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Databricks Jobs in Michigan (NOW HIRING)

Data Engineer

Detroit, MI ยท 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 ...

Data Engineer

Detroit, MI ยท 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 ...

Data Engineer

Plymouth, MI ยท 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 ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision ...

Data Engineer

Plymouth, MI ยท 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 ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to design, build, and optimize scalable data pipelines and platforms that power analytics and decision ...

Experience working with big data in a cloud environment , particularly Azure and Databricks . * Hands-on expertise with Power BI (Power BI Pro preferred) and Cognos . * Proficient in writing advanced ...

Data Engineering Manager

Warren, MI

$107K - $129K/yr

If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you. You are a ...

AI Specialist

Pontiac, MI ยท On-site

$80/hr

Apache Spark, Databricks, Jupyter Notebooks * Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks) * Databases: SQL, NoSQL * Data Visualization: Tableau, PowerBI ...

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 ...

Experience with big data technologies including Apache Spark and Databricks. Experience developing AI solutions using cloud platforms such as AWS (SageMaker, EC2, S3) and/or Microsoft Azure (Machine ...

Experience with big data technologies including Apache Spark and Databricks. Experience developing AI solutions using cloud platforms such as AWS (SageMaker, EC2, S3) and/or Microsoft Azure (Machine ...

Showing results 21-40

Databricks information

See Michigan salary details

$20.5K

$32.9K

$44.5K

How much do databricks jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks in Michigan is $32,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,200.00 and $36,200.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Michigan?

The most popular types of Databricks jobs in Michigan are:

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

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

What cities in Michigan are hiring for Databricks jobs?

Cities in Michigan with the most Databricks job openings:

Infographic showing various Databricks job openings in Michigan as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $32,871 per year, or $15.8 per hour.

$113K - $135K/yr

Full-time

Re-posted 13 days ago


Job description

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for someone to work closely with stakeholders on low code data engineering solutions.

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 is a full-time, direct hire role.

Salary: Up to 113K DOE!

Location: Detroit, Hybrid

Ideal candidate will have:

  • 3+ years in stakeholder-facing Data Engineering/Data Analytics position
  • Consulting experience
  • Databricks, Foundry, or Snowflake
  • Python, PySpark, TypeScript, ETL, dashbords

Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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