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Intern 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

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ... engineering pipelines, feature stores, or model input data preparation Salary Range: $170,000 to ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site

$170K - $210K/yr

Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ... engineering pipelines, feature stores, or model input data preparation Salary Range: $170,000 to ...

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI

$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 ...

HTC Global Services

5H_Data_Engineer

Troy, MI · On-site

$108K - $130K/yr

Azure Data Engineer - Dynamics 365 & Power BI Hybrid Environment in Troy MI Overview / Summary The ... Exposure to Databricks or similar tools is a plus Soft Skills * Ability to operate in a fast-paced ...

HTC Global Services Inc

5H_Data_Engineer

Troy, MI · On-site

$108K - $130K/yr

Azure Data Engineer - Dynamics 365 & Power BI Hybrid Environment in Troy MI Overview / Summary The ... Databricks or similar tools is a plus Soft Skills Ability to operate in a fast-paced environment ...

Databricks

Sr. Solutions Engineer

Detroit, MI · On-site

$54.50 - $70.50/hr

Databricks is the data and AI company, and they are seeking a Sr. Solutions Engineer to support large enterprises in becoming more data-driven. The role involves defining and directing the technical ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related ... Databricks Intelligent Platform is a plus. * First experience in developing optimizing AWS data ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

... Engineering|Databricks Technical Skills 2 Technology|AI Engineering|Databricks AI Engineering ... Our team is dedicated to pioneering the future of data-driven decision-making, enabling ...

Hearst Transportation

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Hearst

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Samprasoft

Azure Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Job Title Develop and Implement Data Solutions utilizing Azure Services like Event Hub, Azure Data Factory, ADLS, Databricks, Azure web apps, Azure SQL DB instances. Experience with data ...

Hearst

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

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All JobsIntern Databricks Data Engineer JobsIntern Databricks Data Engineer Jobs in Michigan

Intern Databricks Data Engineer information

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

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Intern Databricks Data Engineer jobs near you
Data Engineer - Supply Chain

Data Engineer - Supply Chain

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Posted 18 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts. The Data Engineer plays a critical role in enabling this vision by designing, building, and operating enterprise-grade data pipelines and analytical data products that power advanced analytics, optimization, automation, and agentic AI solutions across the Supply Chain organization.
This role focuses on production-ready data engineering-ensuring data is reliable, governed, scalable, and fit for decisioning. The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows.
Responsibilities include but not limited to:
  • Design, build, and maintain scalable batch and near-real-time data pipelines supporting supply chain analytics and AI use cases
  • Ingest, transform, and curate data from enterprise and operational systems (ERP, planning, logistics, manufacturing, execution platforms)
  • Develop and maintain analytical data models and feature-ready datasets to support data science, optimization, and agentic AI workflows
  • Implement data quality validation, monitoring, and alerting to ensure trust and reliability of downstream analytics
  • Optimize data pipelines and storage for performance, cost, and scalability
  • Partner with data scientists and AI engineers to support model training, scoring, and deployment needs
  • Establish and follow best practices for data modeling, naming conventions, version control, and documentation
  • Ensure data solutions comply with enterprise standards for security, privacy, lineage, and governance
  • Support production operations, including incident investigation and root cause analysis related to data issues

Basic Qualifications:
  • Bachelor's in Computer Science, Information Systems, or a related field required
  • 8+ years of professional experience in data engineering, analytics engineering, or data platform development
  • Strong proficiency in Python and SQL for data transformation and pipeline development
  • Experience designing and maintaining production-grade data pipelines and analytical data models
  • Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
  • Solid understanding of data quality, validation, and monitoring concepts
  • Experience working with structured and semi-structured data at scale
  • Proven ability to own production data pipelines end-to-end (design → deployment → monitoring → incident response)
  • Demonstrated ability to operate independently, drive technical decisions, and deliver solutions in ambiguous environments with minimal oversight
  • Ability to collaborate effectively with analytics, AI, and software engineering teams

Preferred Qualifications:
  • Master's Degree
  • Experience supporting machine learning or advanced analytics pipelines, including feature engineering and model scoring data
  • Experience with orchestration tools, CI/CD, and version control for data pipelines
  • Familiarity with streaming or event-driven data architectures
  • Experience working with supply chain, operations, manufacturing, or ERP data
  • Knowledge of data governance, metadata management, and lineage tools
  • Experience supporting BI or downstream analytics tools (e.g., Power BI) and enterprise data platforms (e.g. Palantir Foundry)

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