Principal Developer Visa Sponsorship Jobs in Michigan
Principal developer visa sponsorship jobs in Michigan are concentrated in the Detroit metro area, with major employers including General Motors, Ford, Stellantis, and Rocket Companies actively hiring senior engineering talent. Ann Arbor's tech corridor and Grand Rapids' growing software sector add additional opportunity, particularly for candidates with deep expertise in automotive software, cloud platforms, or enterprise systems.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND 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
INTRODUCTION
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.
ROLE AND 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
Principal Developer Job Roles in Michigan
See all 38+ Principal Developer Jobs in Michigan
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Search Principal Developer Jobs in MichiganPrincipal Developer Jobs in Michigan: Frequently Asked Questions
Which companies in Michigan sponsor visas for principal developers?
Michigan's largest principal developer sponsors include General Motors, Ford Motor Company, Stellantis, and Rocket Companies in the Detroit metro area. Tech-focused employers such as Stryker in Kalamazoo, Consumers Energy, and a growing number of automotive software firms also file H-1B visa petitions for senior engineering roles. University of Michigan and Michigan State University sponsor principal developers in IT and research computing divisions as cap-exempt institutions.
What visa types realistically apply to principal developer roles in Michigan?
Principal developer roles qualify as specialty occupations, making the H-1B the primary pathway. The employer files a Labor Condition Application and I-129 petition with USCIS. H-1B1 visa applies to Chilean and Singaporean nationals. E-3 visa covers Australian nationals in specialty occupations. F-1 students may work under OPT or STEM OPT if their degree is STEM-designated. EB-2 and EB-3 green card categories are available for permanent sponsorship through PERM labor certification.
How to find principal developer visa sponsorship jobs in Michigan?
Migrate Mate lists Michigan principal developer roles specifically at employers with verified visa sponsorship history, so you can focus on companies that have demonstrated willingness to sponsor rather than applying broadly. Search by role and Michigan city to surface active openings at Detroit-area automotive tech firms, Ann Arbor software companies, and Grand Rapids employers without sifting through roles where sponsorship is unconfirmed.
Which Michigan cities have the most principal developer sponsorship opportunities?
Detroit and its suburbs, particularly Dearborn, Auburn Hills, and Southfield, account for the highest concentration of principal developer sponsorship activity due to the automotive OEM and supplier ecosystem. Ann Arbor is a secondary hub driven by University of Michigan, Google's local office, and a dense cluster of software startups. Grand Rapids has a smaller but growing market, with principal developer roles appearing at healthcare technology and manufacturing software firms.
Are there state-specific factors that affect principal developer sponsorship in Michigan?
Michigan's principal developer market is heavily shaped by the automotive industry's shift toward software-defined vehicles, creating strong demand for engineers with embedded systems, cloud, and AI expertise. Many large Michigan employers, including the Detroit automakers, have established H-1B sponsorship programs and hire internationally through university pipelines at University of Michigan and Michigan State. Candidates with backgrounds in automotive software, ADAS, or enterprise platform engineering are particularly well-positioned with Michigan sponsors.
What is the prevailing wage for sponsored principal developer jobs in Michigan?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.