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Contract Databricks Data Engineer Jobs in Rochester Hills, MI

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

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113K - $136K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... Experience using Apache Spark (Databricks on Azure preferred). * Experience with Airflow or similar ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... Experience using Apache Spark (Databricks on Azure preferred). * Experience with Airflow or similar ...

AEG

Cloud Data Engineer

Detroit, MI · On-site

$113K - $135K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... Experience using Apache Spark (Databricks on Azure preferred). * Experience with Airflow or similar ...

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 ...

Reliable Software Resources

Sr. AI Data Engineer

Detroit, MI · On-site +1

$104K - $125K/yr

AI Data Engineer Location : Detroit,MI (Remote + 50% Travel) Qualifications:- * Design and build ... Evaluate and support migration to Databricks or modern analytics platforms. * Improve system ...

New

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 ...

TMS

Databricks Architect

Troy, MI · Remote

$66.25 - $87/hr

Lead solution design discussions and mentor data engineering teams Must-Have Skills * 10+ years in data engineering / data architecture * 5+ years of strong hands-on experience with Databricks

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

... such as Databricks, Spark, Snowflake, or equivalent • Solid understanding of data quality ... software engineering teams Preferred : • Master's Degree • Experience supporting machine ...

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 Newspapers

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

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 ...

Hearst Television

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

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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Contract Databricks Data Engineer information

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$41K

$119.4K

$163.4K

How much do contract databricks data engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for contract databricks data engineer in Rochester Hills, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
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What cities near Rochester Hills, MI are hiring for Contract Databricks Data Engineer jobs? Cities near Rochester Hills, MI with the most Contract Databricks Data Engineer job openings:
Contract 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 27 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 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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