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Databricks Software Jobs in Detroit, MI (NOW HIRING)

General Motors

Senior Software Engineer (.NET )

Warren, MI · On-site

$115K - $151K/yr

We are seeking an experienced Senior Software Engineer ( .NET ) to join our team. In this role, you ... Experience in Azure Databricks, Data Mesh architecture This job may be eligible for relocation ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Uphold rigorous software engineering standards, including comprehensive unit/integration testing ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important. This is ...

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important. This is ...

Freudenberg

Data Engineer

Plymouth, MI

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake. * Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based ...

Rivian

Staff Vehicle Program Planner

Plymouth, MI · On-site

$102K - $127K/yr

Build planning tooling & models -- Develop in Python / Databricks; prototype and pilot AI-assisted planning; partner with internal software teams to productize what works. * Shape advanced planning ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$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 ...

Staffingine LLC

Lead DevOps Engineer

Detroit, MI · On-site

$52.25 - $71.50/hr

... secure software development lifecycle and automated cloud infrastructure aligned with Agile ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner ...

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All JobsDatabricks Software JobsDatabricks Software Jobs in Detroit, MI

Databricks Software information

See Detroit, MI salary details

$47.5K

$110.7K

$164.3K

How much do databricks software jobs pay per year?

As of Jul 14, 2026, the average yearly pay for databricks software in Detroit, MI is $110,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $128,700.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

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.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

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 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 exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

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 Detroit, MI? For Databricks Software jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Detroit, MI look for? The top searched job categories for Databricks Software jobs in Detroit, MI are:
Databricks Software jobs near you
Senior Software Engineer (.NET )

Senior Software Engineer (.NET )

General Motors

Warren, MI • On-site

$115K - $151K/yr

Full-time

Re-posted 6 days ago

General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 309 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers

Job description

Job Description
The Role:
We are seeking an experienced Senior Software Engineer (.NET ) to join our team. In this role, you will lead the design, development, testing, and maintenance of high-performance, scalable, and secure software systems. The ideal candidate will also have hands-on experience with AI agentic workflows, LLM-based automation, retrieval-augmented generation, and intelligent workflow orchestration. You will collaborate with cross-functional teams to deliver innovative solutions that support Human Resources, Communications, and Physical Security IT business applications.
What You'll Do:
  • Lead the design, development, and maintenance of full stack solutions using .NET technologies
  • Translate business requirements into effective, scalable, and reliable technical solutions
  • Build AI-powered agents that retrieve context, reason across multiple data sources, recommend actions, and support human-in-the-loop automation
  • Participate in sprint planning, refine stories, and provide accurate estimations for development timeline
  • Deliver clean, maintainable code aligned with best practices and modern design patterns
  • Develop and execute unit test cases with high code coverage
  • Mentor and coach Junior engineers, conduct code and design reviews
  • Troubleshoot complex issues, perform root cause analysis, and implement long-term fixes
  • Support CI/CD workflows and ensure continuous improvement in build and release process
  • Model and foster GM's core values and behaviors

What You'll Need:
  • 8+ years of professional experience in software development with a focus on .NET Core
  • Minimum 3+ years of experience in leading the software engineering team
  • Proven expertise in deploying modern design patterns and building scalable, reusable code
  • Experience building AI/LLM-based applications, preferably with agentic workflows
  • Strong understanding of RAG architecture, embeddings, vector search, prompt design, context retrieval and LLM evaluation
  • Experience with Model Context Protocol (MCP) for integrating AI agents with tools, data sources, and enterprise systems
  • Experience with queuing and background jobs orchestration with .Net hosted services
  • Experience with Azure Infrastructure to deploy, configure and troubleshooting (IaC pipelines, Site Reliability Engineering, DevOps)
  • Ability to develop and deploy microservices on AKS
  • Strong proficiency in Angular for front-end development
  • Experience in building and scaling backend services across hybrid environments (on prem and cloud)
  • Ability to configure docker files for containerization.
  • Maintain ETL pipelines using Azure Synapse to ingest and deliver data to downstream systems.
  • Hands-on experience with RESTful API design and integration services that connect enterprise systems like Workday, Microsoft identity services (Azure AD/ Entra ID, Microsoft Graph)
  • Experience with relational databases such as PostgreSQL and SQL Server, including stored procedures
  • Proficiency in version control systems (Git) and maintain CI/CD pipelines using GitHub actions
  • Experience with Agile methodologies and tools such as Jira and Confluence
  • Excellent problem-solving skills, with an ability to work on complex distributed systems

Preferred Skills:
  • Experience with AI agent frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar Orchestration frameworks
  • Familiarity with AI governance, model risk, hallucination mitigation, guardrails, evaluation metrics, and human approval workflows
  • Knowledge of HR/Workday business processes is highly preferred
  • Experience with containerization and orchestration tools (Docker, Kubernetes)
  • 3+ years with Azure Kubernetes Service (AKS) application development
  • Knowledge of .NET framework upgrades and modernization strategies
  • Experience with GitHub actions and CI/CD automation
  • Strong background in Monitoring and Observability practices
  • Experience in Azure Databricks, Data Mesh architecture

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, 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

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