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Jr Data Engineer Jobs in Clarkston, MI (NOW HIRING)

JR Automation, a Hitachi Group Company, is driven to deliver customer success worldwide. We provide ... Provide engineering teams with robot paths, OLPs and data. * Produce simulation videos and images.

JR Automation, a Hitachi Group Company, is driven to deliver customer success worldwide. We provide ... Provide engineering teams with robot paths, OLPs and data. * Produce simulation videos and images.

JR Automation, a Hitachi Group Company, is driven to deliver customer success worldwide. We provide ... Provide engineering teams with robot paths, OLPs and data. * Produce simulation videos and images.

... data capture solutions for performance-driven organizations focused on the optimization of supply ... The position involves hands-on programming at customer or production sites and requires an ...

JR-202609612** ****The Role**As a senior engineer, you will lead the design, build, and operation ... Design data models and manage data storage using relational databases, graph databases, and other ...

AI Agent Engineer

Warren, MI · On-site

$140 - $190/hr

JR-202606937** ****The Role:**We are seeking an AI Agent Engineer to design, build, and ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent ...

JR-202615755** *****At General Motors, our product teams are redefining mobility. Through a human ... data processing.GM does not provide immigration-related sponsorship for this role. Do not apply for ...

JR-202616226** ****At General Motors, our product teams are redefining mobility. Through a human ... Use supplier specifications, design data, and physical test/bench/vehicle results to parameterize ...

Industrial Engineer

Warren, MI · On-site

$80 - $110/hr

JR-202616490** **At General Motors, our product teams are redefining mobility. Through a human ... Analyze system data from current programs to improve performance and participate in Throughput ...

Associate Account Manager

MI · Remote

$125K - $131K/yr

JR Automation, a Hitachi Group Company, is driven to deliver customer success worldwide. We provide ... A collaborative, engineering-driven environment * Career growth and skill development opportunities

Jr Account Manager

Detroit, MI · On-site

$75K - $98K/yr

Support RFQ activities by coordinating cross-functional input from Engineering, Purchasing ... Ability to analyze sales data, pricing information, and business metrics. * Familiarity with ...

Onsite Flint, Michigan, United States of America Full time JR-202618158 The Role Flint Engine is ... In this role, you will lead the plant's ergonomics process alongside UAW partners, leveraging data ...

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Jr Data Engineer information

See Clarkston, MI salary details

$45.5K

$132.6K

$181.4K

How much do jr data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for jr data engineer in Clarkston, MI is $132,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,500.00 per year, depending on experience, location, and employer.

What does a Jr Data Engineer do?

A Jr Data Engineer is responsible for supporting the design, development, and maintenance of data pipelines and systems. They work with senior data engineers to collect, clean, and organize data from various sources, ensuring that the data is reliable and accessible for analysis. Junior data engineers may also assist in troubleshooting data issues, optimizing data flows, and learning best practices in data engineering. Their role provides foundational experience in data management, database technologies, and programming.

What types of projects and tasks can a Jr Data Engineer expect to work on during their first year?

As a Jr Data Engineer, you can expect to be involved in projects such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. You'll likely collaborate closely with data analysts, senior engineers, and business stakeholders to ensure data is accessible and reliable for analysis. During your first year, you'll gain experience with ETL tools, cloud data platforms, and scripting languages, while learning best practices in data architecture and quality assurance. This hands-on involvement lays a strong foundation for future growth into more advanced engineering or analytics roles.

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

To thrive as a Jr Data Engineer, you need a solid understanding of database concepts, SQL, and programming languages like Python or Java, usually supported by a relevant degree or coursework. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Strong problem-solving, attention to detail, and effective communication are important soft skills for collaborating with teams and handling data issues. These combined skills ensure efficient data pipeline development, accurate data handling, and smooth integration of data solutions within an organization.

What is the difference between Jr Data Engineer vs Data Analyst?

AspectJr Data EngineerData Analyst
Required SkillsBasic SQL, Python, ETL processes, data pipeline developmentData visualization, SQL, Excel, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting tools, dashboards
CertificationsEntry-level data engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

The Jr Data Engineer typically focuses on building and maintaining data pipelines and infrastructure, requiring skills in SQL, Python, and ETL processes. In contrast, a Data Analyst concentrates on interpreting data, creating reports, and visualizations. Both roles often work within similar industries and environments but serve different functions in data management and analysis.

What are popular job titles related to Jr Data Engineer jobs in Clarkston, MI?

For Jr Data Engineer jobs in Clarkston, MI, the most frequently searched job titles are:

What job categories do people searching Jr Data Engineer jobs in Clarkston, MI look for?

The top searched job categories for Jr Data Engineer jobs in Clarkston, MI are:

What cities near Clarkston, MI are hiring for Jr Data Engineer jobs?

