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Data Warehouse Developer Jobs in Michigan (NOW HIRING)

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054989 * Employees in this job function are responsible for designing, building ... GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1054984 * Employees in this job function are responsible for designing, building ... GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ...

Amway Inc.

Cloud Data Engineer

Ada, MI

$92K - $113K/yr

Data Engineering & Enterprise Integrations/ Data Warehousing Salary Range: $92,196/yr - $113,890/yr plus bonus Location: Ada, MI (onsite) What we're looking for: We are seeking an experienced Data ...

Next Step Systems

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

Farmington Hills MI Jobs, Data Architect, Business Intelligence, BI, Data Warehouse, ETL, Data Marts, Data Lake, 3ND, Dimensional Models, Software Engineer, Programming, Programmer Analyst, Michigan ...

Stem Xpert

Data Architect

Detroit, MI

$63 - $81.25/hr

Netezza, Vertica, Exadata) preferred 4. Requires expert level knowledge and understanding of data warehouse architecture, application design, systems engineering, SDLC and integration. 5. Must have ...

Sun, Inc.

Senior Data Engineer

Southfield, MI

$97K - $132K/yr

Career Site Header Job Summary The Senior Data Engineer is a key resource in building and maintaining a modern enterprise data lake and data warehouse in Sun's Azure data platform. They will ...

Pwc

Data Engineer - Manager

Detroit, MI

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Manager

Grand Rapids, MI

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Sun Communities

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

Career Site Header Job Summary The Senior Data Engineer is a key resource in building and maintaining a modern enterprise data lake and data warehouse in Sun's Azure data platform. They will ...

Sun Communities, Inc.

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

Career Site Header Job Summary The Senior Data Engineer is a key resource in building and maintaining a modern enterprise data lake and data warehouse in Sun's Azure data platform. They will ...

Sun RV Resorts

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

Career Site Header Job Summary The Senior Data Engineer is a key resource in building and maintaining a modern enterprise data lake and data warehouse in Sun's Azure data platform. They will ...

Stem Xpert

Data architect

Lansing, MI

$64.75 - $83.25/hr

The company is primarily focused on information technology, engineering, healthcare, financial ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

Pyramid Consulting, Inc.

Big Data Engineer

Detroit, MI · Hybrid

$100K - $110K/yr

Immediate need for a talented Big Data Engineer . This is a Fulltime opportunity with long-term ... Design, optimize, and maintain Client data warehouse solutions, including schema design, query ...

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All JobsData Warehouse Developer JobsData Warehouse Developer Jobs in Michigan

Data Warehouse Developer information

See Michigan salary details

$11

$47

$63

How much do data warehouse developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data warehouse developer in Michigan is $47.44, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $56.59 per hour, depending on experience, location, and employer.

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

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

What are some common challenges Data Warehouse Developers face when integrating data from multiple sources?

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

What are Data Warehouse Developers?

Data Warehouse Developers are IT professionals who design, build, and maintain data warehouse systems that consolidate and organize data from multiple sources. They create data models, develop extraction, transformation, and loading (ETL) processes, and ensure data integrity and optimal performance for analytics and reporting. Their work supports business intelligence efforts by making large volumes of data accessible and useful for decision-making.

What Is a Data Warehouse Developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

What is the difference between Data Warehouse Developer vs Data Analyst?

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

More about Data Warehouse Developer jobs
What are popular job titles related to Data Warehouse Developer jobs in Michigan? For Data Warehouse Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Warehouse Developer jobs in Michigan look for? The top searched job categories for Data Warehouse Developer jobs in Michigan are:
What are popular job titles related to Data Warehouse Developer jobs in MI? For Data Warehouse Developer jobs in MI, the most frequently searched job titles are:
Data Warehouse Developer jobs near you
Infographic showing various Data Warehouse Developer job openings in Michigan as of June 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $98,668 per year, or $47.4 per hour.
Data Engineer

Data Engineer

FastTek

Dearborn, MI

$105K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Data Engineer #1054989
Job Description:
  • Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately

Key Responsibilities:
  • Collaborate with business and technology stakeholders to understand current and future data requirements
  • Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
  • Ensure optimum performance and identify improvement opportunities

Skills Required:
GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API
  • GCP - Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
  • Big Data - Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
  • Data Warehousing - Experience designing and maintaining data warehouse solutions (e.g., BigQuery, Snowflake, Redshift). For example, modeling a star schema for a retail analytics platform that supports reporting on sales, inventory, and customer behavior.
  • Artificial Intelligence & Expert Systems - Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
  • API - Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.

Skills Preferred:
Google Cloud Platform
  • Google Cloud Platform - Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Experience Required:
  • Senior Engineer Exp: 10+ years Data Engineering work experience

Experience Preferred:
  • As a Senior Data Engineer, you will architect and scale end-to-end data pipelines on GCP, transforming complex telemetry and enterprise data into high-quality, analytics-ready assets using Medallion architectures.
  • You will lead the implementation of robust CI/CD workflows, rigorous data governance, and security controls while mentoring junior talent and driving engineering best practices.
  • By collaborating with cross-functional stakeholders and optimizing cloud performance, you will ensure the data platform remains secure, cost-effective, and highly available to power critical business insights.
  • Operational Excellence: Using Terraform, Git, and Airflow to ensure reproducible, secure, and cost-optimized cloud infrastructure.
  • Governance & Quality: Prioritizing data lineage, PII protection, and observability to maintain high trust in data assets.
  • Collaboration: Acting as a bridge between technical teams (Data Science, Security) and business stakeholders to deliver self-service analytics. Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
  • Proven experience in building and deploying RAG systems, including the use of **Vector Databases**.
  • Proficiency in Python programming.
  • Solid experience with SQL for data manipulation and querying.
  • Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
  • Basic understanding and practical experience with Machine Learning model fine-tuning.
  • Familiarity with data engineering concepts and practices.
  • Expertise in prompt engineering techniques for interacting with LLMs.
  • Experience with the OpenAI SDK.
  • Experience developing robust APIs, preferably with **FastAPI**.
  • Proficiency with **version control systems (e.g., Git)**.
  • Experience with **containerization technologies (e.g., Docker)**.

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Certification Program

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.