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Software Engineer Data Analyst Jobs in California

HeyGen

Software Engineer, Data

Los Angeles, CA · On-site

$180K - $220K/yr

Position Summary A Software Engineer with data engineering responsibilities to bridge the gap between core application development and large-scale data infrastructure. You will help build the data ...

CurieTech AI

Software Engineer, Data Acquisition

Sunnyvale, CA · On-site

$133K - $160K/yr

... data to analyze and enhance system performance. Qualifications : Required : • BS/MS/PhD in ... Our mission is to empower Integration engineers and architects with the help of AI agents. Founded ...

FieldAI

Software Engineer, Data Engineering

Irvine, CA · On-site

$115K - $170K/yr

About the Job Field AI is looking for a Data Engineer to build reliable data pipelines and ... analytics, ML, and deployment teams. This role is ideal for someone with a strong software ...

Gamma

Software Engineer, Data Systems

San Francisco, CA · On-site

$134K - $162K/yr

... from Kafka ingestion through Snowflake analytics, setting technical direction for data ... Required : • 10+ years as a data or software engineer with deep expertise in distributed systems ...

FieldAI

Software Engineer, Data Engineering

Irvine, CA · On-site

$115K - $170K/yr

About the Job Field AI is looking for a Data Engineer to build reliable data pipelines and ... analytics, ML, and deployment teams. This role is ideal for someone with a strong software ...

fal

Senior Software Engineer, Data

San Francisco, CA · On-site

$144K - $190K/yr

... analytical store (e.g., ClickHouse). • Design and operate the ETL backbone that powers cost ... Required : • 5+ years of experience as a software or data engineer, with a software-engineering ...

Gamma

Software Engineer, Data Systems

San Francisco, CA · On-site

$134K - $162K/yr

You'll work closely with analytics, product, and engineering leadership to enable data-driven ... years as a data or software engineer with deep expertise in distributed systems, data ...

Nuro

Software Engineer, Data Platform

Mountain View, CA · On-site

$136K - $163K/yr

They are seeking a Software Engineer for their Data Platform to design and develop scalable data ... and analytics solutions • Experience working with large scale distributed data systems • ...

Baton

Software Engineer - Data Platform

San Francisco, CA · On-site

$162K - $216K/yr

Software Engineer Department: Data Platform Location Hayes Valley, San Francisco, CA Basic Job ... Query Performance Analysis, Optimization, and Construction * Python Proficiency * Advanced ...

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Showing results 21-40

All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in California

Software Engineer Data Analyst information

See California salary details

$43.9K

$128K

$175.2K

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

As of Aug 8, 2026, the average yearly pay for software engineer data analyst in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

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.

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 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.
What cities in California are hiring for Software Engineer Data Analyst jobs? Cities in California with the most Software Engineer Data Analyst job openings:
Software Engineer Data Analyst jobs near you

Software Engineer, Data Infrastructure

Intrinsic

Mountain View, CA • On-site

$147K - $200K/yr

Other

Re-posted 21 days ago

Job description

Role

As a Software Engineer on the Data Infrastructure team, you will be responsible for designing, building, and maintaining the data infrastructure that powers our cutting-edge robotics systems. Your software will enable design, development, and operational robotic workflows, integrating with Kubernetes based cloud and on-device services. This includes the systems that collect and process data from our robots in the real world, and feed that data into our machine learning pipelines to train and evaluate the models that make our robots intelligent. You will collaborate with a passionate Product and Engineering team creating software that enables fleets of robots to build better.

How your work moves the mission forward
  • Design, develop, and maintain scalable and reliable data pipelines for collecting, processing, and storing large volumes of robotics data (e.g., sensor data, telemetry, logs).
  • Build Data pipelines to train the next generation of functional robot models.
  • Build and maintain tools and infrastructure for data exploration, analysis, and visualization.
  • Implement and maintain data security and privacy best practices.
  • Work with Customers, Product managers, and Researchers to customize data pipelines for analysis and research.
Skills you will need to be successful
  • At least 4 years of professional, post-graduate experience collaborating on medium to large software projects.
  • Experience with one of C++, Golang, Python.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
  • Excellent communication and collaboration skills.
Skills that will differentiate your candidacy
  • Experience with containerization technologies (e.g., Docker, Kubernetes).
  • Experience with data governance and compliance.
  • Experience with machine learning pipelines.
  • Familiarity with robotics systems. 

The base salary for this full-time position is between $147,200 - $200,900 (USD) + 15% bonus + equity + benefits. Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process.

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