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Commission Databricks Data Engineer Jobs in Wayne, MI

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Experience with Databricks notebook workflows * Experience with Terraform

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Whisker

Data Engineer

Auburn Hills, MI · 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 ...

Whisker

Data Engineer

Auburn Hills, MI · 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 ...

Whisker

Data Engineer

Auburn Hills, MI

$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 ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Databricks * Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Freudenberg

Data Engineer

Plymouth, MI · On-site

$109K - $130K/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

$109K - $130K/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 · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Databricks * Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power ...

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Showing results 1-20

All JobsDatabricks Data Engineer JobsCommission Databricks Data Engineer JobsCommission Databricks Data Engineer Jobs in Wayne, MI

Commission Databricks Data Engineer information

See Wayne, MI salary details

$40.2K

$117.2K

$160.4K

How much do commission databricks data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for commission databricks data engineer in Wayne, MI is $117,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $124,200.00 per year, depending on experience, location, and employer.

What is the difference between Commission Databricks Data Engineer vs Commission Data Engineer?

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

What cities near Wayne, MI are hiring for Commission Databricks Data Engineer jobs?

Cities near Wayne, MI with the most Commission Databricks Data Engineer job openings:

Commission Databricks Data Engineer jobs near you

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 17 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time. You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices.
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:
  • Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
  • Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
  • Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
  • CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
  • Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
  • Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.

Basic Qualifications:
  • Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline
  • A minimum of 5 years of experience in the data engineering and software development life cycle. Including:
    • A minimum of 4 years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
    • A minimum of 4 years of hands-on experience working with AWS cloud services
  • Comprehensive experience with one or more programming languages such as Python, Java, or Rust
  • Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
  • Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
  • Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
  • Experience with designing and implementing real-time pipelines
  • Experience with data quality and validation
  • Experience with API design
  • Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
  • Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
  • SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
  • DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
  • Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying "Clean Code" principles to data engineering.
  • Stream Processing: Experience with Apache Flink for low-latency stream processing.
  • Scripting: Proficiency in Python for automation, data analysis, or scripting.
  • Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
  • Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.

Preferred Qualifications:
  • Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
  • Expert knowledge and experience with custom ETL design, implementation and maintenance
  • Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
  • Certification in AWS or other cloud providers
  • Experience with Databricks notebook workflows
  • Experience with Terraform

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