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Physics Software Engineer Jobs in Utah (NOW HIRING)

Software Engineer, Data

Lehi, UT ยท On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and ... Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics ...

Software Engineer, Data

Lehi, UT ยท On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and ... Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics ...

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and ... Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics ...

Eng Sr Prin II - Sys

UT ยท On-site

$136K - $231K/yr

... Physics, Statistics, Computer Science, or Software. 12+ years related experience (8+ years with a Master's degree). Engineer with in-depth analysis experience. Software programming experience.

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Physics Software Engineer information

See Utah salary details

$57.8K

$134.3K

$187.1K

How much do physics software engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for physics software engineer in Utah is $134,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $157,500.00 per year, depending on experience, location, and employer.

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

AspectPhysics Software EngineerData Scientist
Required CredentialsBachelor's or Master's in Physics, Computer Science, or related fieldBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentResearch labs, tech companies, aerospace, or defense industriesTech firms, finance, healthcare, or consulting companies
Industry UsagePhysics research, simulation, modeling, and software developmentData analysis, machine learning, predictive modeling, and data visualization

Physics Software Engineers focus on developing software for physics applications, simulations, and research, often working in research or engineering environments. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require strong programming skills, Physics Software Engineers emphasize physics principles, whereas Data Scientists focus on data analysis and statistical methods.

What are the key skills and qualifications needed to thrive as a physics software engineer?

To thrive as a Physics Software Engineer, you need a strong background in physics, mathematics, and computer science, typically supported by a degree in physics, engineering, or a related field. Proficiency in programming languages such as C++, Python, or MATLAB, and experience with simulation software or scientific computing libraries are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and interpreting complex data. These skills are vital for developing accurate, efficient software solutions that model physical systems and drive innovation in scientific and engineering projects.

What is a physics software engineer?

A Physics Software Engineer is a professional who develops, maintains, and optimizes software that simulates or models physical systems and phenomena. They often work at the intersection of physics, computer science, and engineering, creating tools for scientific research, simulations, or real-time physics engines used in industries like gaming, aerospace, or research institutions. These engineers typically have a strong background in both physics and programming, enabling them to translate complex physical formulas and concepts into efficient and accurate code. Their work is crucial for advancing technology in areas such as computational physics, virtual reality, and engineering design.

How does a physics software engineer typically collaborate with scientists and other engineering teams during a project?

Physics Software Engineers often work closely with physicists, data scientists, and hardware engineers to translate complex physical models into reliable software solutions. Collaboration usually involves regular meetings to clarify requirements, iterative development cycles to test and validate simulation accuracy, and ongoing feedback to refine algorithms. Effective communication and teamwork are essential, as engineers must bridge the gap between theoretical concepts and practical implementation while ensuring that software integrates smoothly with other systems. This collaborative environment fosters continuous learning and problem-solving, making the role both challenging and rewarding.
What cities in Utah are hiring for Physics Software Engineer jobs? Cities in Utah with the most Physics Software Engineer job openings:
Infographic showing various Physics Software Engineer job openings in Utah as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $134,301 per year, or $64.6 per hour.

Software Engineer, Data

Neighbor

Lehi, UT โ€ข On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

At Neighbor, we're building the largest hyperlocal marketplace the world has ever seen. We've raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we're just getting started!
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As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.
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You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics at Neighbor: ingesting data from production databases, APIs, and event streams, and serving it through our semantic layer and BI tools. You'll be the engineering backbone of a small, high-leverage data team.ย 
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Our stack: dbt and Dagster on Redshift and Athena, with Superset for BI.
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Primary Responsibilities
  • Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs).
  • Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness.
  • Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols.
  • Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities.
  • Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling.
  • Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives.
  • Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value.
  • Go deep on analysis yourself when the question demands it, you're comfortable in both the pipeline and the insight
  • Mentor our data analysts and data scientists on engineering best practices (code review, testing, version control, pipeline design), raising the technical bar across the team
Qualifications
  • 5+ years as software engineer including 3+ years with an emphasis in data engineering or analytics engineering
  • Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent practical experience
  • Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
  • Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
  • Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
  • Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
  • A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
  • Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa
Benefits
  • Generous Stock options
  • Medical, dental, and vision insurance
  • Generous PTO
  • 11 paid company holidays
  • 401(k) plan
  • Infant care leave
  • On-site gym/showers open 24/7
About Neighbor:
Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.
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Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email atย [emailย protected]. Check out our careers page to get to know us better as you think about your next step at Neighbor!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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