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Software Engineer Data Analyst Jobs in Dexter, MI

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

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · On-site

$119K - $158K/yr

... data analysis, model architecture, system integration, and business strategy. * Deployment and ... Minimum of eight (8) years of software engineering, with 3-5 years of experience in AI/ML, with a ...

Kla

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

... data analysis, model architecture, system integration, and business strategy. * Deployment and ... Minimum of eight (8) years of software engineering, with 3-5 years of experience in AI/ML, with a ...

KLA Corporation

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

... data analysis, model architecture, system integration, and business strategy. * Deployment and ... Minimum of eight (8) years of software engineering, with 3-5 years of experience in AI/ML, with a ...

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All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Dexter, MI

Software Engineer Data Analyst information

See Dexter, MI salary details

$42.4K

$123.6K

$169.1K

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 Dexter, MI is $123,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,100.00 and $131,000.00 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 near Dexter, MI are hiring for Software Engineer Data Analyst jobs? Cities near Dexter, MI with the most Software Engineer Data Analyst job openings:
Software Engineer Data Analyst jobs near you

Software Engineer - Data Workflows

Woven by Toyota

Ann Arbor, MI • On-site

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAM
The ADAS Simulation and Validation Tools group accelerates the development of advanced driver assistance systems (ADAS) and autonomous driving (L2-L4) software by building scalable simulation platforms, cloud infrastructure, and automated testing pipelines. Our tools enable global engineering teams to validate complex driving systems efficiently and with confidence.
We focus on large-scale data workflows that ingest, transform, and correlate real-world and simulated driving data. This data powers critical simulation experiments and analytics tools used to improve driving system performance and guide strategic decisions. Our team sits at the intersection of simulation, cloud engineering, and data analysis-solving challenges in automation, scalability, and system validation to support cutting-edge vehicle programs.
WHO WE'RE LOOKING FOR
We are seeking an experienced backend software engineer with a strong emphasis on data engineering and data analytics. The ideal candidate has experience with large-scale data ETL pipelines and schema design, web services and APIs, cloud infrastructure, and test automation. They will lead the design and deployment of cloud-native workflows for large-scale ADAS simulation and evaluation, including analytics applications, test orchestration, and traceability systems. By championing best practices, collaborating with cross-functional teams, and mentoring developers, you will play a key role in building our mission-critical AD/ADAS tools.
RESPONSIBILITIES
  • Backend and Data Software Engineering
    • Build and optimize end-to-end data workflows from collection to user-facing tools
    • Create efficient data models and automation pipelines for AD/ADAS systems
    • Develop robust APIs to support data analytics applications
    • Implement comprehensive testing strategies to ensure application reliability
    • Communicate technical concepts and data findings effectively to non-technical team members and leadership
  • Teamwork
    • Collaborate closely with the Product team and internal customers to optimize workflows and user experience.
    • Work with other engineers to promote best practices, conduct code reviews, and ensure consistency and quality across the codebase
  • Ownership
    • Write clear technical design documents and system documentation.
    • Deliver features through the full software lifecycle including requirements gathering, design, implementation, testing, documentation, release, and maintenance.

EXPERIENCE
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of professional software development experience in backend web services and data pipelines.
  • Technical Expertise
    • Experience with Python in a web and data context
    • Experience with SQL and data schema design.
    • Experience with data ingestion and ETL pipelines.
    • At least 1 year experience with cloud computing (AWS, Microsoft Azure, or Google Cloud)
    • Familiarity with NoSQL database systems such as DynamoDB.
  • Soft Skills
    • Strong problem-solving and debugging capabilities.
    • Strong written and verbal communication skills, including technical designs and documentation.
  • Preferred Qualifications
    • Experience with microservice and serverless cloud architectures.
    • Experience with performance optimization techniques in various database systems.
    • Experience with infrastructure as code (e.g., Terraform).

Interested candidates are encouraged to submit their application with a current resume and a portfolio/link to recent projects.
WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
• Excellent health, wellness, dental and vision coverage
• A rewarding 401k program
• Flexible vacation policy
• Family planning and care benefits
Our Commitment
• We are an equal opportunity employer and value diversity.
• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

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