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Software Engineer Data Analyst Jobs in Michigan (NOW HIRING)

Minimum Qualifications * 2+ years of experience in data analytics, data engineering, software development, or a related technical field. * Experience with Python, SQL, and JavaScript/TypeScript.

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 ...

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 ...

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 ...

... 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 ...

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 ...

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 ...

Senior Software Engineer

Allen Park, MI · Remote

$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 ...

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 ...

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 ...

... and analytical needs of large enterprises. OneStream operates at enterprise scale, supporting ... Familiarity with data formats and markup languages such as JSON and XML. * Working knowledge of ...

Data Analyst Senior

Royal Oak, MI · On-site

$80K - $101K/yr

Performs the initial analysis of data, develops customized reports to facilitate meaningful ... science, application programming, software development, information systems, database ...

... and analytical needs of large enterprises. OneStream operates at enterprise scale, supporting ... Familiarity with data formats and markup languages such as JSON and XML. * Working knowledge of ...

... and analytical needs of large enterprises. OneStream operates at enterprise scale, supporting ... Familiarity with data formats and markup languages such as JSON and XML. * Working knowledge of ...

Showing results 21-40

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 Sep 1, 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 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.

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 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.

What cities in Michigan are hiring for Software Engineer Data Analyst jobs?

Cities in Michigan with the most Software Engineer Data Analyst job openings:

Full-time

Posted 12 days ago


Job description

Overview
Technomics is a growing employee-owned, decision analytics company that provides professional services and management solutions to help our clients make better decisions faster . We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently . We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter expertise, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Analysts have the knowledge, skills, abilities and initiative to deliver timely, practical and innovative solutions to our clients as part of high-performing project teams typically composed of a mix of junior and mid-level analysts.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position is located in Troy, MI.
Position-Specific Overview
Data Analysts will support a U.S. Government client in developing data-driven solutions using Palantir Foundry and related technologies. The role will support data integration, transformation, analytics, and user-facing applications that improve access to mission and business information.
The individual will work with technical teams and end users to develop data pipelines, analytical workflows, and applications, translate requirements into practical solutions, and support testing and implementation. Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development, cloud technologies, and UX/UI design. Direct Palantir Foundry experience is preferred but not required.
Responsibilities and Qualifications
  • Develop, maintain, and improve data pipelines, transformations, analytical workflows, and user-facing data products in Palantir Foundry and related technologies.
  • Work with client stakeholders and technical teams to understand requirements, troubleshoot data issues, and translate business needs into practical analytical solutions.
  • Analyze, clean, integrate, and validate data from multiple sources to support reporting, analysis, and operational workflows.
  • Develop queries, scripts, dashboards, applications, and other analytical products using tools such as Python, SQL, JavaScript/TypeScript, and low-code applications.
  • Support data modeling, database design, testing, documentation, and deployment of new capabilities.
  • Apply UX/UI and user-centered design principles to improve the usability of dashboards, workflows, and analytical applications.
  • Use modern software development practices including Git, testing, version control, and collaborative development.

Minimum Qualifications
  • 2+ years of experience in data analytics, data engineering, software development, or a related technical field.
  • Experience with Python, SQL, and JavaScript/TypeScript.
  • Experience developing ETL/ELT pipelines and working with relational databases and structured data.
  • Experience with low-code application development, cloud technologies, or UX/UI design.
  • Ability to work directly with users to understand requirements and develop data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with Palantir Foundry or comparable data and analytics platforms.
  • Experience with PySpark, Spark, or other large-scale data processing technologies.
  • Experience integrating practical AI capabilities, such as LLMs or machine learning models, into user-facing applications, workflows, or analytical products.
  • Prior experience supporting U.S. Government clients or working in regulated environments.

Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.