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Software Engineer Data Analyst Jobs in California

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 ...

SOFTWARE ENGINEER, DATA (STARLINK) At SpaceX we're leveraging our experience in building rockets ... Experience optimizing in-stream, big data processing and analytics frameworks like Apache Kafka ...

SOFTWARE ENGINEER, DATA (STARLINK) At SpaceX we're leveraging our experience in building rockets ... Experience optimizing in-stream, big data processing and analytics frameworks like Apache Kafka ...

... 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 ...

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 ...

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 ...

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 ...

This role sits at the intersection of software engineering and data engineering. You'll partner ... Design and operate the ETL backbone that powers cost, margin, and usage analytics with durable ...

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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 Jul 15, 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 Engineering

Software Engineer, Data Engineering

Anduril Industries

Costa Mesa, CA • On-site

$121K - $145K/yr

Full-time

Posted 24 days ago


Anduril rating

9.4

Company rating: 9.4 out of 10

Anduril

Based on 7 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 71,263 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. As a Software Engineer specializing in Data Engineering, you will build high-throughput data systems that connect design, manufacturing, and operations, ensuring efficient data flow and performance optimization across various platforms.
Responsibilities:
• Design and Implement Data Access Layers: Develop high-performance data access layers to handle massive datasets, ensuring quick and efficient data retrieval and processing.
• Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
• Data Integration: Integrate data from various business systems including PLM, ERP, and MES, ensuring seamless and efficient data flow.
• Performance Optimization: Monitor and optimize the performance of data access layers and databases to meet the demands of large-scale, real-time data processing.
• Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to ensure the data architecture supports various applications and analytical needs.
• Maintain Documentation: Write and maintain comprehensive documentation for data access layers, databases, and data integration processes.
Qualifications:
Required:
• Proficiency in database management systems (e.g., SQL, NoSQL databases like MongoDB, Cassandra).
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Strong understanding of data architecture principles and best practices.
• Proficiency in programming languages used for data engineering (e.g., Python, Java, Scala).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP).
• Strong problem-solving skills and ability to handle large volumes of data.
• Excellent collaboration and communication abilities.
• Eligible to obtain and maintain an active U.S. Secret security clearance.
Preferred:
• Previous experience in a manufacturing or industrial setting.
• Experience with real-time data processing and stream processing technologies (e.g., Kafka, Flink).
• Knowledge of data governance and data quality management practices.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
Company:
Anduril Industries is a defense technology company that specializes in developing advanced autonomous systems to enhance national security. Founded in 2017, the company is headquartered in Costa Mesa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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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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