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Databricks Software Jobs in Detroit, MI (NOW HIRING)

Freudenberg

Data Engineer

Plymouth, MI

$109K - $130K/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

$109K - $130K/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

$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 ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full-stack software engineering roles, in which employees develop all components of software ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full-stack software engineering roles, in which employees develop all components of software ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Full-stack software engineering roles, in which employees develop all components of software ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full-stack software engineering roles, in which employees develop all components of software ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full-stack software engineering roles, in which employees develop all components of software ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow

Stefanini

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Full-stack software engineering roles, in which employees develop all components of software ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow ...

Maddisoft

AI Specialist

Rochester, MI · On-site

Experience working in Agile software development environments. Ability to collaborate effectively ... Apache Spark, Databricks Cloud Platforms: AWS (SageMaker, EC2, S3), Microsoft Azure (Machine ...

Maddisoft

AI Specialist

Rochester, MI · On-site

Experience working in Agile software development environments. Ability to collaborate effectively ... Apache Spark, Databricks Cloud Platforms: AWS (SageMaker, EC2, S3), Microsoft Azure (Machine ...

Stellantis

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 ...

Ilitch

Applied AI Engineer

Detroit, MI

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 ...

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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 9, 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

Data Engineer - Vehicle Configuration Optimization

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Posted 18 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

We are seeking a Data Engineer to help build and scale the data foundation for our Vehicle Configuration Optimization (VCO) initiative. This role will focus on ingesting, transforming, and structuring data from enterprise systems (e.g., Snowflake data lake) into Databricks, enabling advanced analytics and modeling downstream.
This is an ideal role for an early-to-mid career engineer who thrives in building reliable, scalable data systems and wants to work at the intersection of automotive data and advanced analytics.
Key Responsibilities:
  • Build and maintain data pipelines that ingest data from Snowflake into Databricks
  • Design and implement data transformations aligned to the medallion architecture (Bronze/Silver/Gold layers)
  • Ensure pipeline health, stability, monitoring, and performance optimization
  • Develop robust ETL/ELT workflows using Python and SQL
  • Create clean, curated datasets to support analytics, simulation, and machine learning use cases
  • Partner closely with data scientists, analysts, and business stakeholders to understand data needs
  • Implement data quality checks, validation processes, and governance standards

Basic Qualifications:
  • Minimum 5 years of experience in data engineering or similar role
  • Bachelors Degree
  • Strong hands-on experience with Databricks (critical requirement)
  • Proficiency in SQL and Python
  • Experience building and maintaining data pipelines and ETL processes
  • Familiarity with cloud data platforms (Azure preferred, but AWS/GCP acceptable)
  • Solid understanding of data modeling and medallion architecture concepts

Preferred Qualifications:
  • Experience with Snowflake and data lake architectures
  • Exposure to automotive, connected vehicle, or IoT datasets
  • Experience with Spark / PySpark
  • Familiarity with pipeline orchestration and monitoring tools

Understanding of downstream analytics or ML use cases

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