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Remote Modeling Simulation Engineer Jobs in Mountain House, CA

Senior Manager, Analytics (Dublin, CA)

Dublin, CA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with Data Engineering teams to enhance data accessibility, automation, and ... Solid understanding of data pipelines, data modeling, and cloud-based data platforms (e.g. AWS Glue ...

Data Analyst - Test & Learn

Dublin, CA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Job We currently have an exciting remote opportunity for a Test & Learn Analyst to join ... software engineers and business stakeholders, we are looking for you! What You'll Do | Key ...

Solution Architect

Walnut Creek, CA ยท On-site +1

$165K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote (work for home eligible) Light travel may be required Company Overview : Celerity is a ... developers, project managers, and business analysts, to ensure cohesive and efficient project ...

Solution Architect

Walnut Creek, CA ยท Remote

$165K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote (work for home eligible) Light travel may be required Company Overview : Celerity is a ... developers, project managers, and business analysts, to ensure cohesive and efficient project ...

Senior Director, Sales

Livermore, CA ยท On-site +1

$315K - $414K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... modeling, reliability, and design de-bug, to qualification and production test. Semiconductor ... A role is remote-eligible only when it is listed as "Remote" in the job location.

PMA

Pleasanton, CA ยท Remote

$40 - $45/hr

PMA Location: Remote but Local preferred Duration: 6 months Rate: $40 - $45/hr on W2 Excel ... Experience with basic financial modeling or data management * Experience with presenting to ...

AI Solutions Architect

Stockton, CA ยท Remote

$64.50 - $85/hr

You'll also work directly with our product and engineering teams, represent the customer's point of ... Comfortable working in Excel or Google Sheets, and reading or building the kind of models that ...

Showing results 21-31

Remote Modeling Simulation Engineer information

See Mountain House, CA salary details

$42K

$133K

$205.3K

How much do remote modeling simulation engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote modeling simulation engineer in Mountain House, CA is $133,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $157,900.00 per year, depending on experience, location, and employer.

What is a remote modeling simulation engineer?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

How does a remote modeling simulation engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are the key skills and qualifications needed to thrive as a remote modeling simulation engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

What cities near Mountain House, CA are hiring for Remote Modeling Simulation Engineer jobs?

Cities near Mountain House, CA with the most Remote Modeling Simulation Engineer job openings:

Infographic showing various Remote Modeling Simulation Engineer job openings in Mountain House, CA as of June 2026, with employment types broken down into 61% Full Time, 8% Part Time, and 31% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $133,015 per year, or $63.9 per hour.

Senior Manager, Analytics (Dublin, CA)

SavvyMoney

Dublin, CA โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

**To be considered for this position, candidates must be legally authorized to work in the United States on a full-time basis without the need for employer sponsorship now or in the future.


SavvyMoney is a leading San Francisco East Bay fintech company. We provide integrated credit score and personal finance solutions to 1,600 + bank and credit union partners nationally. The SavvyMoney solutions integrate with more than 43 digital banking platforms.

SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company.

The Senior Manager, Analytics is responsible for leading and scaling SavvyMoney’s analytics function. This role reports to VP of Data and Analytics, and will oversee a high-performing team of data analysts, fostering their professional growth while remaining hands-on in analytics, data storytelling, and insights delivery.

In this role, you will partner cross-functionally with Product, Marketing, Data Science and Engineering to drive a deeper understanding of our business, optimize performance, and accelerate the company’s use of advanced analytics and AI.

This is both a strategic and executional role, ideal for a leader who thrives at the intersection of data, business impact, and team development.

Key Responsibilities

Team Leadership & Development

  • Lead, coach, and develop a high-performing team of data analysts.

  • Build clear career paths and growth opportunities for team members.

  • Foster a culture of collaboration, curiosity, and analytical excellence.

Analytics Strategy & Execution

  • Define and execute the analytics roadmap to align with business and product goals.

  • Oversee delivery of key analytics initiatives across customer insights, performance tracking, and product optimization.

  • Drive quarterly and annual planning for the analytics function, aligning with company priorities.

  • Ensure analytics projects are scoped, prioritized, and executed effectively across stakeholders

  • Define and track success metrics/KPIs for analytics initiatives and report impact regularly to the stakeholders.

Hands-On Analytics

  • Drive event instrumentation, data pipelines, and KPI definitions for new product launches to ensure measurement is in place before release.

  • Conduct deep-dive analysis to uncover insights into user behavior, FI performance, and product usage.

  • Design and maintain dashboards, reports, and self-service tools to empower business stakeholders.

  • Communicate insights effectively to both technical and non-technical audiences.

Cross-Functional Partnership

  • Partner with Product, Marketing, GTM, Product Management and Engineering to deliver actionable insights that shape business and product strategies.

  • Collaborate with Data Engineering teams to enhance data accessibility, automation, and infrastructure scalability.

  • Serve as a key analytics representative in cross-functional planning and leadership discussions.

  • Own data quality and metric integrity across analytics systems by partnering with the Data Architect to define data standards, monitoring, and issue resolution processes.

  • Partner with Data Scientists to support exploratory data analysis (EDA) and feature selection.

  • Collaborate with the AI Analytics Lead to adopt AI-powered solutions and develop scalable self-service analytics capabilities for business stakeholders.

AI adoption

  • Stay current on emerging AI and analytics trends and evaluate their applicability to SavvyMoney’s products and business.

Qualifications

  • Bachelor’s or Master’s degree in a quantitative field including Analytics, Software Engineering, or related discipline.

  • 8+ years of experience in data analytics, business intelligence, or related roles.

  • 3+ years of experience managing data analytics professionals.

  • Proven ability to lead both strategically and tactically- from roadmap development to hands-on execution.

  • Strong SQL, Python skills and experience with BI/visualization tools (e.g.- Tableau, Power BI, or Looker).

  • Hands-on experience leveraging modern AI platforms like Claude, OpenAI, and Gemini to build analytics, automation, and decision-support solutions.

  • Solid understanding of data pipelines, data modeling, and cloud-based data platforms (e.g. AWS Glue, Snowflake, and Redshift).

  • Excellent communication, stakeholder management, and storytelling skills.

  • Experience in fintech or SaaS environments preferred.

Base Salary

The Annual Base salary for this position will be between $165,000.00 and $180,000.00 based upon experience/geography + Annual Bonus Potential

Additionally we provide

  • Equity Compensation Package

  • Flexible Time Off (FTO) - take time off as needed to rest and recharge.

  • Medical, Dental, Vision – 100% premium paid for employee

  • Disability/Life Insurance

  • Opportunity for learning and career growth with a top Bay Area technology company

  • Reimbursement for remote work setup

  • Monthly stipend for phone and internet

  • Team building events, culture activities, all hands events

  • Paid time off to volunteer and serve the community

  • Half day Fridays

  • 401k matching contribution

  • Beautiful California East Bay offices in Dublin, CA

SavvyMoney’s EEO Statement

SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer.

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