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Copilot Developer Jobs in Warren, MI (NOW HIRING)

Varsity Tutors

Python Tutor

Detroit, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

Doeren Mayhew

Senior Software Engineer

Troy, MI · On-site

$114K - $151K/yr

They are seeking a Senior Software Engineer to act as a client-facing full stack engineer ... Code, Copilot, Codex) • Strong problem-solving skills and ability to analyze business ...

Varsity Tutors

Java Tutor

Detroit, MI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Doeren Mayhew

Senior Software Engineer

Troy, MI · On-site

$114K - $151K/yr

They are seeking a Senior Software Engineer to act as a client-facing full stack engineer, design ... Code, Copilot, Codex) • Strong problem-solving skills and ability to analyze business ...

Varsity Tutors

FE - Civil Engineering Tutor

Detroit, MI · Remote

$18 - $40/hr

... Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Dana

IT Co-Op

Novi, MI

$14.25 - $18.75/hr

Job Duties and Responsibilities AI Enablement & Copilot Adoption Support the rollout and adoption ... Information Technology, Information Systems, Computer Science, Software Engineering, Data Science ...

Apex Systems

Sr Full Stack Java Developer

Farmington Hills, MI · On-site

$51.75 - $66.75/hr

... Copilot or similar AI based development tools Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a ...

Stellantis

AI Coding Product Leader

Auburn Hills, MI · On-site

Hands-on or functional experience with tools such as GitHub Copilot, Claude Code, Codex, OpenCode, or similar. * Good understanding of SDLC, DevOps practices, CI/CD, testing, code quality, and modern ...

Varsity Tutors

Structural Engineering Tutor

Detroit, MI · Remote

$18 - $40/hr

... Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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All JobsCopilot Developer JobsCopilot Developer Jobs in Warren, MI

Copilot Developer information

See Warren, MI salary details

$16

$49

$76

How much do copilot developer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for copilot developer in Warren, MI is $49.63, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $60.72 per hour, depending on experience, location, and employer.

Why is Copilot shutting down?

As a Copilot developer, if the tool is shutting down, it may be due to company decisions, product updates, or shifts in strategic focus. Such changes can affect availability, support, or development of the software, requiring developers to adapt to new tools or platforms. Staying informed through official channels is recommended for updates related to Copilot's status.

What is a Copilot Developer?

A Copilot Developer is a software professional who specializes in integrating, customizing, or developing solutions using AI-powered coding assistants, such as GitHub Copilot. Their role often includes enhancing developer workflows by leveraging these AI tools, contributing to codebases, and ensuring that AI-generated code meets quality and security standards. They may also provide feedback to improve Copilot's suggestions and help teams adopt AI-assisted development practices. Copilot Developers often have strong programming skills and a deep understanding of how to effectively collaborate with AI tools.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as a senior AI researcher, machine learning engineer, or AI director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with cutting-edge tools, and they usually demand extensive experience and specialized certifications.

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

To thrive as a Copilot Developer, a strong background in software engineering, proficiency in languages such as Python, JavaScript, or TypeScript, and experience with AI/ML concepts are essential, often supported by a relevant degree. Familiarity with GitHub Copilot, code editors like Visual Studio Code, and cloud platforms such as Azure or AWS is typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help developers integrate AI tools into workflows and assist end-users. These skills ensure efficient, innovative solutions and maximize the impact of AI-powered code assistance in software development environments.

What does a Copilot developer do?

A Copilot developer designs, develops, and maintains AI-powered coding assistants that help programmers write code more efficiently. They work with machine learning models, integrate APIs, and optimize the tool's performance, often using programming languages like Python and tools such as GitHub Copilot. Strong knowledge of AI, software development, and collaboration with product teams are essential for this role.

What is the difference between Copilot Developer vs AI Software Engineer?

AspectCopilot DeveloperAI Software Engineer
Required CredentialsBachelor's in CS or related, coding skillsBachelor's or higher in CS, AI, or Data Science
Work EnvironmentSoftware development teams, tech companiesResearch labs, tech firms, startups
Industry UsageDeveloping AI-powered coding toolsDesigning and implementing AI models
Search & Comparison IntentFocus on coding automation toolsFocus on AI model development

While both roles involve AI and software development, a Copilot Developer primarily focuses on creating and improving AI coding assistants, whereas an AI Software Engineer designs and implements AI models across various applications. The roles overlap in skills but differ in their core objectives and work environments.

What are some common challenges Copilot Developers face when integrating AI-powered coding assistants into existing development workflows?

Copilot Developers often encounter challenges such as ensuring seamless integration of AI-assisted coding tools with a variety of development environments and version control systems. They must address concerns around code quality, security, and maintaining team coding standards, as AI-generated suggestions may not always align with best practices. Additionally, developers need to foster collaboration and trust within teams, encouraging effective use of Copilot without diminishing peer code reviews or knowledge sharing. Successful Copilot Developers proactively gather feedback from users and iterate on integration strategies to optimize productivity and code reliability.

