ZipRecruiter

Log In

2

Entry Level Microsoft Data Engineer Jobs in Detroit, MI

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code ... Experience: Proven experience in a data engineering or similar role, with specific experience ...

Stem Xpert

Data Engineer

Plymouth, MI

$109K - $130K/yr

Work as SQL Server d/base admin & set up SQL security Audit & write prgms for Big Data solutions ... Position also reqs certification as Microsoft SQL Server 2000 d/base Dsgn & Implmtn. Additional ...

Pwc

AI Engineer

Detroit, MI · On-site

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Detroit, MI

$99K - $232K/yr

... data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Reliable Software Resources

Azure Data Architect

Detroit, MI · On-site

$58 - $75.75/hr

Experience migrating traditional data warehouses to Microsoft Fabric. * Experience with Delta Lake and medallion architecture. * Knowledge of Fabric Data Engineering, Data Factory, Notebooks, and ...

next page

Showing results 1-20

All JobsMicrosoft Data Engineer JobsEntry Level Microsoft Data Engineer JobsEntry Level Microsoft Data Engineer Jobs in Detroit, MI

Entry Level Microsoft Data Engineer information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

How much do entry level microsoft data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for entry level microsoft data engineer in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

What does an entry level Microsoft data engineer do?

An Entry Level Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. Their role typically involves collecting, transforming, and loading (ETL) data from various sources to enable data analysis and reporting. They work closely with other IT professionals to ensure data integrity, performance, and security while learning best practices in data engineering. This position is ideal for those starting their careers in data engineering and looking to develop expertise in Microsoft's data ecosystem.

What are the key skills and qualifications needed to thrive as an entry level Microsoft data engineer?

To thrive as an Entry Level Microsoft Data Engineer, you need foundational knowledge of SQL, data modeling, and a relevant degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and possibly certifications like Microsoft Certified: Azure Data Engineer Associate are typically expected. Strong analytical thinking, attention to detail, and effective communication help you stand out when collaborating with teams and translating data requirements. These skills are crucial for ensuring reliable data pipelines, facilitating data-driven decisions, and supporting organizational growth.

What are some common challenges faced by entry level Microsoft data engineers when working with large datasets?

Entry-level Microsoft Data Engineers often encounter challenges such as ensuring data integrity during extraction, transformation, and loading (ETL) processes, especially when dealing with large or complex datasets in Azure environments. Optimizing query performance and managing resource costs can also be difficult for those new to cloud-based data solutions. However, these challenges are excellent learning opportunities, as they encourage developing strong troubleshooting skills and familiarity with tools like Azure Data Factory, SQL Server, and Power BI. Support from more experienced team members and access to structured onboarding programs can help new hires quickly become proficient and confident in their daily responsibilities.

What is the difference between Entry Level Microsoft Data Engineer vs Data Analyst?

AspectEntry Level Microsoft Data EngineerData Analyst
Required CredentialsMicrosoft certifications, SQL, basic cloud knowledgeExcel, SQL, data visualization tools
Work EnvironmentData pipelines, cloud platforms, database managementData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with data infrastructure needsMarketing, retail, finance for insights and reporting

Both roles often require SQL and basic data skills, but Data Engineers focus on building data systems and pipelines, while Data Analysts interpret data and create reports. Entry Level Microsoft Data Engineers typically work more with cloud platforms and data infrastructure, whereas Data Analysts focus on data visualization and insights. The roles are complementary but differ in technical depth and focus areas.

What are popular job titles related to Entry Level Microsoft Data Engineer jobs in Detroit, MI?

For Entry Level Microsoft Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Entry Level Microsoft Data Engineer jobs in Detroit, MI look for?

The top searched job categories for Entry Level Microsoft Data Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Entry Level Microsoft Data Engineer jobs?

Cities near Detroit, MI with the most Entry Level Microsoft Data Engineer job openings:

Entry Level Microsoft Data Engineer jobs near you
Infographic showing various Entry Level Microsoft Data Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

Senior Robotics Data Engineer - Only W2

Warren, MI • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

$99K - $135K/yr

Contractor

Re-posted 5 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).