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Databricks Software Jobs in Michigan (NOW HIRING)

Software Engineer #1061561 * Employees in this job function are responsible for designing ... Azure Data Factory, Databricks; Google BigQuery, Dataflow). * Strong understanding of data ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to ... BA/BS in Computer Science, Software Engineering, or a related technical field, and/or equivalent ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to ... BA/BS in Computer Science, Software Engineering, or a related technical field, and/or equivalent ...

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Experience with Databricks, Elastic search, Kibanna, S3. * Experience with Extract, Transform, and ... Execute full software development life cycle (SDLC) including experience in gathering requirements ...

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Experience with Databricks, Elastic search, Kibanna, S3. * Experience with Extract, Transform, and ... Execute full software development life cycle (SDLC) including experience in gathering requirements ...

Data Engineering Manager

Warren, MI · On-site

$107K - $129K/yr

... or software engineering teams. * Deep expertise with Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, SQL, and modern Lakehouse architectures. * Experience designing cloud-native ...

Cloud Software Engineer

Auburn Hills, MI · On-site

$56.75 - $73.75/hr

A minimum of 5 years of software development experience in production environments. * Strong hands ... Experience with Databricks or large-scale data processing. * Familiarity with automotive systems or ...

The Role: We're looking for a Security Software Engineer to join the Security Products Engineering ... Experience with data and analytics platforms (e.g., Databricks) or broader Microsoft/Google cloud ...

... and Databricks Genie Spaces use cases. - Partner with technical team members and business ... What do you need to have? - Bachelor's degree in Computer Science, Software Engineering ...

... and Databricks Genie Spaces use cases. - Partner with technical team members and business ... What do you need to have? - Bachelor's degree in Computer Science, Software Engineering ...

This role requires strong expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence ... Experience in full stack software engineering or application development * Strong hands-on ...

Showing results 21-40

Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

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

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

What cities in Michigan are hiring for Databricks Software jobs?

Cities in Michigan with the most Databricks Software job openings:

Infographic showing various Databricks Software job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Full Stack Software Engineer

General Motors

Warren, MI • On-site

Full-time

Re-posted 6 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 308 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,327 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role:

As a senior engineer, you will help design, build, and safeguard the quality of applications across the GM's Product Validation, Safety & Quality IT (PVSQ) organization, which spans regulatory compliance, safety systems, and quality engineering used across vehicle programs. Depending on your strengths, you may lean toward building end-to-end features across the stack (Quarkus or Spring Boot services, a Next.js/React portal, a relational database, and a Databricks lakehouse) or toward the test automation and quality engineering that keep those systems reliable.

You will have the opportunity to work hands-on writing software or solutions, based on detailed requirements and system specifications. Using sound, repeatable, industry standard methodologies, you will support the PVSQ organization responsible for developing Nextgen applications. As part of development activities, we will update existing software and/or develop new software solutions to target specific business obstacles. A repeatable, systematic, and quantifiable approach to the development process will also be applied along with the use of appropriate methodologies.

As a coach/mentor, you will provide feedback on the software being developed to software developers. Ensure code alignment with design patterns/frameworks by working closely with architects and data scientists.

What You'll Do:

  • Design and maintain back-end microservices inJava (Quarkusor Spring Boot), exposing bothREST and GraphQLAPIs with well-defined, versioned contracts and shared DTOs.

  • Build responsive front-end features in theNext.js / Reactportal usingTypeScriptandApollofor GraphQL data access.

  • Develop and supportDatabricksdata workflows (Unity Catalog, Delta tables, and the medallion pattern) that feed regulatory reporting and dashboards.

  • Evolve the transactional relational schema (PostgreSQL or Oracle) safely, writing versionedLiquibasechangesets that ship through the same pipeline as application code.

  • Produce clean, well-documented, testable code that aligns with the team's design patterns, frameworks, and standards.

  • Conduct thorough code reviews and writeunit, integration, and end-to-end tests(TestNG, Selenium, cross-browser via BrowserStack) that gate every release.

  • Diagnose and resolve issues across services, the portal, and data pipelines, using observability tooling (Datadog / App Insights).

  • Work within the CI/CD pipeline (GitHub Actions, security scanning, promotion dev test prod) and help keepmainreleasable at all times.

  • Translate business and regulatory requirements into executable development work: break them down, shape the technical approach, and drive it through to delivery in partnership with stakeholders and BAs.

  • Lead and drive software design for scalability and reusability across the full stack, from the UI down to the database structure.

What You'll Need:

  • Bachelor's degree in Computer Science or a related field, or equivalent professional experience.

  • 7+ years building and shipping production software, with strong recent depth inJava / JVM(Quarkus or Spring Boot).

  • Demonstratedfull-stackcapability: comfortable owning a feature from aNext.js / React / TypeScriptfront end through a Java service to the data layer, not backend-only.

  • Proven ability to take a business requirement all the way to running software: owning the end-to-end design (UI through service to database structure) with scalability and reusability in mind, rather than only implementing predefined tickets.

  • Hands-on experience designing and operatingRESTful and GraphQL APIs, including contract/versioning discipline and API security best practices.

  • Solid experience with arelational database (PostgreSQLor Oracle)behind transactional services, using an ORM (Hibernate / JPA, ideally QuarkusPanache), and managing schema changes with a migration tool (Liquibase).

  • Working knowledge ofdata-lakehouse platformsfor the analytical/reporting side (Databricks / Delta / Unity Catalogstrongly preferred); ability to reason about data models, lineage, and access control.

  • Experience deploying and running services onAzure: containers (Docker),Kubernetes (AKS), and container registries.

  • Fluency withGit and GitHub-based CI/CD(GitHub Actions or equivalent): automated build, test, security scanning, and promotion pipelines.

  • Working knowledge ofInfrastructure as Code (Terraform)for provisioning and configuration.

  • Comfort defining and upholding technical/operational metadata standards, data-movement patterns, and ETL/ELT best practices.

  • Comprehensive understanding of the SDLC and experience inAgile / Scrumenvironments.

People Skills

  • Proven ability to lead development initiatives and drive design decisions, planning and executing deliverables within a collaborative team.

  • Independent, self-driven, and quick to learn, with strong, thorough problem-solving.

  • Highly organized and effective at managing multiple priorities in a fast-paced setting.

  • Exceptional written and verbal communication; able to translate regulatory and stakeholder requirements into actionable technical work and engage clearly with diverse audiences.

What Will Give You a Competitive Edge

  • Experience withApache Sparkand large-scale data processing on Databricks (DBX job orchestration).

  • Familiarity withchange-data-capturepatterns and tooling (e.g., HVR) feeding a medallion lakehouse.

  • Experience withGHAS(code/secret/dependency scanning),Wiz(container scanning), Dependabot, and secure-SDLC practices.

  • Experience withfeature-flagged, trunk-based deliveryand one-button/continuous release models.

  • Familiarity withAI-assisted developmentworkflows (e.g., Copilot, Cursor) and grounding agents with repo context (AGENTS.md/ cross-service dependency maps).

  • Background inregulated or compliance-driven domainswhere auditability and reporting deadlines are first-class concerns.

  • Experience with observability platforms (Datadog, Azure Application Insights).

This job may be eligible for relocation benefits.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

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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General Motors logo

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