What is the salary of Copilot developer?

The salary of a Copilot developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in AI, machine learning, and cloud platforms may earn higher compensation, and roles often require proficiency in programming languages like Python or JavaScript.
What are popular job titles related to Copilot Developer jobs in Warren, MI? For Copilot Developer jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Copilot Developer jobs in Warren, MI look for? The top searched job categories for Copilot Developer jobs in Warren, MI are:
What cities near Warren, MI are hiring for Copilot Developer jobs? Cities near Warren, MI with the most Copilot Developer job openings:
Copilot Developer jobs near you
Senior Data Engineer - Platform Foundation

Senior Data Engineer - Platform Foundation

Stellantis

Auburn Hills, MI • On-site

$115K - $152K/yr

Full-time

Re-posted 19 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

The Senior Data Engineer - Platform Foundation is a hands-on, senior-level contributor embedded in the Foundations squad. You will design, build, and evolve the shared ingestion platform that underpins data delivery across the company. The platform is the product - your job is to make it reliable, extensible, and easy for other teams to adopt.
The Foundations squad operates across three pillars: simplifying the overall data platform landscape by reducing complexity and consolidating redundant patterns; enabling structured and unstructured data ingestion at scale; and supporting the exposure of data products to consumers across the organization. You contribute to all three - making architectural decisions, writing production code, and enabling other teams through documentation and hands-on support.
Key Responsibilities:
Platform Foundation Development
  • Design and implement reusable ingestion components using dlt and dbt-core, covering both structured and unstructured data sources, handling high-volume, append-heavy, and schema-drifting patterns
  • Own the Airflow platform end-to-end: extend and maintain DAGs and shared operators, handle deployments and version upgrades, and provide hands-on support to consuming teams
  • Ensure incremental loading strategies, data quality checks, and lineage metadata are first-class outputs of every pipeline

Platform Simplification & Architecture
  • Identify and eliminate redundant ingestion patterns across consuming teams, drive standardization onto shared Platform Foundation components
  • Collaborate with Solution Architects to evolve the platform architecture in response to new data sources and shifting business requirements
  • Support data product exposure: define and implement governed interfaces that make data reliably accessible to internal consumers
  • Contribute to Terraform-managed infrastructure; participate in multi-cloud (AWS / Azure) deployment patterns

AI Tooling & Developer Productivity
  • Actively use and evaluate AI-assisted development tools (GitHub Copilot, Claude Code, etc.) to accelerate platform Foundation delivery
  • Champion AI tooling adoption within the squad; share best practices and guardrails around AI-generated code review
  • Explore AI-powered capabilities (RAG pipelines, LLM-assisted data cataloguing) for internal platform documentation and self-service enablement

DevOps & Reliability
  • Maintain and improve CI/CD pipelines (TeamCity, GitHub Actions) for platform Foundation components
  • Define and enforce observability standards: DAG/Task-level alerting, SLA tracking
  • Participate in on-call rotation for critical ingestion pipelines; drive post-incident improvements

Team Enablement & Stakeholder Management
  • Produce platform Foundation documentation, runbooks, and enablement materials for consuming squads
  • Translate ambiguous or moving business requirements into concrete technical designs - comfortable challenging scope when needed
  • Mentor mid-level engineers; participate in hiring and technical assessments

Basic Qualifications:
  • Bachelor's degree in Business, Information Systems, Data/Analytics, Computer Science, or related field
  • Minimum 5 years in data engineering roles, with at least 2 years in a senior / platform-level position
  • Proven track record building production ingestion and transformation pipelines at scale
  • Experience contributing to a shared platform or internal developer tooling consumed by multiple teams

Core Technical Skills:
  • Python: idiomatic, testable, production-grade code - not just scripting
  • dbt-core: advanced modelling (custom materializations), testing, documentation, packages
  • Apache Airflow: DAG design patterns, custom operators, dynamic task mapping, SLA management
  • Cloud data platforms: comfortable with one or more major cloud warehouses (Snowflake, BigQuery, Databricks, Microsoft Fabric)
  • SQL: complex analytical queries, window functions, query profiling
  • Git, CI/CD: trunk-based development, automated testing gates, pipeline-as-code

AI & Modern Tooling:
  • Daily user of AI coding assistants (Copilot, Claude Code or equivalent)
  • Understands the limits of AI-generated code - applies rigorous review, not blind trust
  • Interest in LLM-powered data tooling (RAG pipelines, Cortex, semantic layers) is a plus

Behavioral:
  • Navigates ambiguity: comfortable when requirements shift mid-sprint; drives clarification rather than waiting. Comfortable working with global teams
  • Platform mindset: builds for reuse, not one-off solutions
  • Direct communicator: raises blockers early, documents decisions, challenges assumptions constructively
  • Learner: actively tracks technology evolution

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