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Databricks Developer Jobs in Michigan (NOW HIRING)

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 ...

AI Engineering Leadership: * Define best practices for AI solution design, deployment, and ... Ensure AI solutions effectively leverage enterprise data pipelines (e.g., Databricks). * Feature ...

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ... Job Title: Senior Data Engineer Location: Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED ...

Data Engineer

Auburn Hills, MI · On-site

$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 ...

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... and Databricks Genie Spaces use cases. - Partner with technical team members and business ...

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... and Databricks Genie Spaces use cases. - Partner with technical team members and business ...

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... and Databricks Genie Spaces use cases. - Partner with technical team members and business ...

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics. * Perform data ... in data engineering with a focus on Azure-based solutions. * Strong experience with Azure Data ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Advanced knowledge of SQL for data transformation, analysis, and performance tuning. * DevOps & ... Experience with Databricks notebook workflows * Experience with Terraform

Data Engineer

Troy, MI · On-site

$107K - $128K/yr

Data Engineer Location: Troy, MI(Onsite) Duration: 12-18 Months Job Summary: We are seeking a Data ... Exposure to Azure Databricks is a plus. Strong analytical, troubleshooting, and communication ...

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics. Perform data transformation ... in data engineering with a focus on Azure-based solutions. Strong experience with Azure Data ...

$93K - $122K/yr

... Databricks or Databricks Genie Spaces. -Experience with model-serving endpoints or managed AI services. -Experience with prompt engineering, orchestration patterns, or AI workflow automation ...

... Databricks, helping the team evolve toward advanced capabilities, including AI-enhanced insights ... data engineering position - not a dashboard/reporting development role. As Stellantis operates ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Advanced knowledge of SQL for data transformation, analysis, and performance tuning. • DevOps & ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

Configures, validates, and implements various Azure tools such as but not limited to Databricks ... Experience with CI/CD processes and Azure DevOps * Ability to effectively manage multiple and ...

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Databricks Developer information

See Michigan salary details

$18

$53

$69

How much do databricks developer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for databricks developer in Michigan is $53.60, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $59.28 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

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

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
What are the most commonly searched types of Databricks Developer jobs in Michigan? The most popular types of Databricks Developer jobs in Michigan are:
What are popular job titles related to Databricks Developer jobs in Michigan? For Databricks Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Michigan look for? The top searched job categories for Databricks Developer jobs in Michigan are:
Infographic showing various Databricks Developer job openings in Michigan as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $111,478 per year, or $53.6 per hour.

$120K/yr

Full-time

Re-posted 2 days ago


Job description

Working at Freudenberg: We will wow your world!
Responsibilities:
  • 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 sources.
  • Deliver trusted, analytics-ready data products including curated datasets and feature-ready tables.
  • Productionize Databricks solutions (workflows, Unity Catalog, Delta tables, SQL Warehouses) with strong reliability.
  • Implement automated data quality, validation, and secure access patterns across pipelines.
  • Optimize performance and cost while modernizing legacy data flows into cloud-native architectures.
  • Partner with business, IT, and data teams to deliver high-impact, data-driven solutions.

Qualifications:
  • Degree in Computer Science, Data Engineering, or related field (or equivalent experience).
  • Proven experience building and running production data pipelines and data products.
  • Strong Python, PySpark, Spark SQL, and SQL skills.
  • Hands-on experience with Databricks (Delta Lake, Unity Catalog, Jobs/workflows, SQL Warehouses).
  • Familiarity with cloud data platforms (Azure preferred; ADLS, Blob, Key Vault, RBAC or similar).
  • Experience with data testing, validation, and quality frameworks.
  • Strong collaboration and communication skills with a practical, solution-oriented mindset.

From $120,000 Compensation for this position will be determined by the candidate's qualifications, experience, education, and overall alignment with the role's responsibilities.
The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.
Freudenberg-NOK General Partnership