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Databricks Developer Jobs in Michigan (NOW HIRING)

Exposure to CI/CD pipelines and DevOps practices * Familiarity with Databricks workflows, Spark, and lakehouse concepts * Experience with event-driven architecture and serverless design patterns

Lead DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

The DevOps Lead will design, implement, and support agile solutions and processes leveraged by ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner.

Lead DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

The DevOps Lead will design, implement, and support agile solutions and processes leveraged by ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner.

Lead DevOps Engineer

Dearborn, MI

$48.50 - $66.50/hr

The DevOps Lead will design, implement, and support agile solutions and processes leveraged by ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner.

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience ...

Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience ...

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience ...

Exposure to CI/CD pipelines and DevOps practices * Familiarity with Databricks workflows, Spark, and lakehouse concepts * Experience with event-driven architecture and serverless design patterns

Azure Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/yr

Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics. * Perform data ... in data engineering with a focus on Azure-based solutions. * Strong experience with Azure Data ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms. This role ...

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Databricks * Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power ... Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for databricks developer in Michigan is $53.60, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $59.28 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

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

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
What are the most commonly searched types of Databricks Developer jobs in Michigan? The most popular types of Databricks Developer jobs in Michigan are:
What are popular job titles related to Databricks Developer jobs in Michigan? For Databricks Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Michigan look for? The top searched job categories for Databricks Developer jobs in Michigan are:
Senior Business Intelligence Data Engineer

Senior Business Intelligence Data Engineer

General Motors

Warren, MI • Hybrid

$99K - $135K/yr

Full-time

Posted 12 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

General Motors

Based on 309 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,230 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role

The Senior Business Intelligence Data Engineer will own the full life cycle of understanding the business requirements data and designing the migration of our data from several systems to a cutting-edge Databricks environment, architecting, implementing, and optimizing ETL/ELT processes to ensure robust, secure, and analytics-ready data flows for our business operations.

A successful Senior Business Intelligence Data Engineer demonstrates customer focus, a drive for results, and ease with ambiguous data requests and definitions; influences change, naturally accepts ownership for project deliverables, explores opportunities to add value to job responsibilities, and continues to develop critical skills and technical expertise. Projects will span across all time horizons, from early in Vehicle development process through end of production and often require integration of data across multiple functions, including Engineering, Program Management, Planning, Forecasting, Sales, and Manufacturing.

What You'll Do

  • Collaborate with stakeholders, including data analysts, data scientists, architects, and business teams, to ensure data solutions meet organizational requirements and compliance standards.

  • Design, develop, and maintain data pipelines to transfer data from various databases to Databricks, leveraging both batch and real-time methodologies as appropriate.

  • Lead the overall ETL/ELT architecture, including extraction, transformation, and data loading strategies, ensuring scalability, performance, and data integrity. Optimize and tune ETL/ELT processes for large-scale and real-time data movement, ensuring resource efficiency. Ensure data security, quality, and compliance across the whole process.

  • Model, integrate, and optimize data structures in the Databricks platform, taking into account data lakes, data warehousing needs, and analytics workloads.

  • Automate and monitor data workflows for reliability, transparency, and fault tolerance throughout the migration and beyond. Document data flows, transformation logic, and technical specifications for all data integration processes, enabling maintainability and smooth knowledge transfer.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's Degree in Computer Science, Data Analytics, Engineering, Operations Managementor related field

  • 5+ years of experience in data engineering or related roles, with demonstrated expertise in database migrations and ETL/ELT process design.

  • Deep hands-on experience with databases Oracle, SQL Server, MySQL, Teradata, Snowflake

  • In-depth knowledge of Databricks (including PySpark, Databricks SQL, and Lakehouse architectures).

  • Expertise in ETL/ELT tools and frameworks (e.g., Informatica, Talend, Databricks Workflows, or custom pipelines).

  • Proven ability to design and implement scalable, efficient data pipelines and to optimize complex transformations in modern cloud environments.

  • Demonstrated experience in data modeling and integration for analytics and BI use cases.

  • Excellent communication and documentation skills for cross-functional collaboration and process transparency.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Master's degree in Computer Science, Software Engineering, or related field

  • Knowledge of data governance, metadata management, or data quality/observability

  • Familiarity with schema design and data contracts

  • Experience handling various file formats (video, audio, image)

  • Experience with Databricks, Snowflake, or similar platforms

  • Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files, external suppliers, supplier chain systems)

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, email us 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.


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