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Non Exempt Databricks Data Engineer Jobs in Michigan

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

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI · On-site

$99K - $232K/yr

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-Director

Detroit, MI · On-site

$155K - $410K/yr

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 ...

Hearst

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... with Databricks (Delta Lake, Notebooks, SQL Analytics) Experience with Kubernetes (Cluster ...

Hearst Newspapers

Senior Data Engineer

Troy, MI · Hybrid

$100K - $136K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... with Databricks (Delta Lake, Notebooks, SQL Analytics) Experience with Kubernetes (Cluster ...

Hearst

Senior Data Engineer

Troy, MI · Hybrid

$100K - $136K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... with Databricks (Delta Lake, Notebooks, SQL Analytics) Experience with Kubernetes (Cluster ...

Hearst

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... with Databricks (Delta Lake, Notebooks, SQL Analytics) Experience with Kubernetes (Cluster ...

MOTOR Information Systems

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... with Databricks (Delta Lake, Notebooks, SQL Analytics) Experience with Kubernetes (Cluster ...

Hearst

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... with Databricks (Delta Lake, Notebooks, SQL Analytics) Experience with Kubernetes (Cluster ...

Domino's Pizza

Platform Engineer

Ann Arbor, MI · On-site

To help accelerate our drive, we are looking for a driven Databricks Data Platform Engineer to join our team at World Resource Center (WRC) in Ann Arbor, MI. Main Responsibilities * Administer and ...

Domino's Corporate

Platform Engineer

Ann Arbor, MI · On-site

To help accelerate our drive, we are looking for a driven Databricks Data Platform Engineer to join our team at World Resource Center (WRC) in Ann Arbor, MI. Main Responsibilities * Administer and ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

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

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All JobsNon Exempt Databricks Data Engineer JobsNon Exempt Databricks Data Engineer Jobs in Michigan

Non Exempt Databricks Data Engineer information

What is the difference between Non Exempt Databricks Data Engineer vs Non Exempt Data Analyst?

AspectNon Exempt Databricks Data EngineerNon Exempt Data Analyst
CertificationsDatabricks certifications, SQL, cloud platform skillsExcel, SQL, data visualization tools
Work EnvironmentCloud-based data platforms, big data environmentsBusiness intelligence tools, spreadsheets, reports
Employer & IndustryTech, finance, healthcare using big data solutionsMarketing, retail, finance analyzing data trends

Non Exempt Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and cloud platforms, often working with big data. Non Exempt Data Analysts interpret data to generate reports and insights. While both roles require SQL skills, Data Engineers need cloud and big data expertise, whereas Data Analysts focus on data visualization and reporting.

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Senior Data Engineer

Stellantis

Auburn Hills, MI • On-site

$100K - $136K/yr

Full-time

Re-posted 22 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

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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