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Data Engineer Relocation Jobs in Michigan (NOW HIRING)

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

Data Engineer Work Location : Ann ArborMI48105 Vendor Rate: $55 - $57/hr on W2 Contract duration: 6 ... to relocate or work onsite in Ann Arbor, MI Candidate need to work 4 days/week from client HQ ...

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 ...

Senior Data Engineer, CRM

Detroit, MI

$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 ...

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 ...

Relocation offered. This position reports to the Engineering Manager, Embedded Electronics Center ... Analyze test data to verify design margins and drive necessary design iterations to meet ...

Cloud Data Engineer-Snowflake/AWS

Detroit, MI · On-site

$104K - $125K/yr

Technology|Data on Cloud-DataStore|Snowflake Technical Skills 3 Technical Skills 4 Technology|ETL & ... This position may require relocation and/or travel to work/project location. * Candidates ...

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Data Engineer Relocation information

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 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 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 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 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:

What cities in Michigan are hiring for Data Engineer Relocation jobs?

Cities in Michigan with the most Data Engineer Relocation job openings:

Azure Data Engineer

Ann Arbor, MI • On-site

Spruce Infotech
IT Services • 1 - 10 employees

$55 - $57/hr

Other

Posted 11 days ago


Job description

Request ID: 122816-1
Start/End Dates: 9/7/2026 - 12/31/2026
Work Location: Ann Arbor, MI 48105
Job Title: IT - Senior Consultant | Cloud Integration | Azure Data Factory (ADF)
Job Description: Job Title: Data Engineer Work Location : Ann ArborMI48105 Vendor Rate: $55 - $57/hr on W2 Contract duration: 6 Target Start Date: 07 Sep 2026 Does this position require Visa independent candidates only? Yes **Full On-site (4days WFO/ week)**
Job Details:
Must Have Skills:
Databricks, ADF, PySpark
Nice to have skills:
SQL, Gen AI, Control-M
Detailed Job Description
Key Responsibilities
Design, build, and maintain data pipelines using Azure Databricks Perform data ingestion, transformation, and processing for enterprise data platforms Work closely with onsite client teams and stakeholders to understand data requirements Support data engineering workloads aligned to DNA (Data & Analytics) programs Collaborate with offshore teams, as applicable, to ensure end-to-end delivery
Required Technical Skills
Databricks - strong hands-on experience (mandatory) Experience working with Unity Catalog, Delta Lake, DLT Pipelines, Pyspark, SQL, Python, Databricks Rest API, Version Control (Git/Gitlab), Data Governance Azure Data Engineering stack Azure Databricks Azure data services(ADF, Key Vault, ADLS, Blob storage) Strong foundation in Data Engineering concepts (ETL/ELT, distributed processing) Ability to work independently in an onsite client environment
MUST have
Willingness to relocate or work onsite in Ann Arbor, MI Candidate need to work 4 days/week from client HQ Ability to join quickly due to urgent client demand Strong communication skills for onsite coordination
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute Provide strategic Input architectural guidance for new implementation areas ensuring a robust foundation for migration and setup projects
Interview Process (Is face to face required?) No
Any additional information you would like to share about the project specs/ nature of work
Release Comments:
Please use the below link to begin submitting Candidates.
https://prod.beeline.com/infosys?7836916d28c54cc588e048b72cef7013