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Math Software Engineer Jobs in Phoenix, AZ (NOW HIRING)

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$49 - $53/hr

Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience. * 4+ years of experience in software engineering, data engineering, or related technical roles.

Oscar Technology

Senior Software Engineer

Phoenix, AZ · On-site

$121K - $160K/yr

S. in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field. Preferred / Bonus Qualifications * Experience or background in CAD engines, CAE/CFD software ...

Garmin Ltd.

iOS Software Engineer 2

Chandler, AZ · On-site

$110 - $140/hr

Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field and a minimum of 1 year relevant experience or an equivalent ...

Garmin Ltd.

Embedded Software Engineer 1

Chandler, AZ · On-site

$65 - $90/hr

Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field OR an equivalent combination of ...

Citizens

Senior Software Engineer

Phoenix, AZ

$121K - $160K/yr

Bachelor's degree in Software Engineering, Computer Science, Engineering, Mathematics or related discipline Pay Transparency The salary range for this position is $ 107,360 - $ 161,000 per year plus ...

Citizens

Senior Software Engineer

Phoenix, AZ

$121K - $160K/yr

Bachelor's degree in Software Engineering, Computer Science, Engineering, Mathematics or related discipline Pay Transparency The salary range for this position is $ 107,360 - $ 161,000 per year plus ...

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All JobsMath Software Engineer JobsMath Software Engineer Jobs in Phoenix, AZ

Math Software Engineer information

See Phoenix, AZ salary details

$63K

$146.5K

$204K

How much do math software engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for math software engineer in Phoenix, AZ is $146,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $171,800.00 per year, depending on experience, location, and employer.

What is a math software engineer?

Math Software Engineers are professionals who design, develop, and optimize software that performs complex mathematical computations. They often work on algorithms, numerical analysis, and simulation tools used in scientific research, finance, engineering, or data analysis. Their work ensures that mathematical models and computations are both accurate and efficient within various applications. Math Software Engineers typically have a strong background in mathematics, computer science, and programming languages such as Python, C++, or MATLAB.

How do math software engineers typically collaborate with other teams during the development process?

Math Software Engineers often work closely with cross-functional teams, such as data scientists, product managers, and front-end developers, to ensure mathematical models and algorithms are accurately implemented in software products. Collaboration involves regular meetings to discuss requirements, problem-solving sessions to address computational challenges, and code reviews for maintaining mathematical integrity. Communicating complex mathematical concepts in an accessible way is a key part of the role, enabling teams to create robust and efficient solutions that meet user needs.

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

To thrive as a Math Software Engineer, you need a strong background in mathematics, computer science, and algorithm development, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or MATLAB, along with experience using mathematical libraries and tools like NumPy or SciPy, is essential. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills that enhance performance in this role. These skills ensure the development of robust, efficient, and accurate mathematical software solutions that meet complex computational requirements.

What is the difference between Math Software Engineer vs Data Scientist?

AspectMath Software EngineerData Scientist
Required CredentialsBachelor's or higher in Computer Science, Mathematics, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentSoftware development teams, R&D labs, tech companiesData analysis teams, research departments, tech firms
Industry UsageDeveloping algorithms, modeling, simulationData analysis, predictive modeling, insights generation

Math Software Engineers focus on developing mathematical algorithms and software solutions, often working on simulations and modeling. Data Scientists analyze data to extract insights and build predictive models. While both roles require strong math skills, Math Software Engineers are more involved in software development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Math Software Engineer jobs in Phoenix, AZ?

For Math Software Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Math Software Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Math Software Engineer jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Math Software Engineer jobs?

Cities near Phoenix, AZ with the most Math Software Engineer job openings:

Math Software Engineer jobs near you
Infographic showing various Math Software Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $146,478 per year, or $70.4 per hour.

Software Engineer

Judge Group, Inc.

Phoenix, AZ • On-site

$49 - $53/hr

Other

Re-posted 6 days ago

Key responsibilities

  • Design, develop, and operationalize cloud-native data platforms and pipelines on Google Cloud.

  • Build and deploy AI-enabled data capabilities to automate data management, governance, metadata management, data quality, and compliance processes.

  • Create and maintain streaming and batch data pipelines using technologies such as Spark, Kafka, Flink, and Airflow.

Job description

Location: Phoenix, AZ Salary: $49.00 USD Hourly - $53.00 USD Hourly Description:
Software Engineer, AI-Powered Data Platforms (Google Cloud)
We are not accepting C2C or 1099 arrangements.
Location: Chandler, AZ; Charlotte, NC; Minneapolis, MN; Irving, TX (Hybrid)
About the Role
We are seeking a Software Engineer with expertise in modern data engineering and AI-powered platforms to help design, build, and scale next-generation data solutions on Google Cloud. In this role, you will develop intelligent data capabilities that enable efficient data ingestion, transformation, governance, and consumption across enterprise-scale applications.
You will partner with engineers, product managers, architects, and cross-functional stakeholders to deliver scalable, secure, and automated data platforms powered by AI and agentic technologies.
Responsibilities
  • Design, develop, and operationalize cloud-native data platforms and pipelines on Google Cloud.
  • Build and deploy AI-enabled data capabilities to automate data management, governance, metadata management, data quality, and compliance processes.
  • Implement scalable data ingestion, processing, and distribution solutions supporting large-scale analytics and business applications.
  • Develop agent-based solutions using modern AI frameworks, Retrieval-Augmented Generation (RAG), GraphRAG, and Model Context Protocol (MCP).
  • Create and maintain streaming and batch data pipelines using technologies such as Spark, Kafka, Flink, and Airflow.
  • Partner with principal engineers, product managers, and data engineering teams to define technical roadmaps and deliver strategic data initiatives.
  • Evaluate technical challenges, recommend solutions, and contribute to architectural decisions for enterprise data platforms.
  • Ensure reliability, scalability, security, and operational excellence across data infrastructure and services.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
  • 4+ years of experience in software engineering, data engineering, or related technical roles.
  • Experience building and supporting cloud-based data solutions.
  • Proficiency in Python and distributed data processing frameworks such as Spark or PySpark.
  • Experience designing and implementing modern data architectures, including Data Lakehouse platforms.
  • Experience with Google Cloud Platform (Google Cloud Platform) services including:
    • BigQuery
    • Google Cloud Storage (GCS)
    • Dataproc
    • Cloud Composer
  • Experience building data pipelines using Kafka, Spark Streaming, Flink, or similar technologies.
Preferred Qualifications
  • Hands-on experience with AI and agentic frameworks, including LangChain, LangGraph, Agent Development Kit (ADK), or similar technologies.
  • Experience implementing Retrieval-Augmented Generation (RAG) and GraphRAG solutions.
  • Experience leveraging MCP (Model Context Protocol) to build agent-based data applications.
  • Strong understanding of data governance, metadata management, data quality, and regulatory compliance.
  • Experience operating in a matrixed organization and leading cross-functional technical initiatives.
  • Excellent problem-solving, communication, and stakeholder management skills.
What You'll Bring
  • A passion for building scalable, intelligent data platforms.
  • A strong foundation in distributed systems and cloud-native architectures.
  • The ability to translate complex business requirements into practical technical solutions.
  • A collaborative mindset and a drive to deliver high-impact outcomes in a fast-paced environment.

Industry Experience: Data Engineering, AI/ML Platforms, Cloud Engineering, Distributed Systems, Enterprise Data Architecture.
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