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Senior Microsoft Data Engineer Jobs in Michigan (NOW HIRING)

Agile Tech Labs

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data Engineer Job Location: Lansing, MI (Hybrid) Job Type: Contract / Requirement: * 3-7 ... Experience developing dashboards and executive reports using Microsoft Power BI or similar BI tools.

Coric Industries LLC

Senior Data Engineer

Southfield, MI · On-site

$96K - $131K/yr

The Senior Data Engineer is responsible for the design, construction, and operation of the company's enterprise data warehouse, consolidating data from multiple ERP platforms and supporting business ...

Coric Industries LLC

Senior Data Engineer

Southfield, MI · On-site

$96K - $131K/yr

The Senior Data Engineer is responsible for the design, construction, and operation of the company's enterprise data warehouse, consolidating data from multiple ERP platforms and supporting business ...

Priority Waste

$96K - $130K/yr

Job Purpose Priority Waste is seeking a Senior Data Engineer to own the enterprise data platform ... Build and maintain data pipelines (medallion architecture) on Azure and Microsoft Fabric.

Global Information Technology

Senior Data Engineer

Lansing, MI · On-site

$107K - $146K/yr

Senior Data EngineerJob Location: Lansing, MI (Hybrid)Job Type: Contract / Requirement:3-7 years of ... Experience developing dashboards and executive reports using Microsoft Power BI or similar BI tools.

Corning

$104K - $125K/yr

As a Senior Data Engineer, you will design, build, optimize, and maintain scalable data pipelines ... or Microsoft SQL Server.- Experience with Kafka, Flink, or other real-time and streaming ...

Corning

$104K - $125K/yr

What is your role? As a Lead Data Engineer, you will serve as a senior individual contributor ... Microsoft SQL Server. - Experience with Kafka, Flink, or other streaming and near-real-time data ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly ... Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering ...

Pwc

Data Engineer - Senior Manager

Detroit, MI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

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 ...

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

The ideal candidate has strong expertise in data modeling, analytics engineering, Microsoft Fabric ... A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions ...

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Senior Microsoft Data Engineer information

What is a senior Microsoft data engineer?

A Senior Microsoft Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and Azure Synapse Analytics. They are responsible for developing data pipelines, optimizing data storage, and ensuring the integrity and security of data systems. In addition to technical expertise, they often lead teams, mentor junior engineers, and collaborate with other departments to deliver business intelligence and analytics solutions. Their work helps organizations make data-driven decisions by providing accessible, reliable, and well-structured data.

What are some common challenges senior Microsoft data engineers face when integrating data from multiple sources?

Senior Microsoft Data Engineers often encounter challenges related to data consistency, compatibility, and scalability when integrating data from various sources. Ensuring that disparate data formats and schemas align with the organization's data models can require extensive data transformation and mapping. Additionally, managing data quality and real-time synchronization across platforms like SQL Server, Azure Data Factory, and Power BI are crucial for reliable analytics. Collaborating closely with business analysts and software developers is key to overcoming these challenges and delivering robust data solutions.

What are the key skills and qualifications needed to thrive as a senior Microsoft data engineer, and why are they important?

A Senior Microsoft Data Engineer requires deep expertise in data modeling, SQL, ETL processes, and strong proficiency in Microsoft data platforms such as Azure SQL Database and Synapse Analytics, usually backed by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Power BI, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Outstanding problem-solving abilities, communication skills, and the ability to collaborate across teams are crucial soft skills. These competencies ensure robust, scalable data solutions that support business intelligence, operational efficiency, and informed decision-making.

What are the most commonly searched types of Microsoft Data Engineer jobs in Michigan?

The most popular types of Microsoft Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Senior Microsoft Data Engineer jobs?

Cities in Michigan with the most Senior Microsoft Data Engineer job openings:

Senior Microsoft Data Engineer jobs near you

Senior Robotics Data Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 20 days ago

Job description

Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
 
Key Responsibilities:
· Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
· Build infrastructure for high-throughput data capture from real robots and simulation environments.
· Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
· Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
· Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
· Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
· Establish data quality metrics that correlate with perception and grasping performance.
 
Required Qualifications:
· Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
· Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
· Proven experience building production-grade data pipelines for ML/AI systems.
· Strong hands-on experience with Python-based data tooling.
· Experience working with large, complex, multimodal datasets.
 
Preferred Qualifications:
· Direct experience supporting robotics perception, grasping, or manipulation AI.
· Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
· Experience with data labeling tools and annotation workflows at scale.
· Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
· Experience with Microsoft data ecosystems (Power BI, Azure data services).