experience with model-serving endpoints or managed AI services. -Experience with prompt engineering, orchestration patterns, or AI workflow automation ...

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Showing results 41-60

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Michigan

Databricks Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do databricks engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks engineer in Michigan is $97,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $115,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

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

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

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

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

What cities in Michigan are hiring for Databricks Engineer jobs?

Cities in Michigan with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Michigan as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 1% Temporary, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $97,298 per year, or $46.8 per hour.

Sub-System Lead Engineer OR Senior Sub-System Lead Engineer (Chassis Data & Analytics)

General Motors

Milford, MI • On-site

Other

Posted 28 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,282 frontline employees who took The Breakroom Quiz

Job description

Job Description
The Role:
As a Chassis Diagnostics & Analytics Sub-system Lead Engineer, you will play a key role in shaping how next-generation vehicles are monitored, diagnosed, and improved. This is an opportunity to lead high-impact work at the intersection of diagnostics, data, and vehicle innovation-defining the capabilities that help enable smarter, safer, and more reliable chassis systems across braking, steering, suspension, and vehicle dynamics.
In this role, you will turn complex technical challenges into clear, actionable solutions by leading diagnostic specifications, shaping core data strategies, and strengthening on-board health monitoring capabilities. You'll collaborate across a broad network of partners, influence both technical direction and execution, and help build trusted analytics foundations that support the future of software-defined vehicles. If you are energized by solving complex problems, leading with technical depth, and making a visible impact on the future of mobility, this is a unique opportunity to help drive GM's vision of Zero Crashes, Zero Emissions, and Zero Congestion.
*This role is open to hire at 1 of 2 levels. (L6 or L7)
What You'll Do:
  • Lead the requirements documentation and coordination by developing Behavior Technical Specifications (BTS's) for chassis diagnostics and analytics projects and translating these to project initiatives, capabilities, and features.
  • Create and maintain requirements for serial data and service-level diagnostics (ex. RIDs/DIDs) using "On-board Diagnostic Principles" and communication services.
  • Organize and approve requirements written by other group members.
  • Maintain privacy impact assessments for the data that the group collects and uses.
  • Manage the data element tracking and sourcing strategy for the chassis space, including establishing required data elements, documenting source databases and tables, and proposing proper collection cadences.
  • Develop and manage supplier data-sharing contracts.
  • Develop and manage requirements for the data collection initiatives, capabilities, and features throughout the group by working with our IT teams to
  • Demonstrate exceptional communication skills while reporting out to leadership (on a regular cadence) the progress of diagnostics and analytics development.
  • Lead failure mode effects analysis and test regime discussions with our diagnostics and analytics developers.

Your Skills & Abilities (Required Qualifications):
(Required for Level 6)
  • Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
  • 3+ years of experience utilizing data analysis methods and success solving complex problems.
  • 2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
  • Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
  • Proficiency using the Databricks platform.
  • Familiarity with data and analytics architecture and principles.
  • Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
  • Familiarity with data governance principles.
  • Capable of converting ambiguous problem statements into concrete project requirements.
  • Passion for data driven results and customer initiatives.

(Required for Level 7)
  • Bachelor of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
  • 5+ years of experience utilizing data analysis methods and success solving complex problems.
  • 2+ years of experience of working with vehicle telematics data, on-board diagnostics, or serial data.
  • Sufficiency using relevant programming languages: Python, SQL, Scala, & R.
  • Proficiency using the Databricks platform.
  • Familiarity with data and analytics architecture and principles.
  • Familiarity with continuous integration and continuous deployment methodologies and their application in data engineering and analytics workflows.
  • Familiarity with data governance principles.
  • Capable of converting ambiguous problem statements into concrete project requirements.
  • Passion for data driven results and customer initiatives.

What Will Give You A Competitive Edge (Preferred Skills):
(Preferred for Level 6)
  • Master's of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
  • Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
  • Proficiency using relevant programming languages: Python, SQL, Scala, & R.
  • Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
  • Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.

(Preferred for Level 7)
  • Master's of Science degree in Computer Science, Engineering, Applied Mathematics, Statistics, Data Governance, or Data Analytics.
  • 8+ years of experience utilizing data analysis methods and success solving complex problems.
  • Chassis sub-system understanding (i.e. braking, vehicle dynamics, steering, and/or suspension systems).
  • Proficiency using relevant programming languages: Python, SQL, Scala, & R.
  • Proficiency using relevant programming tools: Databricks, Spark, Hive, and Power BI.
  • Proficiency/Certifications using relevant tools: Databricks (Certification), MLFlow, MATLAB, Tableau & Github.
  • Experience with data sharing agreements and privacy impact assessments.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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