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Data Engineer Relocation Jobs in Michigan (NOW HIRING)

Trilyon, Inc.

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

Job Title: Senior Data Engineer Location: Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED ... No remote-only option ; relocation candidates will not be considered * Must be willing to attend ...

Very Stable, U.S. based manufacturing company with customers in various industries.

Be Seen First

Data Engineer IoT PLC Machinery Industrial Data pushes and pulls, new

Troy, MI · On-site

$110K - $145K/yr

We are seeking a Senior Metrology Data Engineer to lead the data access and analysis of the metrics ... Very Competitive Compensation and Benefits (Relocation Assistance is offered), Call or Apply Today!

Ford Motor Company

Senior Data Engineer, CRM

Detroit, MI · On-site

$104K - $142K/yr

Relocation assistance is NOT provided for this specific role* Candidates for positions with Ford ... Data Pipeline & Integration Engineering * Build & Optimize: Design and maintain robust data ...

Redolent, Inc.

US_East | Data Engineer_L2

Southfield, MI · On-site

$105K - $127K/yr

MANDATORY " "System Engineer- Hardware -Key Responsibilities • Discuss customers' AFC ... Relocate? Rate: Availability: Phone #: Mobile#: LinkedIn ID: Email address: Visa type: Visa ...

Eaton

Lead Power Electronics Engineer

Grand Rapids, MI · On-site

$105K - $154K/yr

Relocation offered. The expected annual salary range for this role is $105000 - $154000 a year ... and test circuits, analyze data, and optimize designs for performance, size, cost ...

OpTech LLC

Analytics Engineer/Data Analyst

Lansing, MI · On-site

Lansing, Michigan Data Analyst Contract Analytics Engineer/Data Analyst (W-2 Contract / No Agencies ... There is no relocation assistance for this position. This includes reimbursement for travel ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

This role requires programming and statistical techniques to solve complex problems and work within ... This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Relocation assistance IS provided for this specific role* Candidates for positions with Ford Motor ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

Our team is dedicated to pioneering the future of data-driven decision-making, enabling ... relocation and/or travel to work/project location. • Candidates authorized to work for any ...

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All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Michigan

Data Engineer Relocation information

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a Data Engineer Relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

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

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.
What are popular job titles related to Data Engineer Relocation jobs in Michigan? For Data Engineer Relocation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in Michigan look for? The top searched job categories for Data Engineer Relocation jobs in Michigan are:
Data Engineer Relocation jobs near you
IT Data Engineer

IT Data Engineer

Western Michigan University

Kalamazoo, MI • On-site

$65K - $76K/yr

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Western Michigan University rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

426th of 544 rated colleges and universities

Job description

Description
The Data Engineer is responsible for designing, building, and maintaining the organization's data
infrastructure to support a scalable, governed, and analytics-ready environment. This role focuses on the
development of robust data pipelines, integration of disparate data sources, and optimization of data storage
and processing frameworks, while contributing to the evolution of the WMed data platform toward a data-asa-
service (DaaS) model that enables standardized, secure, and reusable access to trusted data assets
across clinical operations, medical education, research, compliance, and executive decision-making.
Working within a modern data architecture, the Data Engineer transforms fragmented, system-centric data
into structured, reliable, and accessible datasets. This role partners closely with analysts, stakeholders, and
technical teams to ensure data availability, integrity, and performance across platforms including partner
EHRs, academic systems, and enterprise applications.
Please Note this is a Salaried Hybrid Position that will require on-site attendance. (MI residents only or willing to relocate - at their expense, to Michigan)
This position is NOT eligible for employer-sponsored work authorization (visa sponsorship), now or in the future.
BENEFITS
  • Wellness reimbursement.
  • Continuing education and tuition reimbursement.
  • Employer-funded retirement plan.
  • Two medical plan options: PPO and High Deductible Health Plan (HDHP) with employer HSA contribution.
  • Flexible work solutions based on position and department.
  • Up to four weeks of PTO accrual beginning in year one.
  • Paid holidays.
  • Paid volunteer time.
  • Paid preferred holiday.

DUTIES AND RESPONSIBILITIES:
  • Design, build, and maintain scalable data pipelines to ingest, transform, and load data from clinical, academic, and enterprise systems
  • Develop and manage ETL processes using tools such as Pentaho and Microsoft SSIS, ensuring reliability and performance
  • Design and implement data models and schemas to support downstream analytics and reporting use cases
  • Contribute to the development of a DaaS platform, enabling reusable, governed data products and standardized access patterns for analysts, applications, and self-service users
  • Optimize and maintain PostgreSQL data environments, including performance tuning and storage strategies
  • Implement and monitor data quality, validation, and error-handling processes
  • Establish and maintain data lineage, metadata, and documentation to support governance and transparency
  • Integrate new data sources into the data platform, including APIs, flat files, and third-party systems
  • Troubleshoot and resolve data issues across the full data lifecycle
  • Support the evolution of organizational data architecture toward a modern, scalable platform
  • Contribute to standards, best practices, and governance frameworks for data engineering
  • All other duties as assigned

Requirements
To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND/OR EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field (or equivalent experience).
  • 3 to 5 years of experience in data engineering, ETL development, or data platform engineering.
  • Advanced proficiency in SQL (PostgreSQL or similar relational databases).
  • Experience designing and managing data pipelines and workflows (Pentaho, Microsoft SSIS, or similar ETL tools).
  • Experience working with healthcare data systems preferred.
  • Experience integrating academic and enterprise systems preferred.

OTHER SKILLS AND ABILITIES:
  • Strong understanding of data architecture, data modeling, and data warehousing concepts.
  • Experience building and maintaining data pipelines (ETL), orchestration, and scheduling frameworks.
  • Knowledge of data warehousing and/or data lake architectures.
  • Experience with data quality frameworks, validation, and monitoring.
  • Familiarity with performance tuning and query optimization.
  • Familiarity with modern data platform concepts including DaaS and self-service analytics enablement.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Experience working with structured and semi-structured data (CSV, JSON, APIs).
  • Ability to troubleshoot data issues across multiple systems and layers (source to pipeline to warehouse to reporting).
  • Experience with BI tools (Power BI or similar) for downstream data consumption.
  • Ability to learn and adapt to evolving data technologies and platforms.

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