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Software Engineer Data Analyst Jobs in Michigan (NOW HIRING)

Stefanini Group

Sr Software Engineer

Southfield, MI

$112K - $148K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering ... Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud ...

New

Stefanini Group

Sr Software Engineer

Southfield, MI · On-site

$112K - $148K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering ... Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud ...

New

Stellantis

Data Analyst / Front End

Auburn Hills, MI

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 ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

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 ...

Integrated Resources INC

DATA ANALYST

Detroit, MI

... software development including design, coding, testing, debugging, implementation, and support ... programming languages and tools (Oracle 12c; MS SQL Server 2012) Knowledge of logical data modeling ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... data transformation, analysis, and performance tuning. * DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines. * Software ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

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 ...

Ford Motor Company

Senior Software Engineer

Allen Park, MI · On-site

$111K - $147K/yr

That's where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We ... This Full-Stack Software Engineer position is ideal for a technically oriented, forward-thinking ...

New

QUANTUM TECHNOLOGIES LLC

Data Analyst

Brooklyn, MI · On-site

$80/hr

Data Analyst Location: Brooklyn, MI Duration: 6 Months + Extension Bill Rate: $80/hr Job Type: W2 ... Experience with BMC Control-M workload automation software. Experience with GIT version control ...

New

General Motors

Data Analyst

Warren, MI · On-site

Partner cross-functionally with Purchasing, PFEP, packaging engineers, container teams, logistics ... Ability to lead large-scale development projects with third-party software and analytics companies ...

Stellantis

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 ... Uphold rigorous software engineering standards, including comprehensive unit/integration testing ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

... data transformation, analysis, and performance tuning. * DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines. * Software ...

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Showing results 21-40

All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Michigan

Software Engineer Data Analyst information

See Michigan salary details

$38.8K

$113.1K

$154.7K

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

As of Aug 8, 2026, the average yearly pay for software engineer data analyst 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 is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

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

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.
What cities in Michigan are hiring for Software Engineer Data Analyst jobs? Cities in Michigan with the most Software Engineer Data Analyst job openings:
Software Engineer Data Analyst jobs near you

Sr Software Engineer

Stefanini Group

Southfield, MI

$112K - $148K/yr

Contractor

Posted 3 days ago

New

Job description

Stefanini, Inc. seeks a Software Engineer, Sr. reporting to office in Southfield, MI to 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. Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks. Design, build, and maintain highly scalable, fault-tolerant, and performant data pipelines to ingest and process data. Architect and implement a unified data model capable of connecting all relevant data elements across various sources. Leverage Google Claud Platform (GCP) services to build and manage robust data storage, processing, and orchestration layers. Implement rigorous data quality gates, validation rules, bad record handling, and comprehensive logging. Ensure strict adherence to data security policies, IAM role management, and GCP perimeter security. Work closely with AI/ML engineers, data scientists, and product managers to understand data requirements, integrate data solutions with multi-agentic systems, and optimize data delivery. Implement robust testing strategies. Continuously monitor, optimize, and troubleshoot data pipelines. 

Qualified candidates must have a Bachelor's degree in Computer Science, Computer Engineering, Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud Platform (GCP); ETL/ELT data processing pipelines; data transformation and data integration; BigQuery (Data warehouse and analytics); cloud storage; CI/CD pipeline implementation; AI/ML; Java; and PowerShell. 
Work at various, unanticipated locations throughout the US is possible. Relocation costs not paid. This is not travel but would be based on a change in the customers. Relocation would be once a year at most. 
 
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Education:Employment Type: CONTRACTOR

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