ZipRecruiter

Log In

1

Data Engineer Jobs in Azusa, CA (NOW HIRING)

YO AI Labs

Senior Data Engineer

Glendale, CA

$112K - $152K/yr

Senior Data Engineer * Experience: 5-20 Years * Location: Glendale, USA * Job Type: Contract, On-site Must Haves: * Candidates must be willing to work on W2, no C2C. * 5+ years of data engineering ...

Crunchyroll, LLC

Data Engineer III

Los Angeles, CA · Hybrid

$123K - $148K/yr

The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. As a Software Engineer, you will play a pivotal role in ...

Jobsbridge

Big Data Engineer

Los Angeles, CA

$60 - $79.50/hr

Company Description Intelliswift Software, Inc As a Big Data Engineer, you will be an integral member of our threat intelligence service, i.e. auto focus, team responsible for architecture, design ...

Career Movement

Data Engineer

Santa Fe Springs, CA · On-site

$116K - $139K/yr

We're working with a growing home furnishings retailer that's modernizing its data infrastructure - think legacy SQL Server systems evolving into cloud-native pipelines feeding BI and emerging AI ...

Software Resources, Inc.

Senior Data Engineer

Glendale, CA · On-site

$90 - $93/hr

Seeking an experienced Sr. Data Engineer to support enterprise data engineering initiatives. This individual will design, build, and optimize scalable data solutions while working closely with cross ...

UCLA Health

Senior Data Engineer

Los Angeles, CA · On-site

$109K - $243K/yr

What You'll Do As a Senior Data Engineer, you will: * Design, develop, and maintain scalable data pipelines that ingest, transform, validate, and deliver data from complex enterprise applications and ...

UJET

AI Data Engineer

Los Angeles, CA

$123K - $148K/yr

We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing into Spiral." You will run technical discovery with new customers, design the integration that ...

Career Movement

Data Engineer

Santa Fe Springs, CA · Hybrid

$116K - $139K/yr

We're working with a growing home furnishings retailer that's modernizing its data infrastructure - think legacy SQL Server systems evolving into cloud-native pipelines feeding BI and emerging AI ...

Career Movement

Data Engineer

Santa Fe Springs, CA · Hybrid

$116K - $139K/yr

We're working with a growing home furnishings retailer that's modernizing its data infrastructure - think legacy SQL Server systems evolving into cloud-native pipelines feeding BI and emerging AI ...

Crunchyroll, LLC

Data Engineer III

Los Angeles, CA · On-site

$123K - $148K/yr

The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. As a Software Engineer, you will play a pivotal role in ...

UJET

AI Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing into Spiral." You will run technical discovery with new customers, design the integration that ...

Conch Technologies Inc

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

Senior Data Engineer Location: Anaheim, CA (Hybrid - 2 to 3 days onsite per week) Duration:6+ Months Note : W2 role No C2CJob Summary We are seeking an experienced Senior Data Engineer to join our ...

Crunchyroll, LLC

Staff Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

As the Staff Data Engineer for Concepts Lab , you will be the technical anchor for everything data in the lab: designing and building the pipelines, reports, and tooling that turn raw signals from ...

Mondo

Lead Data Engineer

Los Angeles, CA · On-site

$110K - $145K/yr

Mondo is seeking a Lead Data Engineer to oversee end-to-end data engineering delivery while acting as the primary client-facing program owner. The role involves ensuring scalable data solutions ...

Samyang America, Inc.

Sr. Data Engineer Specialist

Brea, CA · On-site

$118K - $141K/yr

The Data Engineer will build and maintain data pipelines and infrastructure to support the enterprise data platform, focusing on developing efficient workflows for analytics and AI applications.

previous page

Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Azusa, CA

Data Engineer information

See Azusa, CA salary details

$45.3K

$132K

$180.6K

How much do data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer in Azusa, CA is $131,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $139,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Azusa, CA?

The most popular types of Data Engineer jobs in Azusa, CA are:

What job categories do people searching Data Engineer jobs in Azusa, CA look for?

The top searched job categories for Data Engineer jobs in Azusa, CA are:

What cities near Azusa, CA are hiring for Data Engineer jobs?

Cities near Azusa, CA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Azusa, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, and 7% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $131,965 per year, or $63.4 per hour.

Senior Data Engineer

YO AI Labs

Glendale, CA

$112K - $152K/yr

Full-time

Re-posted 8 days ago

Job description

Job Description

  • Job title: Senior Data Engineer
  • Experience: 5-20 Years
  • Location: Glendale, USA
  • Job Type: Contract, On-site


Must Haves:

  • Candidates must be willing to work on W2, no C2C.
  • 5+ years of data engineering experience specifically developing large-scale data pipelines.
  • Databricks and Python expertise.


Qualifications:

  • 5+ years of data engineering experience developing large data pipelines
  • Proficiency in at least one major programming language.
  • Expertise on databricks and Python.
  • Hands-on production environment experience with distributed processing systems such as Spark
  • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
  • Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query).
  • Experience in developing APIs with GraphQL
  • Advanced understanding of OLTP vs OLAP environment.
  • Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling


Key Responsibilities:

  • Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines.
  • Build and maintain APIs to expose data to downstream applications.
  • Develop real-time streaming data pipelines.
  • Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake.
  • Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform.
  • Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more.
  • Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders.