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Databricks Engineer Jobs in Michigan (NOW HIRING)

Sun Communities, Inc.

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 one or more object-oriented programming languages such as Python, C#, Java or ...

Sun RV Resorts

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 one or more object-oriented programming languages such as Python, C#, Java or ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Snowflake, AWS, or Azure, Databricks, Palantir Foundry, SQL, Microsoft Power Platform (Power Apps ... engineering, manufacturing, or product development. • Experience with agentic AI chatbot ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

We're looking for a Principal Data Engineer to own the technical direction and execution of our ... Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ...

Apex Systems

Data Engineer

Warren, MI

$107K - $128K/yr

Technical Skills: * Knowledge of Data Engineering with DataBricks, Hadoop, and Spark SQL ... Proficiency with PowerBI and Cognos visualization tools. Preferred Qualifications * Experience with ...

New

General Motors

Senior Ad Ops Engineer

Lansing, MI · On-site

$129K - $198K/yr

... Databricks, Snowflake, Kafka, dbt, or Airflow • Experience architecting solutions in cloud ... production-ready engineering solutions What Will Give You A Competitive Edge (Preferred ...

General Motors

Cost Engineer - Data Analytics

Warren, MI · On-site

$107K - $129K/yr

The ideal candidate has deep experience in data engineering, ETL/ELT, database and table management ... Experience with Databricks, Spark, and/or other cloud-based data platforms for large-scale data ...

General Motors

Cost Engineer - Data Analytics

Warren, MI · Hybrid

$107K - $129K/yr

The ideal candidate has deep experience in data engineering, ETL/ELT, database and table management ... Experience with Databricks, Spark, and/or other cloud-based data platforms for large-scale data ...

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Databricks Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do databricks engineer jobs pay per year?

As of Jun 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 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, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.

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 May 2026, with employment types broken down into 100% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $97,298 per year, or $46.8 per hour.
Senior Data Engineer

Senior Data Engineer

Sun Communities, Inc.

Southfield, MI • On-site

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Sun Communities rating

5.9

Company rating: 5.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

130th of 153 rated real estate companies

Job description

Career Site Header
Job Summary
The Senior Data Engineer is a key resource in building and maintaining a modern enterprise data lake and data warehouse in Sun's Azure data platform. They will facilitate modern data platform processes and procedures for Sun and will establish robust data governance and management best practices. The Sr. Data Engineer works under the leadership of the Manager, Data Architecture to ensure core enterprise data objectives are accounted for in the design and implementation of the data platform infrastructure. Further, they will liaison with key business leadership and stakeholders to ensure that the design, validation, and implementation of the new data platform infrastructure meets the needs of Sun's business.
Job Duties
  • Builds and maintains Azure data platform for Sun including enterprise data lake and data warehouse in alignment with Sun's strategic objectives and organizational goals (Essential)
  • Incorporates Azure data platform best practices into Sun's Azure data platform (Essential)
  • Develops policies and implements mechanisms for data ingestion into Azure data platform from various sources (Essential)
  • Supports & mentors the data team on best practices & methodologies (Essential)
  • Leads navigating challenging or technical situations to find best business outcomes (Essential)
  • Works with Microsoft support to ensure an ongoing stable data system.
  • Configures, validates, and implements various Azure tools such as but not limited to Databricks, Data Factory, Data Lake, Synapse Analytics and Data Catalog as appropriate
  • Works with the Manager, Data Architecture to define and implement robust data governance, certification, and management policies and mechanisms
  • Converts functional requirements into technical specifications; creates technical documentation as needed
  • Develops and maintains relationships with vendors
  • Assists in maintaining business documentation for the data and data structure in the data warehouse
  • Other duties as assigned
  • Configures APIs for data extraction
  • Creates and organizes Data Lake and Azure Synapse serverless objects to optimize performance
  • Actively collaborates with the business intelligence team, business teams, project teams, and others to understand data requirements, integration needs, constraints, and performance requirements

Requirements
  • Bachelor's Degree in Computer or Data Science, Data Analytics, Statistics, or Information Management (Required)
  • 3 years in experience designing and building enterprise data lake (Required)
  • 5 years in experience designing and building an enterprise data warehouse (Required)
  • 5 years of experience in modern data platforms based on Azure including but not limited to Azure Data Lake, Azure Data Factory, Azure Databricks, Synapse Analytics (Required)
  • Proficient in creating data factory pipelines; copy activity, custom Azure development, custom databricks development (Required)
  • Experience with ELT and ETL processes (Required)
  • Advanced SQL experience and organizing database for query performance (Required)
  • Experience with one or more object-oriented programming languages such as Python, C#, Java or JavaScript (Required)
  • Experience using big data file formats and compression techniques
  • Experience with CI/CD processes and Azure DevOps
  • Ability to effectively manage multiple and competing priorities in a dynamic and fast-paced environment
  • Exceptional organizational skills
  • Strong attention to detail
  • Ability to work well with others inside as well as outside the organization
  • Excellent verbal and written communication skills

BENEFITS
At Sun Communities, you will be part of an industry-leading organization where you will be challenged, inspired, rewarded and transformed. We place a high priority on our team members, and this is a big part of what sets us apart. We will ask you to give us your very best every day, and will challenge you with interesting work, stretch assignments, a collaborative and supportive work environment and plenty of learning and growth. In exchange, we will reward you with great pay, advancement opportunities, paid time off, great benefits, and flexibility.
  • Comprehensive Medical and Prescription coverage with 4 plan options so you can choose the plan that best meets the needs of you and your family
  • Comprehensive Dental and Vision Plans
  • On-Site Fitness Center
  • Voluntary Health and Dependent Care Reimbursement Accounts
  • Life, Accidental Death & Dismemberment Insurance and Dependent Life
  • Short and Long-Term Disability Coverage
  • 401(k) Plan with Sun matching contribution
  • Employee Assistance Program
  • Identity Theft Insurance
  • Legal Assistance Plan
  • Pet Insurance
  • Tuition Reimbursement program providing financial support to team members who further their formal education
  • Vacation RV Site Discounts for team members when visiting SunRV Resorts across the nation
  • Team Member Perks & Discounts program with hundreds of discounts on things like travel, merchandise, mobile phone service, and more
  • Up to six weeks of paid parental leave for the birth of a child, adoption, or placement of a child
  • Paid Time Off including ten holidays, vacation, personal, sick time, bereavement and pay for jury duty

Apply for a Corporate Headquarters (HQ) position, located in the Metro Detroit, Michigan market today.
Join our Talent Community and explore Corporate Headquarters jobs at Sun Communities.
ACCESSIBILITY ASSISTANCE
If you are an individual with a disability and need assistance completing an online application, please contact us at (844) SUN-4343. Alternatively, an email may be sent to careers@suncommunities.com. "Applicant Accommodation" should be included in the subject line of the email.
Please note that this phone number and email address are only for those individuals who would like to request an accommodation to apply for a job.
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