Big Data Engineer Visa Sponsorship Jobs in Michigan
Big data engineer roles in Michigan are concentrated at automotive giants like Ford, General Motors, and Stellantis, plus major health systems including Spectrum Health and Henry Ford Health. Detroit, Ann Arbor, and Grand Rapids anchor most hiring. Employers across these industries actively sponsor H-1B visa and other work visas for qualified engineers with expertise in distributed data systems.
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- ONSITE
- Competitive salary
- Opportunity for advancement
Big Data Engineer
Location: Chicago, IL (Day 1 Onsite)
Job Type: Contract / Full Time
Experience: 8+ yrs
Duration: Long Term
We are seeking an experienced Big Data Engineer to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive, Apache NiFi, and Kafka, along with experience building scalable data pipelines and supporting modern CI/CD practices. Candidates should have worked directly with clients, participated in requirement gathering sessions, and delivered end-to-end Big Data implementations.
Key Responsibilities
- Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive.
- Build and maintain data ingestion workflows using Apache NiFi.
- Develop and support real-time data streaming solutions using Apache Kafka.
- Monitor application logs and system health using Kibana, Elasticsearch, and Logstash.
- Implement and support CI/CD pipelines using Git, Jenkins, and Nexus.
- Ensure data quality, integrity, and governance across Big Data platforms.
- Participate in architecture discussions and recommend scalable design solutions.
- Troubleshoot and resolve complex production issues across the Big Data stack.
- Collaborate with cross-functional teams in an Agile environment.
- Mentor junior engineers and contribute to technical best practices.
Required Qualifications
- 8+ years of experience in Big Data technologies.
- Strong hands-on experience with Spark, Scala, Hive (HQL), and the Hadoop ecosystem.
- Experience implementing Apache NiFi and Apache Kafka.
- Proficiency in Shell Scripting or Python.
- Experience with PostgreSQL.
- Familiarity with scheduling tools such as Oozie and Control-M.
- Working knowledge of Git, Jenkins, Nexus, Maven, Ansible, and SonarQube.
- Strong understanding of CI/CD practices.
- Experience in client-facing roles, including requirement gathering workshops.
- Minimum of two end-to-end Big Data implementation projects.
- Ability to work independently and contribute effectively within Agile teams.
Benefits:
- ONSITE
- Competitive salary
- Opportunity for advancement
Big Data Engineer
Location: Chicago, IL (Day 1 Onsite)
Job Type: Contract / Full Time
Experience: 8+ yrs
Duration: Long Term
We are seeking an experienced Big Data Engineer to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive, Apache NiFi, and Kafka, along with experience building scalable data pipelines and supporting modern CI/CD practices. Candidates should have worked directly with clients, participated in requirement gathering sessions, and delivered end-to-end Big Data implementations.
Key Responsibilities
- Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive.
- Build and maintain data ingestion workflows using Apache NiFi.
- Develop and support real-time data streaming solutions using Apache Kafka.
- Monitor application logs and system health using Kibana, Elasticsearch, and Logstash.
- Implement and support CI/CD pipelines using Git, Jenkins, and Nexus.
- Ensure data quality, integrity, and governance across Big Data platforms.
- Participate in architecture discussions and recommend scalable design solutions.
- Troubleshoot and resolve complex production issues across the Big Data stack.
- Collaborate with cross-functional teams in an Agile environment.
- Mentor junior engineers and contribute to technical best practices.
Required Qualifications
- 8+ years of experience in Big Data technologies.
- Strong hands-on experience with Spark, Scala, Hive (HQL), and the Hadoop ecosystem.
- Experience implementing Apache NiFi and Apache Kafka.
- Proficiency in Shell Scripting or Python.
- Experience with PostgreSQL.
- Familiarity with scheduling tools such as Oozie and Control-M.
- Working knowledge of Git, Jenkins, Nexus, Maven, Ansible, and SonarQube.
- Strong understanding of CI/CD practices.
- Experience in client-facing roles, including requirement gathering workshops.
- Minimum of two end-to-end Big Data implementation projects.
- Ability to work independently and contribute effectively within Agile teams.
Big Data Engineer Job Roles in Michigan
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Search Big Data Engineer Jobs in MichiganBig Data Engineer Jobs in Michigan: Frequently Asked Questions
Which companies in Michigan sponsor visas for big data engineers?
Ford Motor Company, General Motors, Stellantis, and Rocket Companies in Detroit are among the most active H-1B sponsors for data engineering roles in Michigan. Major health systems like Henry Ford Health and Spectrum Health also file for data engineers. Ann Arbor's tech sector, anchored by companies like Duo Security and university-affiliated research organizations, adds further sponsorship activity in the state.
Which visa types realistically fit big data engineer roles in Michigan?
The H-1B is the primary visa for big data engineers, as the role qualifies as a specialty occupation requiring a bachelor's degree in computer science, data engineering, or a related field. Canadian and Mexican nationals may qualify under the TN visa as engineers with a qualifying degree. The E-3 visa covers Australian nationals in specialty occupations. F-1 students may use OPT or STEM OPT if their degree is STEM-designated, with employers needing to be E-Verify enrolled for STEM OPT. EB-2 and EB-3 green card paths are also available through PERM labor certification.
Which Michigan cities have the most big data engineer visa sponsorship jobs?
Detroit leads Michigan for big data engineer sponsorship activity, driven by the automotive sector and financial technology firms like Rocket Companies. Ann Arbor follows closely, supported by University of Michigan research partnerships and a growing tech startup ecosystem. Grand Rapids has emerging demand from health systems and manufacturing firms investing in data infrastructure. Dearborn, as Ford's headquarters city, is also a consistent source of data engineering sponsorship filings.
How to find big data engineer visa sponsorship jobs in Michigan?
Migrate Mate lists Michigan employers with verified sponsorship histories for big data engineer roles, letting you focus on companies that have already filed for data engineering positions rather than guessing at sponsorship willingness. Because Michigan's market spans automotive, healthcare, and fintech, filtering by industry alongside role title helps narrow results to employers whose data infrastructure needs closely match distributed systems and pipeline engineering experience.
Are there state-specific factors that affect big data engineer sponsorship in Michigan?
Michigan's outsized automotive industry creates distinctive demand for big data engineers with experience in manufacturing analytics, IoT data pipelines, and vehicle telemetry systems. The University of Michigan in Ann Arbor and Michigan State University produce strong local engineering pipelines, making those cities attractive to international graduates entering OPT. Automotive suppliers across the state, including Bosch and Aptiv, also sponsor data engineers, extending opportunities beyond the major OEMs.
What is the prevailing wage for sponsored big data engineer 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.