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Software Engineer Data Analyst Jobs in Michigan (NOW HIRING)

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 ...

KLA

Data Engineer - Palantir

Ann Arbor, MI · On-site

$112K - $134K/yr

... analytics engineering, or software engineering. • Hands‑on experience with Palantir Foundry, including: Data ingestion and transformation pipelines, Ontology design and management, Application or ...

Megan soft Inc

BI Data Analyst (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc. * Identify and implement avenues to optimize and enhance data analysis, interpretation and ...

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 ...

Optimal Inc.

Sr. Data Analyst

Superior, MI · On-site

$73K - $92K/yr

The goal of the analysis is to identify software improvements that improve user satisfaction ... Collaborate with product managers and engineers to translate data-driven insights into actionable ...

Orbotech

Data Engineer - Palantir

Ann Arbor, MI

$90K - $153K/yr

Minimum six (6) years of experience in data engineering, analytics engineering, or software engineering. * Handson experience with Palantir Foundry , including: * Data ingestion and transformation ...

Kla

Data Engineer - Palantir

Ann Arbor, MI

$90K - $153K/yr

Minimum six (6) years of experience in data engineering, analytics engineering, or software engineering. * Handson experience with Palantir Foundry , including: * Data ingestion and transformation ...

KLA Corporation

Data Engineer - Palantir

Ann Arbor, MI · On-site

$90K - $153K/yr

Minimum six (6) years of experience in data engineering, analytics engineering, or software engineering. * Handson experience with Palantir Foundry , including: * Data ingestion and transformation ...

Ford Motor Company

Platform Software Engineer

Dearborn, MI · On-site +1

$140K - $188K/yr

Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. You'll have... Master's degree or foreign equivalent in Computer Science, Electrical ...

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 ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

Data engineering, data product development and software product launches * At least three of the ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

KLA Corporation

Data Engineer - Palantir

Ann Arbor, MI · On-site

$90K - $153K/yr

Minimum six (6) years of experience in data engineering, analytics engineering, or software engineering. * Hands-on experience with Palantir Foundry , including: * Data ingestion and transformation ...

Zobility

Sr. Data Analyst

Superior Township, MI · On-site

$47.58 - $50.34/hr

The goal of the analysis is to identify software improvements that improve user satisfaction ... Collaborate with product managers and engineers to translate data-driven insights into actionable ...

Jackson Dawson

Senior Software Engineer

Dearborn, MI · On-site

$112K - $148K/yr

Overview LIVIUM is seeking an experienced, entrepreneurial Senior Software Engineer to join our ... Experience working with financial data, analytics, or business metrics is a strong plus Preferred ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field * Minimum 5 years of experience in data analytics, business ...

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Showing results 1-20

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 Jul 15, 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
Data Engineer

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 12 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

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 massive datasets in both batch and real-time. You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices.
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:
  • Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
  • Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
  • Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
  • CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
  • Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
  • Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.

Basic Qualifications:
  • Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline
  • A minimum of 5 years of experience in the data engineering and software development life cycle. Including:
    • A minimum of 4 years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
    • A minimum of 4 years of hands-on experience working with AWS cloud services
  • Comprehensive experience with one or more programming languages such as Python, Java, or Rust
  • Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
  • Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
  • Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
  • Experience with designing and implementing real-time pipelines
  • Experience with data quality and validation
  • Experience with API design
  • Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
  • Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
  • SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
  • DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
  • Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying "Clean Code" principles to data engineering.
  • Stream Processing: Experience with Apache Flink for low-latency stream processing.
  • Scripting: Proficiency in Python for automation, data analysis, or scripting.
  • Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
  • Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.

Preferred Qualifications:
  • Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
  • Expert knowledge and experience with custom ETL design, implementation and maintenance
  • Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
  • Certification in AWS or other cloud providers
  • Experience with Databricks notebook workflows
  • Experience with Terraform

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