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Databricks Software Jobs in Detroit, MI (NOW HIRING)

Stellantis

Full Stack Engineer

Auburn Hills, MI · On-site

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 ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Experience with Databricks notebook workflows * Experience with Terraform

General Motors

Senior Software Engineer (.NET )

Warren, MI · On-site +1

$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:

General Motors

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

The Role This role will focus on designing, developing, and supporting Databricks-based pipelines, medallion-layer data products, and enterprise integrations that enable analytics, reporting, and AI ...

General Motors

Staff Software Engineer

Warren, MI

Design and develop security-focused software solutions, tools, and automation frameworks ... Experience working with Databricks, Microsoft, or Google products * Experience with front-end ...

Stellantis

Full Stack Engineer

Auburn Hills, MI

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 ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

You will work at the intersection of software engineering and data science, ensuring that our data ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). * Data Modeling:

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

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

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

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

Stellantis

Cloud Software Engineer

Auburn Hills, MI

$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 ...

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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 Aug 8, 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 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 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 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

Full Stack Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 10 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

Role Overview
We are seeking a Senior Full Stack Engineer to design, develop, and support scalable enterprise applications across frontend, backend, cloud, and data platforms. 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 responsible for building robust user-facing applications, integrating backend services and data pipelines, and ensuring performance, reliability, and observability across the full technology stack. This role requires strong ownership, collaboration, and the ability to work across engineering, DevOps, data, and business teams.
Key Responsibilities
  • Design, develop, and maintain end-to-end full stack applications, including frontend UI components, backend APIs, and cloud-native services
  • Build responsive, reusable, and user-friendly frontend interfaces using modern UI frameworks, ensuring performance, accessibility, and consistency across applications
  • Develop and support backend services and APIs for application integration, business logic, and data access
  • Architect and manage cloud-based solutions using AWS services such as EC2, S3, Lambda, RDS, API Gateway, and related services
  • Integrate applications with Databricks and AWS-based data platforms to support data processing, analytics, and reporting use cases
  • Enable business reporting and insight generation by supporting integration with Power BI dashboards and data models
  • Implement monitoring, observability, and application health dashboards using Grafana and cloud monitoring tools
  • Collaborate in Agile teams using JIRA for sprint planning and tracking, and maintain technical documentation in Confluence
  • Work closely with DevOps, data engineering, QA, and business stakeholders to ensure smooth delivery of features and releases
  • Troubleshoot production issues, perform root cause analysis, and improve application reliability, scalability, and maintainability
  • Contribute to architectural decisions, coding standards, reusable frameworks, and engineering best practices
  • Mentor junior developers and support knowledge sharing across frontend, backend, and platform teams

Basic Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • A minimum of 5 years of overall experience
  • Experience in full stack software engineering or application development
  • Strong hands-on experience in frontend/UI development using modern frameworks such as React, Angular, or similar
  • Strong experience in backend development using Python, Java, Node.js, or similar technologies
  • Solid expertise in AWS cloud services including EC2, S3, Lambda, RDS, API Gateway, and IAM
  • Experience integrating applications with Databricks or similar cloud-based data platforms
  • Experience working with Power BI for reporting integration, dashboard enablement, or data model support
  • Hands-on experience with Grafana for monitoring, dashboard creation, and observability
  • Good understanding of REST APIs, microservices architecture, and application integration patterns
  • Strong knowledge of SQL, data access patterns, and backend-to-data platform integration
  • Experience working in Agile teams using JIRA and Confluence
  • Strong debugging, troubleshooting, and performance optimization skills

Preferred Requirements
  • Experience with containerization and orchestration using Docker and Kubernetes/OpenShift
  • 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
  • Exposure to Power BI administration or advanced dashboard integration
  • Knowledge of enterprise application security practices
  • Experience in automotive or enterprise-scale platforms
  • Exposure to Generative AI / RAG / LLM-enabled applications

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