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Data Engineer Data Analyst Jobs in Detroit, MI (NOW HIRING)

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

This role partners closely with data science, analytics, and engineering teams to deliver reliable, high-performance data solutions in a modern cloud lakehouse environment. Summary: The Senior Data ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake * Python, PySpark ...

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake * Python, PySpark ...

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on ...

Data Strategy-Manager

Detroit, MI · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

Detroit, MI · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Develop and maintain data structures within the data lake to support reporting and analytics.

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Develop and maintain data structures within the data lake to support reporting and analytics.

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability ...

The Data Analyst / Front‑End App Developer is responsible for designing, building, and maintaining analytics and front‑end data applications that support Purchasing data products.​ The role ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that ...

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Data Engineer Data Analyst information

See Detroit, MI salary details

$33.7K

$81.8K

$134.6K

How much do data engineer data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer data analyst in Detroit, MI is $81,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Detroit, MI? For Data Engineer Data Analyst jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Detroit, MI look for? The top searched job categories for Data Engineer Data Analyst jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Engineer Data Analyst jobs? Cities near Detroit, MI with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Detroit, MI as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $81,811 per year, or $39.3 per hour.

Senior Finance Data Engineer / Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 12 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers


Job description

We are seeking a Finance Data Engineer / Data Analyst to support the FP&A organization by developing and maintaining Power BI-based financial reporting and analytics solutions. The ideal candidate will have strong data management and modeling skills, paired with a foundational understanding of financial concepts.
Responsibilities Include:
  • Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
  • Ensure data accuracy, performance, and security across all FP&A reporting tools
  • Handle user access and role-level security within Power BI Service

Key Skills & Requirements:
  • Advanced proficiency in Power BI, Power Query, and DAX
  • Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
  • Ability to clean, transform, and standardize data into analytics-ready models
  • Experience deploying and maintaining dashboards in Power BI Service
  • Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
  • Strong analytical mindset with attention to data accuracy, consistency, and performance optimization

Basic Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
  • Minimum of 5 years' extensive experience with PowerBI
  • Minimum of 8 years' overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment

Preferred Qualifications:
  • Power BI certification or similar credentials
  • Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
  • Experience with Onestream, SAP or Oracle tools

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