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Data Engineer 1 Jobs in California (NOW HIRING)

Software Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... least one programming language such as Python, Java, Go, or Scala Understanding of data engineering fundamentals including data pipelines, batch processing, and real-time data streaming Hands-on ...

Data Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Role Overview As a Data Engineer at Serval, you'll be our first dedicated data hire, which means you'll own the entire data stack from day one and build the data function that serves the whole ...

Data Engineer

Gardena, CA · On-site

$116K - $140K/yr

Data Engineer Near Los Angeles, CA Full Time What You Should Expect * Develop, integrate, and ... Experience in 1+ data warehouse / ETL-type projects * Follows best practices around APIs and data ...

Data Engineer

Gardena, CA · On-site

$116K - $140K/yr

Data Engineer Near Los Angeles, CA Full Time What You Should Expect * Develop, integrate, and ... Experience in 1+ data warehouse / ETL-type projects * Follows best practices around APIs and data ...

Data Engineer

San Francisco, CA · Hybrid

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from ... Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Lead Data Engineer

Oakland, CA · On-site

$131K - $157K/yr

Lead Data Engineer Location: 1 day onsite @ Oakland office. Job Overview The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of ...

Proficiency in SQL and at least one general-purpose programming language (ex, Python). * Exposure to Enterprise Systems such as MRP, CRM, ERP, etc. * Foundational understanding of data modeling ...

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Who We Are Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Who We Are Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation ...

Software Data Engineer

Cupertino, CA · On-site

$150 - $278/hr

Strong proficiency in at least one programming language such as Python, Java, Go, or Scala * Understanding of data engineering fundamentals including data pipelines, batch processing, and real-time ...

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Experience/Skills Required:1. Bachelor?s degree in Computer Science, Information Technology, or ... Remote is fine but preferably hybrid data engineer with more than 4-5 yrs of exp Required ...

... least one programming language such as Python, Java, Go, or Scala Understanding of data engineering fundamentals including data pipelines, batch processing, and real-time data streaming Hands-on ...

Data Engineer

San Francisco, CA · On-site

$320K - $405K/yr

About the Role As a Data Engineer, you will be an early member of the Data Science & Analytics team ... Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Required : • 5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow. • Proficient in at least one programming language (preferably ...

This role is for one of our clients Compensation: $60 - $85 per hour A rapidly growing AI organization is seeking a Data Engineer - Finance to build and maintain the data infrastructure that powers ...

Data Engineer

San Ramon, CA · On-site

$125K - $150K/yr

ShiftCode Analytics, Inc. is seeking a Data Engineer to integrate and extract data using ETL ... ShiftCode Analytics Inc is a Tampa, FL based firm formed with one sole purpose of delivering best ...

Data Engineer

Los Angeles, CA · On-site

$150K - $230K/yr

Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing ... You'll build it in close partnership with Data Platform Engineering, Data Analysts, and the ...

Data Engineer

Los Angeles, CA · On-site

$150K - $230K/yr

Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing ... You'll build it in close partnership with Data Platform Engineering, Data Analysts, and the ...

Data Engineer

Carlsbad, CA · On-site

$174K - $261K/yr

About us One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to ... Our mission is to enable our community of data scientists, analysts, and developers to derive ...

Showing results 41-60

Data Engineer 1 information

See California salary details

$43.9K

$128K

$175.2K

How much do data engineer 1 jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer 1 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 a data engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are the key skills and qualifications needed to thrive as a data engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

What are some common challenges faced by entry-level data engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

Infographic showing various Data Engineer 1 job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Software Data Engineer

Apple

Cupertino, CA • On-site

$141K - $169K/yr

Full-time

Posted 26 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Join Apple's Analytics Platforms & Experiences (APX) team as a Software Engineer and be part of a team that is redefining what modern data engineering looks like. APX is part of Apple Services Engineering - the engine that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store, and more. We build the frameworks, tools, and platform solutions that unlock observability, deliver actionable insights, and enable data quality-driven orchestration at massive scale. Our work drives real, measurable gains in efficiency and productivity across some of Apple's most critical services.
As a member of the Data Engineering Platform (DEP) team - the foundational layer of our platform - you will help build scalable backend services and developer tools that make it easier for teams across Apple to build and operate analytics pipelines efficiently. If you are passionate about data engineering, eager to grow, and excited about making a real impact at Apple scale - this is the role for you.
Description
As part of the Data Engineering Platform (DEP) team, you will help design and build the core platform capabilities that teams across Apple rely on every day. You will collaborate closely with experienced engineers, contribute to scalable backend services that integrate big data technologies with microservices, and help shape intuitive developer tools and automation systems that reduce friction and drive productivity. This is a great opportunity for an engineer who wants to grow fast, work on hard problems, and do the best work of their life at Apple.
Minimum Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related technical field
3+ years of software engineering experience, with a solid foundation in building and shipping production-quality code
Strong proficiency in at least one programming language such as Python, Java, Go, or Scala
Understanding of data engineering fundamentals including data pipelines, batch processing, and real-time data streaming
Hands-on experience designing and building backend services and APIs
Working knowledge of distributed systems and big data technologies such as Spark, Kafka, or Hadoop
Exposure to AI-driven development practices with a genuine enthusiasm for leveraging AI tools to improve engineering productivity and code quality
A curious, self-driven mindset with a strong interest in how AI is shaping the future of software and data engineering
Strong problem-solving ability with a collaborative approach to working across teams
Clear and concise communicator who can translate technical concepts for diverse audiences
Preferred Qualifications
Hands-on experience with big data technologies such as Apache Spark, Kafka, Flink, or Airflow
Some exposure to microservices architecture and cloud platforms such as AWS, GCP, or Azure
Familiarity with data orchestration frameworks and pipeline management tools such as Airflow or Prefect
Basic experience with containerization tools such as Docker and Kubernetes
Awareness of data quality, observability, and monitoring concepts in data pipelines
Some exposure to developer tooling, internal platforms, or automation scripting
Ability to ramp up quickly, take ownership of tasks, and contribute meaningfully in a collaborative team environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976