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Databricks Developer Jobs in Michigan (NOW HIRING)

General Motors

Analytics Report Developer

Warren, MI · On-site

$44.25 - $60.75/hr

The Role A senior developer is needed to design and deliver Databricks-based executive reporting and a high-quality end-user experience for data access and consumption across GM's key strategic ...

General Motors

Analytics Report Developer

Warren, MI · On-site

$44.50 - $60.75/hr

The Role A senior developer is needed to design and deliver Databricks-based executive reporting and a high-quality end-user experience for data access and consumption across GM's key strategic ...

PMC

BI Developer

Farmington Hills, MI · On-site

... Databricks, Fabric, Power BI). This role will focus on developing modern BI solutions while ... Engineering teams to support Fabric Lakehouse and Warehouse solutions and Azure-based data ...

MindSource

Azure Developer

Ann Arbor, MI · On-site

$62/hr

Azure Developer Location: Georgia, Texas, Kansas Duration: 3+ Months Job Type: Temporary Assignment ... Build and manage data pipelines using Azure Data Factory, Databricks, and Apache Spark.

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 ...

General Motors

Data Engineer

Warren, MI · On-site

$107K - $128K/yr

... L developer, or integration engineer building production-grade data pipelines and data products. * Hands-on experience with Databricks for data engineering and analytics enablement, including:

General Motors

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

... L developer, or integration engineer building production-grade data pipelines and data products. * Hands-on experience with Databricks for data engineering and analytics enablement, including:

General Motors

Data Engineer

Warren, MI

$107K - $129K/yr

... L developer, or integration engineer building production-grade data pipelines and data products. * Hands-on experience with Databricks for data engineering and analytics enablement, including:

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 ...

Digitas

Manager, Data Engineering

Birmingham, MI · On-site

$88K - $121K/yr

Design, build, and maintain scalable ML pipelines using cloud services (e.g., Vertex AI, Databricks ... MLOps & DevOps: Familiarity with CI/CD, ML lifecycle management * API Development: Experience with ...

eTeam

Senior Azure Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Senior Azure Data Engineer Location: Ann Arbor, MI 48105 (Onsite) Duration: 09 Months Must Have ... Databricks Azure Data Factory PySpark Nice to Have Skills: SQL Gen AI Detailed The client is ...

INFT Solutions, Inc

DevOps Lead

Detroit, MI · On-site

$49 - $67.25/hr

Job Title: DevOps Lead Location: Dearborn, MI Essential Job Functions: Collaborate with Agile ... Databricks, networking, and container orchestration platforms in a repeatable and auditable manner.

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Jun 28, 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 company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

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 processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

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.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
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:
Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Michigan as of June 2026, with employment types broken down into 92% Full Time, 1% Part Time, 1% Temporary, and 6% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $111,478 per year, or $53.6 per hour.
Data Full stack Engineer - Workday ERP & Databricks

Data Full stack Engineer - Workday ERP & Databricks

Artech

Troy, MI • On-site

$50 - $53.03/hr

Other

Posted 22 days ago

Job description

Job Title: Data Full Stack Engineer - Workday ERP & Databricks
Location: Troy, MI
Duration: 6+ Months
Employment Type: W2 only
Salary range: $50 - $53.03
Job Summary
We are looking for a seasoned Data Full Stack Engineer who combines deep functional knowledge of Workday ERP (Finance and HCM) with strong hands-on expertise in the Databricks data platform. In this role, you will own the end-to-end data lifecycle from extracting and integrating Workday data through scalable pipelines, to building analytical assets that power business decisions across Finance and HR.
This role bridges ERP domain knowledge and modern data engineering, ensuring Workday data flows reliably into the Lakehouse architecture and is transformed into trusted, governed datasets ready for analytics and AI.
Must-Have Experience
  • Strong hands-on experience with Workday Financial Management modules:
    • General Ledger (GL)
    • Accounts Payable (AP)
    • Accounts Receivable (AR)
    • Customer Invoicing
    • Supplier & Customer Master Data
  • Proven experience with Workday Reporting:
    • RaaS (Reports-as-a-Service)
    • Custom reports
    • Calculated fields
    • WQL (Workday Query Language)
  • Solid Workday integration experience using:
    • REST APIs
    • SOAP APIs
    • Security/authentication handling
    • Incremental data extracts
  • 3+ years of Databricks experience:
    • PySpark
    • Spark SQL
    • Delta Lake
  • Strong SQL and Python skills
  • Experience with enterprise-scale data modeling
  • Experience with cloud platforms, preferably Azure

Key Responsibilities
Workday Integration & Data Extraction
  • Design and build integrations to extract data from:
    • Workday Financial Management
    • Workday HCM modules
  • Develop and maintain custom reports using:
    • RaaS
    • WQL
    • SOAP/REST APIs
  • Configure and manage:
    • Integration System Users (ISUs)
    • Security groups
    • OAuth 2.0 API clients
  • Implement incremental sync patterns, monitoring, and error handling

Databricks Data Platform
  • Build and optimize scalable ETL/ELT pipelines using:
    • PySpark
    • Spark SQL
    • Delta Lake
  • Design and implement Bronze / Silver / Gold Lakehouse architecture
  • Develop data models for analytics, reporting, and machine learning
  • Leverage Databricks Unity Catalog for:
    • Governance
    • Lineage
    • Compliance
  • Optimize workloads for:
    • Performance
    • Cost efficiency
    • Reliability

Analytics & Business Enablement
  • Build curated datasets and Gold-layer views for:
    • Finance analytics
    • HR analytics
  • Collaborate with analysts and data scientists
  • Develop dashboards/reporting integrations using:
    • Power BI
    • Tableau
  • Maintain documentation:
    • Data pipelines
    • Data dictionaries
    • Integration specifications

Required Skills
  • Deep understanding of Workday Finance data structures and reporting concepts
  • Expertise in:
    • Workday Reporting
    • RaaS
    • WQL
    • Workday integrations
  • Strong Databricks expertise:
    • PySpark
    • Spark SQL
    • Delta Lake
  • Advanced SQL and Python skills
  • Data governance, security, and access management understanding
  • Experience in ETL/ELT best practices in cloud environments

Company Benefits & Culture
  • Inclusive and diverse work environment
  • Opportunities for professional growth and development
  • Comprehensive health and wellness benefits

Application
Email your resume to: Vibhor.babbar@artech.com
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About Artech

Sourced by ZipRecruiter

Artech is a leading IT staffing and consulting company based in Morristown, NJ, US. Since its foundation in 1992, Artech has mastered in complementing human expertise with technology and business acumen to produce world-class staffing solutions. The company caters to diverse industry sectors, including financial services, healthcare, telecommunication, energy and utilities, supply chain, and retail. It provides IT consulting, project management, professional and staff augmentation, and managed staffing services. Artech's mission is to provide exceptional IT staffing services to its clients by comprehending their business needs and then crafting a customized staffing strategy. Its notable achievement includes being recognized as one of the largest IT staffing companies in the U.S, according to Staffing Industry Analysts (SIA).

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

Morristown, NJ, US

Year founded

1992

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