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Data Platform Engineer Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Data Engineer Location: Okemos, MI (Hybrid/ Onsite) Duration: Long term Rate: Market F2F is must ... Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers.

Kiongroup

Senior AI Data Engineer

Grand Rapids, MI · On-site

$121K - $151K/yr

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

Kiongroup

Senior AI Data Engineer

Grand Rapids, MI

$121K - $151K/yr

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

FastTek

Core Senior Engineer

Dearborn, MI

$112K - $148K/yr

Ability to leverage best in-class data platform technologies to deliver platform features, and ... GCP Data Engineer, GCP Professional Cloud Skills Required: * Python, GCP, Angular, AWS, Azure ...

Deloitte

AI Engineer Consultant

Detroit, MI · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Kanak Elite Services Inc

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

DATA ENGINEER LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS ... Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers.

Omni Inclusive

Sr.Developer

Dearborn, MI · On-site

Ford Data Factory Platform Engineer Primary and Secondary skill set - GCP- (BigQuery,DataFlow,DataFusion,DataProc), Hadoop Eco system Roles/Responsibilities (5 - 8 day to day candidate ...

Kiongroup

Senior Data Engineer

Grand Rapids, MI · On-site

$133K - $204K/yr

We are forming multiple teams that will spearhead the creation of the platform's foundational ... We are seeking a dynamic and highly skilled Senior Data Engineer who has extensive experience ...

FastTek

Software Engineer

Dearborn, MI

Lead the ingestion and integration of data from various sources into the data platform, ensuring ... Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054989 * Employees in this job function are responsible for designing, building ... Design, implement and maintain existing and future data platforms like data warehouses, data lakes ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows. Responsibilities include ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054984 * Employees in this job function are responsible for designing, building ... Design, implement and maintain existing and future data platforms like data warehouses, data lakes ...

Corning

$104K - $125K/yr

This position is ideal for a hands-on Data Engineer who has strong Python and SQL fundamentals and is interested in growing within modern data platforms, manufacturing data, and AI-enabled solutions.

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Overview The Sr. Data Engineer will serve as a key technical contributor responsible for the design, development, and ongoing support of the company's enterprise data platform and business ...

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Showing results 21-40

All JobsData Platform Engineer JobsData Platform Engineer Jobs in Michigan

Data Platform Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do data platform engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data platform engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the most commonly searched types of Data Platform Engineer jobs in Michigan? The most popular types of Data Platform Engineer jobs in Michigan are:
What are popular job titles related to Data Platform Engineer jobs in Michigan? For Data Platform Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in Michigan look for? The top searched job categories for Data Platform Engineer jobs in Michigan are:
Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Google Cloud Platform Data Engineer

Stefanini

Dearborn, MI • On-site

Other

Re-posted 29 days ago

Job description


Stefanini Group is hiring!
Stefanini is looking for a Google Cloud Platform Database Engineer(Dearborn, MI)
For quick apply, please reach out to Adil Khan at /
We are seeking a Senior Cloud Database Engineer to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized 'golden paths' for cloud databases and the AI journey on Google Cloud Platform (Google Cloud Platform). You will act as a technical leader, shaping the vision and roadmap for our database platform, with a key focus on embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.
ResponsibilitiesLead adoption of Gemini Enterprise for query generation, debugging, and schema optimization.Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.Identify and implement AI-driven automation across the database lifecycle, including capacity planning, anomaly detection, and self-tuning.Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform strategies.Build intelligent agents on database AI frameworks to improve fault detection and reduce OLTP costs.Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.Promote well-documented, discoverable datasets.Align with GDPR and HIPAA frameworks; manage Google Cloud Platform IAM, service accounts, role bindings, and encryption.Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.Lead query optimization, indexing strategies, and troubleshooting across distributed systems.Enable secure CI/CD pipelines for database code and configurations.Establish scalable, secure, self-service database architectures on Google Cloud Platform.Build and maintain Terraform templates for automated provisioning and lifecycle management.Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.Develop complex data models and reliable ETL pipelines integrating multiple data sources.Advise engineering, data, and AI teams on best practices.Foster an AI-assisted, platform-first culture and mentor engineers.
Skills RequiredGoogle Cloud Platform
Skills PreferredArtificial Intelligence & Expert Systems
Experience Required6+ years of experience in IT; 4+ years in development.5+ years in database engineering with a focus on Google Cloud Platform AI enablement.Experience with Gemini Enterprise and understanding of MCP or equivalent patterns.Hands-on experience with Google Cloud Platform databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.Knowledge of Google Cloud Platform IAM, encryption, and CI/CD practices.Experience building Internal Developer Platforms (IDPs).Google Cloud Platform Professional Cloud Database Engineer or Data Engineer.Proficiency in Terraform and programming (Python/Java).Experience with Kubernetes (GKE) and database operators.Understanding of statistical analysis, data modeling, and ML libraries.
Education RequiredBachelor's Degree
Education PreferredCertfication Program
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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