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Decision Engineer Jobs in Rohnert Park, CA (NOW HIRING)

Track record of exemplary technical leadership and decision-making at a Principal or equivalent ... Experience improving engineering standards and practices for security, and building systems to ...

... decision-making for government and commercial organizations supporting disaster response ... About the Job As a Project Engineer, you will own the execution framework that turns Array Labs ...

DevOps Engineer (Founding Team)

Bodega Bay, CA ยท On-site

$62.50 - $85.75/hr

... s Engineer (Founding Team) Location: San Francisco Bay Area Type: Full-Time Compensation ... Auditability and replay systems for agent decision-making * Serving fine-tuned or open-source LLMs ...

... data-driven decision-making. This role requires a combination of technical skills, analytical ... Previous experience as an Azure Data Engineer or similar role. * Proven experience using data ...

Software & Systems Engineer

Bodega Bay, CA ยท On-site

$90K - $140K/yr

Build algorithms and models to foster data-driven decision making * Train technicians on correct ... Bachelor's degree in electrical engineering, computer engineering, or similar engineering ...

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Decision Engineer information

See Rohnert Park, CA salary details

$40.4K

$118.8K

$152.3K

How much do decision engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for decision engineer in Rohnert Park, CA is $118,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $150,600.00 per year, depending on experience, location, and employer.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

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

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What cities near Rohnert Park, CA are hiring for Decision Engineer jobs?

Cities near Rohnert Park, CA with the most Decision Engineer job openings:

Infographic showing various Decision Engineer job openings in Rohnert Park, CA as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $118,838 per year, or $57.1 per hour.

Senior Structural Engineer & Project Lead

ZFA Structural Engineers

Napa, CA โ€ข On-site

$95 - $115/hr

Other

Posted 14 days ago


Job description

ZFA Structural Engineers in Napa, California, is seeking a Senior Engineer with a bachelor's degree in civil, architectural, or structural engineering alongside professional licensing. This role involves managing project quality, mentoring other engineers, and maintaining strong client relationships. The position offers a competitive salary range of $95,000 to $115,000, varying based on experience and education.

The ideal candidate should demonstrate strong judgment in decision-making and have a deep understanding of engineering principles. Responsibilities include overseeing project financials, leading design teams, and enhancing technical standards within the office.

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