Cities near Clarkston, MI with the most Jr Data Engineer job openings:

Infographic showing various Jr Data Engineer job openings in Clarkston, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $132,591 per year, or $63.7 per hour.

Senior Data Engineer - Agentic AI, Automation, and Data Platforms

Warren, MI • On-site


General Motors
Transportation Equipment Manufacturing • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 307 frontline employees who took The Breakroom Quiz

3rd of 45 rated automakers

People enjoy working here

Good employer

Paid breaks


$139 - $174/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


Job description

## Senior Data Engineer – Agentic AI, Automation, and Data PlatformsApplyremote type: Hybridlocations: Warren, Michigan, United States of America: Austin, Texas, United States of Americatime type: Full timeposted on: Posted Todayjob requisition id: JR-202616156**Job Description****This role is categorized as hybrid. This means the successful candidate is expected to report to GM Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].****The Role**This role is for a senior individual contributor in Data Engineering who can independently lead complex technical work, apply strong professional judgment, improve processes and delivery patterns, and move quickly from ideas to production solutions. At this level, the individual is expected to operate with minimal guidance, resolve non-standard problems using advanced analytical thinking, take ownership of outcomes, and serve as a technical resource for less experienced team members.The role is anchored in data engineering with a strong focus on automation and Agentic AI. The engineer will build reliable data platforms and use technologies such as Cursor, large language models, Vector Search, Databricks agents, RAG, and similar tools to accelerate engineering delivery and enable intelligent data experiences. The engineer will partner with data scientists and ML engineers as needed to support experimentation and productionize AI solutions, while data engineering and platform delivery remain the primary focus.**What You’ll Do*** Design, build, and productionize reliable, scalable, and secure data pipelines and data products in Azure Databricks that support AI, analytics, and operational use cases.* Transform raw data from multiple source systems into trusted, well-structured data products for analytics, model development, LLM applications, Vector Search, and AI agents.* Build automation and reusable engineering workflows using tools such as Cursor, Claude, LLMs, Databricks agents, and related technologies to improve development speed, testing, documentation, troubleshooting, and operational efficiency.* Design and enable governed data, retrieval, and semantic patterns for Vector Search, RAG, Databricks agents, Genie, Glean, and other AI-enabled applications.* Build and optimize batch and streaming pipelines, including feature-ready, training, inference, and model-scoring data workflows, in partnership with data science teams when needed.* Establish practical engineering patterns for CI/CD, automated testing, data quality, lineage, observability, security, cost management, and production support.* Solve complex data engineering, performance, reliability, and data-quality problems with strong ownership, urgency, and sound technical judgment.* Contribute to technical direction, reusable standards, and delivery practices across teams; influence adoption through working examples and measurable outcomes.* Mentor team members through technical guidance, design reviews, knowledge sharing, and strong engineering practices.**Your Skills & Abilities (Required Qualifications)*** Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field, or equivalent experience.* 5+ years of relevant professional experience, or equivalent knowledge and experience.* Strong experience in data engineering, including pipeline development, data modeling, data integration, distributed processing, and production support for enterprise data platforms.* Experience using Python or Scala, SQL, Apache Spark, and modern cloud data platforms; Azure is preferred, and AWS or GCP experience is also considered.* Experience designing, building, and optimizing scalable batch and streaming data pipelines using Databricks, Delta Lake, and medallion or comparable lakehouse architecture.* Hands-on experience using AI-assisted development or automation tools such as Cursor, Claude, GitHub Copilot, or comparable platforms to improve engineering productivity and delivery.* Hands-on experience with LLMs, Vector Search, RAG, Databricks agents, or comparable technologies used to build or enable production AI solutions.* Demonstrated ability to work independently, move quickly through ambiguity, influence technical decisions, and deliver measurable improvements in quality, reliability, efficiency, or business value.**What Can Give You a Competitive Advantage (Preferred Qualifications)*** Experience building or operating Databricks agents, Vector Search solutions, LLM applications, RAG workflows, Genie spaces, Glean integrations, or similar Agentic AI platforms.* Experience applying evaluation, monitoring, access controls, guardrails, and governance to AI or agent-enabled solutions.* Experience partnering with data scientists or ML engineers on feature engineering, experimentation, model development, model serving, or productionization of AI solutions.* Experience with infrastructure as code, APIs, data contracts, platform automation, or reusable engineering libraries and templates.* Experience in manufacturing, supply chain, automotive, planning, or another complex operational domain.* Demonstrated mentoring, technical leadership, and process improvement impact consistent with a Level 7 senior individual contributor role.* Master’s degree in Computer Science, Software Engineering, Data Engineering, or related field.This job may be eligible for relocation benefits.**Compensation:*** The expected base compensation for this role is: $138,700 - $173,750. Actual base compensation within the identified range will vary based on factors relevant to the position.* Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.* Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.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., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) #J-18808-Ljbffr

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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


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