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Trainee Databricks Data Engineer Jobs in Michigan

$104K - $125K/yr

... Databricks or Snowflake. - Experience working with manufacturing, production, industrial ... Data Engineering, technical subject-matter expertise, AI/ML, or future technical leadership ...

Senior Data Engineer

Grand Rapids, MI · On-site

$97K - $121K/yr

Databricks Lakebase, Azure Event Hubs, Azure Stream Analytics). * Implement an enterprise data ... Azure DevOps). Minimum Qualifications * At least 3 years of full-time experience in US as Data ...

Senior Data Engineer

Grand Rapids, MI · On-site

$120K - $140K/yr

Databricks Lakebase, Azure Event Hubs, Azure Stream Analytics). * Implement an enterprise data ... Azure DevOps). Minimum Qualifications * At least 3 years of full-time experience in US as Data ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

$104K - $125K/yr

What would be helpful? - Experience with Databricks, Snowflake, Delta Lake, Parquet, Iceberg ... Data Engineering delivery. - Direct influence over data architecture, platform strategy ...

$104K - $125K/yr

What would be helpful? - Experience with Databricks, Snowflake, Delta Lake, Parquet, Iceberg ... Data Engineering projects with direct impact on manufacturing and business operations.- Exposure to ...

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

... Senior Data Engineer to join our team. This role will involve designing, developing, and ... The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ...

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.

Staff Data Engineer

Warren, MI · Hybrid

$107K - $129K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure ... Extensive experience designing and optimizing batch and streaming data pipelines using Databricks ...

New

Staff Data Engineer

Warren, MI · On-site

$107K - $129K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure ... Extensive experience designing and optimizing batch and streaming data pipelines using Databricks ...

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and ... Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent

Showing results 21-40

Trainee Databricks Data Engineer information

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Michigan?

The most popular types of Databricks Data Engineer jobs in Michigan are:

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For Trainee Databricks Data Engineer jobs in Michigan, the most frequently searched job titles are:

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Cities in Michigan with the most Trainee Databricks Data Engineer job openings:

Data Engineer - Vehicle Configuration Optimization

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

13th of 45 rated automakers


Job description

We are seeking a Data Engineer to help build and scale the data foundation for our Vehicle Configuration Optimization (VCO) initiative. This role will focus on ingesting, transforming, and structuring data from enterprise systems (e.g., Snowflake data lake) into Databricks, enabling advanced analytics and modeling downstream.
This is an ideal role for an engineer who thrives in building reliable, scalable data systems and wants to work at the intersection of automotive data and advanced analytics.
Key Responsibilities:
  • Build and maintain data pipelines that ingest data from Snowflake into Databricks
  • Design and implement data transformations aligned to the medallion architecture (Bronze/Silver/Gold layers)
  • Ensure pipeline health, stability, monitoring, and performance optimization
  • Develop robust ETL/ELT workflows using Python and SQL
  • Create clean, curated datasets to support analytics, simulation, and machine learning use cases
  • Partner closely with data scientists, analysts, and business stakeholders to understand data needs
  • Implement data quality checks, validation processes, and governance standards

Basic Qualifications:
  • Bachelor's Degree
  • Minimum 5 years of experience in data engineering or similar role
  • Exposure to automotive price and product datasets
  • Strong hands-on experience with Databricks (critical requirement)
  • Proficiency in SQL and Python
  • Experience building and maintaining data pipelines and ETL processes
  • Familiarity with cloud data platforms
  • Solid understanding of data modeling and medallion architecture concepts

Preferred Qualifications:
  • Experience with Snowflake and data lake architectures
  • Experience with Spark / PySpark
  • Familiarity with pipeline orchestration and monitoring tools
  • Understanding of downstream analytics or ML use cases

What Stellantis employees say

Pay

Benefits

Hours and flexibility

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