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Software Engineer Data Analyst Jobs in Stanford, CA

Wing

Software Engineer, Data Infrastructure

Palo Alto, CA · Hybrid

$134K - $161K/yr

Wing is looking for a Software Engineer, Data Infrastructure to join our Flight Systems team. This ... for analysis, machine learning and AI. Your work will empower engineering and flight operations ...

PlusAI

Software Engineer - Data

Santa Clara, CA

$135K - $180K/yr

Build analytics tools that utilize the data pipeline to provide actionable insights into customer ... MS in Computer Science, Electrical Engineering, or related field * 1+ years of software engineering ...

PlusAI

Software Engineer - Data

Santa Clara, CA · On-site

$135K - $180K/yr

Build analytics tools that utilize the data pipeline to provide actionable insights into customer ... MS in Computer Science, Electrical Engineering, or related field * 1+ years of software engineering ...

PlusAI

Software Engineer - Data

Santa Clara, CA · On-site

$134K - $161K/yr

Build analytics tools that utilize the data pipeline to provide actionable insights into customer ... MS in Computer Science, Electrical Engineering, or related field * 1+ years of software engineering ...

Factory

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

About the Role Factory is bringing autonomy to software engineering, and we're hiring a Data ... analytics, usage reporting, and business operations. * Design, operate, and scale the pipelines ...

Airtable

Software Engineer, Data

San Francisco, CA · On-site

$196K - $278K/yr

As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data ... We partner closely with product analytics, product engineering, and data infrastructure to turn ...

Wing

Software Engineer, Data Infrastructure

Palo Alto, CA · On-site

$190K - $202K/yr

Wing is looking for a Software Engineer, Data Infrastructure to join our Flight Systems team. This ... Experience with data analysis tools (such as BigQuery, SQL), data visualization tools, and with ...

Verse

Software Engineer, Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

... software-engineering best practices. You will be an integral part of scaling our data platform as ... various analytical and AI/ML workflows * Foster a culture and mindset of well-designed 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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All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Stanford, CA

Software Engineer Data Analyst information

See Stanford, CA salary details

$52.3K

$152.4K

$208.6K

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 Stanford, CA is $152,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $161,600.00 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 Stanford, CA are hiring for Software Engineer Data Analyst jobs?

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

Software Engineer Data Analyst jobs near you

Software Engineer, Data Infrastructure

Palo Alto, CA • Hybrid

Wing
See more jobs at Wingexternal

$134K - $161K/yr

Full-time

Re-posted yesterday

Job description

About the Role:

Wing is looking for a Software Engineer, Data Infrastructure to join our Flight Systems team. This role is Hybrid based in our Palo Alto, California headquarters. The Data Infrastructure team builds the foundational systems that manage the vast data generated by our global fleet of autonomous aircraft. In this role, you will design, build, and maintain the scalable data pipelines that collect, process, and store aircraft telemetry and logs, making flight data securely accessible for analysis, machine learning and AI. Your work will empower engineering and flight operations teams to understand aircraft performance and debug issues in the fleet, while also providing the datasets necessary to train and validate machine learning models and leverage Large Language Model AI platforms. Ultimately, you'll provide the data backbone that is essential for scaling Wing's operations safely and efficiently.

What You'll Do: 

  • Partner cross-functionally with software engineers, aerospace engineers, and flight operations/business teams to develop, deliver and scale data pipelines essential for Wing's delivery business and aircraft operations.
  • Integrate diverse data sources across the business to provide a consistent, accurate view of flight operations, aircraft fleet, infrastructure, and business performance.
  • Develop and optimize a mix of batch and interactive services across data pipelines, backend systems, and data serving systems to power our operations.
  • Monitor, validate, and maintain data pipelines to ensure consistent performance and data integrity.

What You'll Need: 

  • 3-6 years of experience programming backend systems and/or data pipelines
  • BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
  • Demonstrated coding experience with one or more languages - C++, Java, Python, Go and/or JavaScript.
  • Experience with data analysis tools (such as BigQuery, SQL), data visualization tools, and with data processing algorithms (Hadoop, Flume, Spark, Apache Beam, MapReduce)
  • Ability to independently work with cross-functional teams to drive features to completion.

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