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Trainee Databricks Data Engineer Jobs in Michigan

Stellantis

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.

Stellantis

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

Stefanini

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow ...

Pwc

GenAI Python Systems Engineer-Manager

Grand Rapids, MI · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Apex Systems

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Full-stack software engineering roles, who can develop all components of software including user ... Azure Data Factory, Databricks; Google BigQuery, Dataflow). * Strong understanding of data ...

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Pwc

GenAI Python Systems Engineer -Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Stryker

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Define and evolve enterprise data architecture patterns across Azure and Databricks environments ... Own end-to-end delivery of complex data engineering initiatives from requirements through ...

Stryker

Senior Staff Data Engineer

Portage, MI · On-site +1

$255K/yr

Define and evolve enterprise data architecture patterns across Azure and Databricks environments ... Own end-to-end delivery of complex data engineering initiatives from requirements through ...

Stryker

Senior Staff Data Engineer

Portage, MI · On-site

$153K - $255K/yr

Define and evolve enterprise data architecture patterns across Azure and Databricks environments ... Own end-to-end delivery of complex data engineering initiatives from requirements through ...

Stryker

Senior Staff Data Engineer

Portage, MI · On-site

$153K - $255K/yr

Define and evolve enterprise data architecture patterns across Azure and Databricks environments ... Own end-to-end delivery of complex data engineering initiatives from requirements through ...

Stellantis

Senior Data Engineer

Auburn Hills, MI

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role helps engage business, engineering and ICT stakeholders around practical data needs and ... Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI

$102K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric, Databricks, Python development, and modern business intelligence solutions. The successful ...

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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.

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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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Trainee Databricks Data Engineer jobs near you

Senior Data Engineer

Stellantis

Auburn Hills, MI • On-site

$100K - $136K/yr

Full-time

Re-posted 5 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

About the Role
Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality routines and traceability, and pioneer more robust data-engineering practices that make solutions easier to trust, operate and industrialize.
Your Missions:
Data Modelling, Pipelines & Reuse:
  • Design, improve or govern selected data models, transformation logic and pipeline components that support AI and analytics use cases
  • Promote maintainable structures, reusable components and clear lineage across transformations where relevant
  • Support delivery teams with practical data-engineering discipline rather than one-off technical builds

Platform, Integration & Traceability:
  • Clarify selected source-to-platform pathways, integration dependencies and technical constraints affecting delivery
  • Help maintain visibility on traceability, handoffs and access conditions across Supply Chain
  • Work with ICT and engineering stakeholders to keep the build path practical and scalable

Data Quality, Certification & Governance Support:
  • Contribute to selected quality checks, certification routines, governance expectations or compliance-related traceability needs depending on the scope assigned
  • Help surface structural data issues, documentation gaps or control weaknesses that affect deployment readiness
  • Support a trusted delivery environment by making data assets more visible, understandable and supportable

Your Profile:
  • Strong data-engineering experience in modern enterprise environments, with depth in some combination of data modelling, pipelines, integration, quality, lineage or governance-related topics
  • Able to operate across business needs, technical constraints and delivery realities
  • Strong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environments
  • Comfortable working with multiple stakeholders across architecture, data, engineering and governance topics
  • Structured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scope

Skills You'll Grow:
  • Broader exposure across the different building blocks that make AI-ready data operational at scale
  • Experience working at the intersection of data engineering, integration, quality and delivery governance
  • Opportunity to deepen expertise in a specific component while contributing to a wider AI data foundation agenda

Why Join / Impact:
  • Work on data-engineering challenges directly tied to real AI deployment in Supply Chain
  • Join a role broad enough to offer variety, while still allowing focused ownership on a defined perimeter
  • Help strengthen the data foundations that make scalable AI delivery possible

Basic Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field
  • 8 years of experience in data engineering or data platforms
  • Previous Supply Chain experience
  • Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
  • Experience with data pipelines, integration, semantic, lineage, architecture and platform environments
  • Enterprise-scale data transformation and delivery experience
  • Ability to collaborate effectively with analytics, AI, and software engineering teams

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