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Trainee Databricks Data Engineer Jobs in Farmington, MI

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

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.

Staff Data Engineer

Warren, MI · Hybrid

$107K - $129K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure ... Extensive experience designing and optimizing batch and streaming data pipelines using Databricks ...

New

Staff Data Engineer

Warren, MI · On-site

$107K - $129K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure ... Extensive experience designing and optimizing batch and streaming data pipelines using Databricks ...

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.

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

Senior Data Engineer

Warren, MI · On-site

$99K - $135K/yr

Hands-on experience with Databricks, Apache Spark, Delta Lake, and distributed data processing ... Master's degree in computer science, software engineering, data science, or a related field.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Trainee Databricks Data Engineer information

See Farmington, MI salary details

$43.8K

$127.6K

$174.7K

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

As of Sep 7, 2026, the average yearly pay for trainee databricks data engineer in Farmington, MI is $127,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $135,300.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Trainee Databricks Data Engineer jobs in Farmington, MI?

For Trainee Databricks Data Engineer jobs in Farmington, MI, the most frequently searched job titles are:

What job categories do people searching Trainee Databricks Data Engineer jobs in Farmington, MI look for?

The top searched job categories for Trainee Databricks Data Engineer jobs in Farmington, MI are:

What cities near Farmington, MI are hiring for Trainee Databricks Data Engineer jobs?

Cities near Farmington, MI with the most Trainee Databricks Data Engineer job openings:

Manufacturing Cybersecurity Data Engineer

General Motors

Warren, MI • On-site

$107K - $129K/yr

Full-time

Posted 10 days ago


Key responsibilities

  • Design, develop, operate, and maintain data ingestion and ETL pipelines that consolidate OT vulnerability, asset, configuration, and cyber-risk data from multiple sources.

  • Develop Python, SQL, and scripting solutions for data extraction, transformation, validation, enrichment, automation, and analysis.

  • Develop and maintain dashboards, reports, metrics, and visualizations that communicate exposure, trends, and remediation progress.


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 308 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,331 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role

General Motors is transforming the future of mobility while operating one of the world's most complex manufacturing environments. The Manufacturing Cybersecurity team helps protect the technology, systems, and data that keep GM plants safe, resilient, and productive.

As a Manufacturing Cybersecurity Engineer, you'll build and operate the data foundation that enables OT cyber-risk visibility across GM manufacturing. You'll develop reliable data-ingestion and ETL solutions that consolidate vulnerability, asset, configuration, and security telemetry from plant systems, cybersecurity tools, enterprise platforms, and other sources into the Databricks Lakehouse Platform. Using Python, SQL, scripting, and data-quality practices, you'll transform, validate, monitor, and troubleshoot pipelines, then translate complex technical data into actionable insights through Power BI or similar dashboards and reports.

This is a hands-on Level 6 individual contributor role. You'll exercise independent judgment to resolve non-routine data and cybersecurity problems, propose process improvements, and coordinate delivery across cybersecurity, manufacturing, plant, data engineering, and technology stakeholders. Your work will help plant teams prioritize remediation, reduce OT exposure, and make informed decisions without disrupting production.

What You'll Do

  • Design, develop, operate, and maintain dependable data ingestion and ETL pipelines that consolidate OT vulnerability, asset, configuration, and cyber-risk data from multiple sources.

  • Develop Python, SQL, and scripting solutions for data extraction, transformation, validation, enrichment, automation, and analysis.

  • Establish data-quality checks, reconciliation routines, monitoring, alerting, and troubleshooting procedures that improve data completeness, accuracy, timeliness, and reliability.

  • Identify, assess, track, and report OT cybersecurity risks and vulnerabilities across plant systems and networks, supporting risk-based prioritization and remediation planning.

  • Develop and maintain Power BI or similar dashboards, reports, metrics, and visualizations that communicate exposure, trends, control coverage, remediation progress, and operational performance.

  • Translate complex technical and security data into clear insights and recommendations for plant teams, cybersecurity stakeholders, manufacturing leadership, and technology partners.

  • Partner with cybersecurity, manufacturing engineering, plant operations, data engineering, and technology teams to define requirements, resolve data issues, and deliver cross-functional solutions.

  • Document data sources, data models, pipeline logic, controls, lineage, operating procedures, and troubleshooting guidance in a clear and maintainable format.

  • Automate repeatable data preparation, analysis, and reporting processes while applying appropriate security, privacy, access-control, and data-governance practices.

  • Propose and deliver process improvements that increase visibility, reduce manual effort, improve reporting consistency, and strengthen OT vulnerability management.

  • Communicate status, risks, dependencies, findings, and recommendations clearly; follow issues through resolution and escalate potential impacts early.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Data Engineering, Engineering, or a related field, or equivalent relevant experience.

  • 3+ years of professional experience in cybersecurity, data engineering, analytics, software engineering, manufacturing technology, or a related field.

  • Hands-on experience developing and supporting production data pipelines using Python, SQL, scripting, ETL, or data-ingestion technologies.

  • Experience integrating and validating data from multiple enterprise, plant, cybersecurity, or operational technology sources, with the ability to diagnose data-quality and pipeline issues.

  • Experience with OT or industrial control system cybersecurity, vulnerability management, asset inventory, security telemetry, or cyber-risk reporting.

  • Ability to work independently, exercise sound judgment, and resolve non-routine data and cybersecurity problems in a complex environment.

  • Ability to communicate technical findings clearly and collaborate effectively with cybersecurity, manufacturing, plant, data engineering, and technology stakeholders.

What Can Give You A Competitive Advantage (Preferred Qualifications)

  • Experience with Databricks, Delta Lake, Spark, cloud data platforms, Lakehouse architecture, or similar technologies.

  • Experience developing Power BI or similar dashboards, reports, metrics, and visualizations for technical, operational, or executive audiences.

  • Experience working in a manufacturing, plant, industrial automation, or other operational technology environment.

  • Familiarity with PLCs, HMIs, SCADA, industrial networks, or comparable systems.

  • Knowledge of data-governance practices, including data ownership, metadata, lineage, access controls, retention, quality standards, and documentation.

  • Familiarity with cybersecurity risk-management principles and frameworks such as the NIST Cybersecurity Framework, NIST SP 800-53, or ISO/IEC 27001/27002.

#LI-SB3

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908