ZipRecruiter

Log In

1

Databricks Engineer Jobs in Michigan (NOW HIRING)

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 ...

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A ... Ideal candidate will have: * 1+ years in stakeholder-facing Data Engineering/Data Analytics ...

HTC Global Services

Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience ...

HTC Global Services

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience ...

HTC Global Services Inc

Data Engineer

Grand Rapids, MI · On-site

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience, specifically ADF, Databricks, Synapse, and Cosmos DB. Hands-on SQL/Python/Scala skills and experience ...

Kiongroup

Senior Data Engineer

Grand Rapids, MI · On-site

$133K - $204K/yr

We are seeking a dynamic and highly skilled Senior Data Engineer who has extensive experience ... Azure (ADLS) and Databricks are strong pluses. * Hands-on experience with Databricks (Delta Lake ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Databricks * Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power ... Automotive industry experience, particularly in cost engineering, manufacturing, or product ...

Freudenberg

Data Engineer

Plymouth, MI

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$120K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Stellantis

Data Engineer

Auburn Hills, MI

$113K - $135K/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

... Azure Databricks, networking, and container orchestration platforms in a repeatable and auditable manner. • Design and implement team-specific CI/CD pipelines in Azure DevOps that account for ...

next page

Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Michigan

Databricks Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do databricks engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for databricks engineer in Michigan is $97,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $115,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Michigan? For Databricks Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Michigan look for? The top searched job categories for Databricks Engineer jobs in Michigan are:
What cities in Michigan are hiring for Databricks Engineer jobs? Cities in Michigan with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Michigan as of June 2026, with employment types broken down into 40% Full Time, 20% Part Time, and 40% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $97,298 per year, or $46.8 per hour.
IT - Senior Consultant | Cloud Integration | Azure Data Factory (ADF)

IT - Senior Consultant | Cloud Integration | Azure Data Factory (ADF)

Spruce Infotech

Ann Arbor, MI • On-site

$57.25 - $78/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

POC: Sam Chavez
ATTENTION ALL SUPPLIERS!!!
READ BEFORE SUBMITTING
• UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
• Limited to 1 submission per supplier. Please submit your best.
• We prioritize endorsing those with complete and accurate information
• Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
• Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
• Please submit profiles within the max proposed rate.
• Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.
MANDATORY: Please include in the resume the candidate's complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.
Job Title: Senior Consultant | Cloud Integration | Azure Data Factory (ADF) - Databricks Developer
Work Location & Reporting Address: Ann Arbor, MI 48105 (Full Onsite. Will consider candidates willing to relocate to client's location)
Contract duration: 9
MAX VENDOR RATE: XXX per hour max
Target Start Date: 19 Jun 2026
Does this position require Visa independent candidates only? No. VD candidates will be considered
Must Have Skills:
• Databricks
• Azure Data Factory
• PySpark
Nice to Have Skills:
• SQL
• Gen AI
Detailed Job Description:
• The client is looking for a seasoned professional who can design scalable data solutions, lead governance and security, and collaborate with stakeholders while driving innovation.
• Expertise in Azure, Databricks, Spark, Python, SQL, and enterprise grade solution implementation is essential.
Minimum Years of Experience:
• 9+ years
Certifications Needed:
• None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required?)
• Virtual
Any additional information you would like to share about the project specs/nature of work:

Apply