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Github Engineer Jobs in Michigan (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment. * Code Quality: Uphold rigorous software engineering standards, including ...

FastTek

Cloud Engineer

Dearborn, MI

$51.25 - $68.50/hr

Cloud Engineer #1057279 * As part of the EVDD team, the Senior Software Engineer is responsible for ... GitHub - Source code management * Jenkins - CI/CD pipeline * MongoDB - Database Skills Preferred:

FastTek

Software Engineer

Dearborn, MI

GitHub - code base repository. Must be able to connect and work with it. * Jenkins - CI/CD tool ... Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. * 6+ years in IT * 4+ years in ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment. • Code Quality: Uphold rigorous software engineering standards, including ...

Noblesoft Technologies

Data Engineer (Python)

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions. 4. Testing & Quality: Apply test-driven development (TDD) practices and ...

JDA

Sr Gen AI Engineer

Southfield, MI

$87.52K - $140.77K/yr

Python, GitHub, Node.js, React.js, GitHub Actions, Codacy, GitHub Advance Security, Black Duck Hub ... Proficiency in programming languages used in AI and machine learning, such as Python, TensorFlow ...

JDA

Sr Gen AI Engineer

Ann Arbor, MI

$87.52K - $140.77K/yr

Python, GitHub, Node.js, React.js, GitHub Actions, Codacy, GitHub Advance Security, Black Duck Hub ... Proficiency in programming languages used in AI and machine learning, such as Python, TensorFlow ...

FastTek

Software Engineer

Dearborn, MI

Familiarity with GitHub or similar source control tools * Strong analytical, problem-solving, and ... Perl programming * CAE model delivery experience * Test-driven development (TDD) * Performance ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105.90K - $127.10K/yr

REST APIs for compute, storage, operations, and security. * DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker. * Project management tools like Atlassian JIRA. Even better if ...

Megan soft Inc

GCP Devops Engineer (W2 Position)

Dearborn, MI · On-site

$48.50 - $66.50/hr

... s Engineer with given on W2 . Please forward updated profile to praveen@megansoft.com or +1(248 ... Experience with Docker, GitHub, Jenkins, Tekton and deploying applications on GCP * Proficiency ...

AaraTechnologies Inc

DEVOPS

Wyoming, MI

$47.75 - $65.50/hr

... Engineer Healthcare (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is ... Familiarity with CI/CD tools such as Jenkins or GitHub Actions * Basic scripting knowledge (Python ...

FastTek

Unix/DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Unix/DevOps Engineer #387727 To develop develop Unix tools/programs by using Github, Chef Habitat packages with Unix shell scripts to manage user accounts, sudo access, file system management ...

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How much do github engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for github engineer in Michigan is $83,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $101,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Github Engineer, you need a solid background in software development, version control systems (especially Git), and collaborative coding practices, often supported by a degree in computer science or related field. Familiarity with Github workflows, APIs, CI/CD tools, and scripting languages is typically required, along with certifications like GitHub Certified Developer being advantageous. Strong problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating across diverse development teams. These skills ensure seamless code collaboration, efficient project management, and the delivery of high-quality software in dynamic environments.

How does a GitHub Engineer typically collaborate with development teams to streamline code integration and deployment?

GitHub Engineers work closely with development teams to design and optimize continuous integration and deployment (CI/CD) pipelines, ensuring efficient code reviews, automated testing, and seamless merging of code. They often set best practices for branching strategies, manage repository permissions, and help troubleshoot integration issues. Regular collaboration involves participating in sprint planning, code review sessions, and providing technical guidance on using GitHub features effectively. This role is highly cross-functional, requiring strong communication skills and a proactive approach to supporting developers in maintaining code quality and delivery speed.

What is a GitHub Engineer?

A GitHub Engineer is a software professional who specializes in using GitHub, a popular platform for version control and collaboration, to manage code, streamline development workflows, and support software engineering teams. Their responsibilities often include setting up repositories, managing branches, automating workflows with GitHub Actions, and ensuring code quality through pull requests and code reviews. They may also help teams adopt best practices in source control and integrate GitHub with other tools in the development pipeline. This role requires strong knowledge of Git, continuous integration/continuous deployment (CI/CD), and collaborative software development.
What are popular job titles related to Github Engineer jobs in Michigan? For Github Engineer jobs in Michigan, the most frequently searched job titles are:
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What cities in Michigan are hiring for Github Engineer jobs? Cities in Michigan with the most Github Engineer job openings:
Github Engineer jobs near you
Data Engineer

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108.40K - $130.10K/yr

Full-time

Posted 26 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time. You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices.
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:
  • Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
  • Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
  • Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
  • CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
  • Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
  • Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.

Basic Qualifications:
  • BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline
  • 5+ years of experience in the data engineering and software development life cycle.
  • 4+ years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
  • 4+ years of hands-on experience working with AWS cloud services
  • Comprehensive experience with one or more programming languages such as Python, Java, or Rust
  • Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
  • Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
  • Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
  • Experience with designing and implementing real-time pipelines
  • Experience with data quality and validation
  • Experience with API design
  • Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
  • Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
  • SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
  • DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
  • Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying "Clean Code" principles to data engineering.
  • Stream Processing: Experience with Apache Flink for low-latency stream processing.
  • Scripting: Proficiency in Python for automation, data analysis, or scripting.
  • Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
  • Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.

Preferred Qualifications:
  • Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
  • Expert knowledge and experience with custom ETL design, implementation and maintenance
  • Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
  • Certification in AWS or other cloud providers
  • Experience with Databricks notebook workflows
  • Experience with Terraform

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