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Software Engineer Data Analyst Jobs in Valley Center, CA

The Marlin Alliance

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

... analyst, geospatial engineer, machine learning engineer, or software engineer * Hands on Keyboard ... Data modeling and PowerPoint presentations for leadership and stakeholder presentations

The Marlin Alliance

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

... analyst, geospatial engineer, machine learning engineer, or software engineer * Hands on Keyboard ... Data modeling and PowerPoint presentations for leadership and stakeholder presentations

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience deploying analytics workloads on a platform as a service (PaaS) and software as a ...

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience deploying analytics workloads on a platform as a service (PaaS) and software as a ...

Rangam Consultants

Software Engineer

San Diego, CA · On-site

Conduct root cause analysis utilizing expert knowledge of Panther and Panther Fusion software ... Review software requirements, architecture, design documentation, and defect data to identify ...

Booz Allen Hamilton, Inc.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... Experience with data engineering in Databricks or Spark * Ability to be self-motivated and pay ...

CYNET SYSTEMS

Data Analyst IV

San Diego, CA · On-site

$109 - $114/hr

Knowledge of query tools and/or statistical software. * Strong analytical and organizational skills ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Leidos

Software Engineer

San Diego, CA · On-site

$69K - $125K/yr

... data analysis. * Conduct periodic at-sea testing aboard small vessels and assist with post ... asynchronous programming. * Experience developing software interfaces for hardware such as DAQ ...

Leidos

Software Engineer

San Diego, CA · On-site

$69K - $125K/yr

... data analysis. * Conduct periodic at-sea testing aboard small vessels and assist with ... asynchronous programming. * Experience developing software interfaces for hardware such as DAQ ...

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Showing results 21-40

All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Valley Center, CA

Software Engineer Data Analyst information

See Valley Center, CA salary details

$48.2K

$140.4K

$192.1K

How much do software engineer data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for software engineer data analyst in Valley Center, CA is $140,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $148,800.00 per year, depending on experience, location, and employer.

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.

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 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.

What cities near Valley Center, CA are hiring for Software Engineer Data Analyst jobs?

Cities near Valley Center, CA with the most Software Engineer Data Analyst job openings:

Software Engineer Data Analyst jobs near you

Senior Software Engineer, Quantitative Evaluations

Waymo

San Diego, CA • Hybrid

$130K - $171K/yr

Full-time

Re-posted 16 days ago

Job description

The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!

This role follows a hybrid work schedule and reports to an Engineering Manager.

You will:

  • Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.
  • Use simulation creatively and mine real world driving logs to measure  driving performance.
  • Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.
  • Champion code health and best practices in a large and complex code base.
  • Analyze data and make recommendations on how to improve metric quality and interpretability.
  • Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.

You have:

  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
  • Strong self-motivation to navigate complex systems and pursue open-ended problems to completion
  • 2-3 years of industry experience with
    • Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL
    • Performing statistical analyses
    • Building data processing pipelines
    • Writing, reviewing, and merging code following industry standards for code health and maintainability
    • Quant/data fluency is a top requirement

We prefer:

  • Experience coding in C++
  • Experience with ML
  • Experience with A/B experiment infrastructure
  • Experience building and validating metrics to measure quality in complex systems
  • Exposure to ad-hoc data analysis tools for rapid modeling and prototyping
  • Experience working in the AV industry

#LI-Hybrid

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