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Databricks Jobs in Michigan (NOW HIRING)

Hands-on Python, SQL, & Databricks development * Early adopter of AI / ML planning models and Agent development * Demonstrated ability to learn, grow and adapt to ambiguous situations * Advanced ...

This role requires strong expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence, along with hands-on experience in modern frontend/UI development. The ideal candidate will be ...

Machine Learning Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develop statistical and machine learning models using Databricks * Leverage datasets including: * Historical vehicle sales * Competitive sales data * Feature-level willingness-to-pay data * Customer ...

Work within a modern cloud-based data platform environment (including Databricks) to access, transform, and analyze data at scale * Contribute to the development of repeatable analytical frameworks ...

Work within a modern cloud-based data platform environment (including Databricks) to access, transform, and analyze data at scale * Contribute to the development of repeatable analytical frameworks ...

The ideal candidate can work across the stack, with experience in platforms such as Databricks and the ability to move solutions from data pipelines and experimentation through APIs, user experiences ...

Utilize Python, SQL Server, Databricks, and cloud-based technologies to transform and analyze large datasets. * Develop and support business solutions using Power Apps, SharePoint, and Power Automate.

Showing results 41-60

Databricks information

See Michigan salary details

$20.5K

$32.9K

$44.5K

How much do databricks jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks in Michigan is $32,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,200.00 and $36,200.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

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

The most popular types of Databricks jobs in Michigan are:

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

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

What cities in Michigan are hiring for Databricks jobs?

Cities in Michigan with the most Databricks job openings:

Infographic showing various Databricks job openings in Michigan as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $32,871 per year, or $15.8 per hour.

Staff Automation & Platform Engineer

General Motors

Warren, MI • On-site

$160K - $246K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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
Mission: Industrialize concepts into robust, production-grade platforms that the business can rely on. This is a flexible, full-stack Engineering role responsible for building and maintaining the software platform that connects AI models to business processes, as well as building agents directly within third-party platforms like Glean, Databricks, and Azure AI Foundry - while extending a software engineering mindset - testability, reliability, and maintainability - to agentic and automation systems, and helping other teams build to that same bar, so systems can be trusted to run in production without constant rework.
Key Responsibilities:
Platform Engineering: Build and maintain a full-stack software platform (frontend, backend, and data layers) that serves as the foundation for automation and AI-driven solutions across the business.
Production Hardening: Refactor prototypes into robust, production-grade code capable of handling high-volume transactions.
Engineering Rigor for Agentic Systems: Apply software engineering discipline - automated testing, error handling, observability, and reliability practices - to agentic frameworks and automation pipelines, not just traditional application code, so systems are durable and require minimal rework.
Advanced Logic Orchestration: Design complex workflows (such as agentic frameworks or LLM chaining) to solve intricate business problems.
System Integration: Manage API connections between predictive models, legacy systems, third-party platforms, and user interfaces.
Third-Party Platform Enablement: Continuously learn and build agents and automations directly within emerging third-party platforms (e.g., Databricks, Glean, Azure AI Foundry, Google), using them as core building blocks for new solutions and evaluating/adopting new tooling as the ecosystem evolves.
Resilience Engineering: Implement comprehensive logging, monitoring, and self-recovery mechanisms to minimize downtime.
Consulting & Best Practices: Document and evangelize engineering best practices and design patterns - including how to build high-quality, testable agents on platforms like Glean - and coach other teams so agents and automations they build independently meet the same reliability bar.
Advanced Support Escalation: Act as the technical escalation point for complex code-related issues after deployment.
Required Qualifications:
Education: Bachelor's degree in Computer Science, Software Engineering, or related field.
Experience: 8+ years of experience in Software Development, Automation Engineering, or Backend Engineering.
Full-Stack Technical Depth: Strong proficiency across the stack - Frontend (ReactJS/Vite), Backend (Python), and Data (PostgreSQL/Databricks) - plus REST APIs and Workflow Orchestration tools.
Engineering Rigor: Strong focus on code quality, error handling, and testing, applied equally to traditional software and to agentic/automation systems.
Platform & Tooling Agility: Demonstrated ability to rapidly learn and build production-quality agents and automations directly within third-party platforms such as Databricks, Glean, Azure AI Foundry, and Google tooling - not just custom code - to deliver solutions.
Preferred Qualifications:
VSSM Business Knowledge: Familiarity with the VSSM business domain is a major advantage in prioritizing and shaping platform investments.
Conceptual Thinking: Ability to work on complex assignments requiring originality and ingenuity in approach.
Impact Focus: Experience setting objectives that directly influence results and providing measurable contributions.
Adaptability: Resilience in approaching setbacks and comfort operating in fast-changing technical environments; ability to analyze failures and identify improvements.
Autonomy: Ability to work independently with broad latitude in decisions and actions in a complex environment.
Compensation:
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws.
The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
  • The salary range for this role is $160,000-$246,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

#LI-HP2
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 based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your 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 1-800-865-7580. 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.

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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