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Software Engineer Data Analyst Jobs in Irvine, CA

FieldAI

Software Engineer, Data Engineering

Irvine, CA · On-site

$122K - $147K/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 ...

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 ...

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All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Irvine, CA

Software Engineer Data Analyst information

See Irvine, CA salary details

$47.8K

$139.2K

$190.5K

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 Irvine, CA is $139,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $147,600.00 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 Irvine, CA are hiring for Software Engineer Data Analyst jobs?

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

Software Engineer Data Analyst jobs near you
Infographic showing various Software Engineer Data Analyst job openings in Irvine, CA as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $139,236 per year, or $66.9 per hour.

Manufacturing Engineer, Data Analyst

Costa Mesa, CA • On-site

Anduril Industries
Guided Missile and Space Vehicle Manufacturing • 501 - 1,000 employees

9.1

Company rating: 9.1 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Great coworkers

People enjoy working here

Good employer

Learn more about Anduril Industriesexternal

$78K - $100K/yr

Full-time

Re-posted 2 days ago

Job description

ABOUT THE TEAM

Anduril's Digital Manufacturing team is seeking a Manufacturing Engineer, Data Analyst to join our team. The Digital Manufacturing team plays a pivotal role in optimizing manufacturing operations through the implementation and management and advanced digital solutions. The team ensures that manufacturing processes are efficient, scalable, and integrated with the latest industry standards.

ABOUT THE ROLE

As a Manufacturing Engineer, you will be involved in the day to day decision-making for the product lines, functions, and new products under development. The right person for this role has strong technical and analytical skills that can be applied and implemented in a real world environment to drive outcomes for the business.

WHAT YOU'LL DO

  • Work with manufacturing leadership to develop and implement manufacturing strategies that enhance productivity, reduce costs, and improve quality.
  • Conduct detailed analysis of manufacturing data, including production metrics, process flow, and resource utilization, to identify areas for improvement.
  • Collaborate with cross-functional teams to ensure alignment of manufacturing strategies with overall business objectives.
  • Monitor industry trends and best practices to keep our manufacturing processes at the cutting edge.
  • Create and maintain comprehensive documentation of manufacturing processes and strategies for continuous improvement.
  • Lead and facilitate kaizen, lean manufacturing, or six sigma initiatives to optimize production processes.
  • Provide strategic input into capacity planning and workforce management to ensure scalability of operations.
  • Implement and refine manufacturing KPIs to measure performance and drive accountability.
  • Support new product development from a manufacturing perspective, ensuring manufacturability and cost-effectiveness.
REQUIRED QUALIFICATIONS
  • Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Operations Management, Data Science, Software Engineering or related field. Master's degree preferred (either MBA or MS of Engineering).
  • Experience and expertise developing insights and solutions using data visualization tools: Python, Typescript, SQL, Tableau, PowerBI, PLTR Foundry, MS VBA, etc...
  • 5+ years of experience in a manufacturing strategy or analysis role, with a track record of tangible insights and their implementations that drove results.
  • Ability to quickly understand current operations and potential issues on the product line and can speak the language.
  • Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy.
  • Strength working with manufacturing leadership to conceptualize solutions and gain / understand requirements
  • Familiarity with manufacturing software and advanced proficiency in statistical analysis and data presentation tools.
  • Excellent communication and presentation skills, capable of conveying complex information in an understandable manner.
  • Experience with lean manufacturing principles and process improvement methodologies such as Six Sigma.
  • Ability to work collaboratively in a team environment and lead cross-functional projects.
  • Adept at managing multiple priorities in a fast-paced manufacturing environment.
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities
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About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

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Benefits

Hours and flexibility

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