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Trainee Databricks Data Engineer Jobs in Michigan

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Position: Senior Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options ... Proficiency with Azure Data Factory, OneLake, Databricks, Data Warehouse, and Power BI. * Solid ...

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

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 ...

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 ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

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 ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

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 ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

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 ...

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

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

... 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 ...

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 ...

... 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 ...

... 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 ...

... 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 ...

Data Engineer

Plymouth, MI

$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 ...

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 ...

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:

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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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What cities in Michigan are hiring for Trainee Databricks Data Engineer jobs?

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

Lead Databricks Engineer / W2 position/12+yrs experience

VentureSoft Global

Detroit, MI • On-site

$93K - $123K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Lead Data Engineer – Databricks Data Modeling & Architecture
Location: Detroit, MI (Onsite)
Work Arrangement: 100% Onsite

Job Summary
We are seeking an experienced Databricks Data Engineer for a 6-month onsite contract engagement in Detroit, MI. The ideal candidate will design and maintain enterprise-grade data models and architectures across data warehouses, data lakes, and lakehouse platforms. This role combines hands-on data modeling expertise with architectural leadership, partnering with business and technology teams to deliver scalable, governed, and high-performance data solutions on Databricks and Microsoft Azure.

Key Responsibilities
Design Enterprise Data Models Develop and maintain conceptual, logical, and physical data models for data warehouses, data lakes, and lakehouse architectures using Databricks and modern data platforms.
Architect Scalable Data Solutions Design end-to-end data architectures leveraging Databricks, Delta Lake, Spark, and cloud platforms to support AI/ML and business intelligence initiatives.
Establish Data Governance & Standards Define data modeling standards, metadata management, data quality frameworks, and master data management governance processes to ensure trusted and compliant data assets.
Lead Data Integration & Optimization Architect and optimize batch, streaming, CDC, and ELT/ETL pipelines, ensuring high performance, scalability, efficiency, and reliability across enterprise data ecosystems.
Collaborate with Business & Technology Teams Partner with business stakeholders, data engineers, analysts, and AI/ML teams to translate requirements into scalable data products, reusable data domains, and enterprise-wide data solutions.

Required Skills & Qualifications
  • Databricks Lakehouse Architecture – proven hands-on design and implementation experience
  • Delta Lake, Unity Catalog, Lakeflow, Auto Loader
  • PySpark and SQL – strong development and optimization skills
  • Data Modeling – 3NF, Dimensional (Star/Snowflake), and Data Vault methodologies
  • Data Governance, Data Quality (DQ), and Metadata Management
  • Cloud Platform: Microsoft Azure (Azure Data Lake Storage, Azure Databricks, and related services)
  • Experience designing and optimizing batch, streaming, CDC, and ELT/ETL data pipelines
  • Strong understanding of data warehouse, data lake, and lakehouse design patterns
  • Excellent communication skills with the ability to engage both technical teams and business stakeholders

Preferred Qualifications
  • Databricks certification (e.g., Databricks Certified Data Engineer Professional or Data Architect)
  • Microsoft Azure certification (e.g., Azure Data Engineer Associate / Solutions Architect)
  • Experience supporting AI/ML and BI workloads on a lakehouse platform
  • Prior experience in an enterprise or large-scale data modernization program
  • Background in regulated or enterprise environments with formal governance requirements