Top 66 Data engineer Jobs in Livonia Mi

Data Engineer/GCP/Bigquery/Dearborn, MI Local
Motion Recruitment —Dearborn, MI
- Full-time
- Azure
- Computer Science
- AWS
- Health insurance
- Dental insurance
9d
Data Engineer
CompuTek Solutions —Farmington Hills, MI
- Computer Science
- No experience needed
- Office
Data Engineer
CompuTekSolutions —Farmington Hills, MI
- Computer Science
- No experience needed
- Office
Data Engineer
Freudenberg-NOK General Partnership —Plymouth, MI
- From $120,000 a year
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- Health insurance
Data and AI Engineer
University of Michigan —Ann Arbor, MI
- Full-time
- Hybrid work
- Background check
- Computer science
- Computer Science
- Health insurance
- Dental insurance
11d
Data Engineer
IB Systems —Farmington Hills, MI
- $114,691 a year
- Full-time
- Azure
- Oracle
- Computer Science
Data Engineer
Browse Info Solutions. —Canton, MI
- Email
- Computer Science
- Java
- Analysis skills
Data Engineer
Stellantis —Auburn Hills, MI
- Computer Science
- Java
- Analysis skills
Senior Data Engineer
Protera Health —Troy, MI
- $135,000 - $195,000 a year
- Full-time
- Hybrid work
- Computer Science
- HIPAA
- SQL
- Paid holidays
- Health insurance
Quick Apply
4d
ICT Data Engineer
Stellantis —Auburn Hills, MI
- Azure
- Computer Science
- 3 years
Senior Data Engineer
Rocket Companies —Detroit, MI
- Full-time
- Computer science
- Computer Science
- 5 years
Data Insights & Analytics Senior Data Engineer (Contract)
AlixPartners —Southfield, MI
- Full-time
- Hybrid work
- Writing skills
- English
- Office
AI/ML and Data Engineer
SME —Southfield, MI
- $138,000 - $172,000 a year
- Computer science
- Azure
- Computer Science
- 403(b) matching
- Paid holidays
Quick Apply
Senior Data Engineer – Agentic AI, Automation, and Data Platforms
General Motors —Warren, MI
- $138,700 - $173,750 a year
- Email
- Azure
- Computer Science
- 5 years
- Health savings account
- Paid holidays
3d
Systems Engineer - Data and Insights
General Motors —Warren, MI
- Email
- Computer Science
- System design
- SQL
- Benefits from day one
11d
Data Engineer - Vehicle Configuration Optimization
Stellantis —Auburn Hills, MI
- Mid-level
- Office
- SQL
Equipment & Data Relibility Engineer
Manpower Engineering —Detroit, MI
- $115,000 a year
- Mid-level
- Office
- Contracts
Quick Apply
Data Engineer
Whisker —Auburn Hills, MI
- Full-time
- Hybrid work
- Azure
- Computer Science
- Bachelor of Science
- Paid parental leave
- Paid holidays
Quick Apply
Data Scientist - Research Engineer (ML)
OpTech LLC —Dearborn, MI
- $40 - $42 an hour
- Contract
- Computer Science
- Research
- Master's degree
- Health insurance
- Dental insurance
Quick Apply
11d
Azure Data Engineer - AI Integration Specialist with Microsoft Fabric and Power BI Expertise
HJ Software —Farmington Hills, MI
- Email
- 5 years
- DevOps
- Analysis skills

I want to receive the latest job alert for data engineer in livonia mi

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Data Engineer/GCP/Bigquery/Dearborn, MI Local

Motion Recruitment -
Dearborn, MI

Apply Now

Job Details

Full-time
9 days ago

Benefits

Stock options
Health insurance
Dental insurance
Vision insurance

Qualifications

Data integrity assurance
Data Integration (Data management)
Defect resolution root cause analysis
Cloud data warehouses
Data validation techniques
Data structures
Data integrity and documentation
Data quality monitoring
Technical troubleshooting support
Root cause analysis
Cross-functional collaboration
BigQuery
Cross-functional communication
Statistical analysis tools
Database software proficiency

Full Job Description

Our client is seeking an Analytics Migration Engineer to join their team on a full-time basis. In this role, you will lead the migration and modernization of analytical code, data pipelines, and statistical models from legacy on-premise environments to Bitquery in modern cloud platforms (GCP), ensuring analytical continuity as outputs, data, and AI/ML models are validated across environments. *This role is hybrid 3 days a week in Dearborn, MI*

You will work across data engineering, analytics, and data science teams to maintain business-critical reporting and modeling while enabling a scalable, cloud-based analytics ecosystem. This role blends migration execution, validation, and optimization, giving you the chance to help shape a modern, future-ready analytics environment.

Required Skills & Experience

Bachelor's Degree in a quantitative or technical field (Computer Science, Data Science, Statistics, Mathematics, Engineering, or related)
Experience with analytical programming languages such as SAS 9.4, SAS Viya, Python, and SQL
Experience with cloud data platforms (GCP, AWS, or Azure) or supporting on-prem to cloud migrations
Experience with Bigquery
Experience validating data outputs, dashboards, and statistical or machine learning models
Strong understanding of data structures, ETL processes, and analytical workflows
Experience troubleshooting data discrepancies and performing root cause analysis
Ability to work across cross-functional teams, including data engineering, analytics, and business stakeholders
Strong attention to detail and commitment to data accuracy and quality

Desired Skills & Experience

Experience migrating SAS-based analytical environments to cloud platforms
Experience validating and deploying machine learning models in cloud environments (e.g., Vertex AI)
Familiarity with automated testing frameworks and data pipeline orchestration tools (e.g., Airflow, Cloud Composer)
Experience optimizing analytical code and queries for performance and scalability in the cloud
Experience supporting large-scale analytics or CRM data ecosystems
Strong documentation and process design skills to support repeatable migration frameworks
Ability to translate technical findings into clear insights for non-technical stakeholders
Experience in large enterprise or highly regulated data environments

What You Will Be Doing

Migrate legacy analytical code (SAS, SQL, Python) and data pipelines from on-prem environments to GCP, refactoring workflows for modern cloud architecture and best practices
Validate and reconcile outputs between legacy and cloud environments to ensure consistency and accuracy across data, reporting, and models
Perform regression testing and quality assurance across datasets, dashboards, and statistical/ML models to confirm functional parity post-migration

Support migration and re-platforming of AI/ML and statistical models, troubleshooting discrepancies in data, code logic, and performance
Partner with data engineering, analytics, and business teams to maintain continuity of business-critical reporting during migration
Build automated testing, monitoring, and validation processes to ensure long-term data and model integrity
Document migration processes, code changes, and best practices, and contribute to ongoing optimization of analytics workflows in the cloud

The Offer

Bonus eligible

You will receive the following benefits:

Medical, Dental, and Vision Insurance
Vacation Time
Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply Now

Refine Your Search

data engineer jobs in livonia mi

Data Engineer/GCP/Bigquery/Dearborn, MI Local

Data Engineer

Data Engineer

Data Engineer

Data and AI Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer

ICT Data Engineer

Senior Data Engineer

Data Insights & Analytics Senior Data Engineer (Contract)

AI/ML and Data Engineer

Senior Data Engineer – Agentic AI, Automation, and Data Platforms

Systems Engineer - Data and Insights

Data Engineer - Vehicle Configuration Optimization

Equipment & Data Relibility Engineer

Data Engineer

Data Scientist - Research Engineer (ML)

Azure Data Engineer - AI Integration Specialist with Microsoft Fabric and Power BI Expertise

I want to receive the latest job alert for data engineer in livonia mi

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected