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Associate Data Engineer Jobs in Fullerton, CA (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Pwc

Data Engineer - Senior Manager

Los Angeles, CA · On-site

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Pwc

Data Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Elevance Health

Senior Data Engineer

Los Angeles, CA · Hybrid

$114K - $155K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Elevance Health

Senior Data Engineer

Costa Mesa, CA · Hybrid

$113K - $154K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Adastra Corporation

Sr Data Engineer - Databricks

Irvine, CA · On-site

$123K - $147K/yr

Databricks Certified Data Engineer Associate or Professional certification * Experience with Structured Streaming, Auto Loader, Kafka, or Kinesis * Experience working with marketing or customer data ...

Adastra Corporation

Sr Data Engineer - Databricks

Irvine, CA · Hybrid

$123K - $147K/yr

Databricks Certified Data Engineer Associate or Professional certification * Experience with Structured Streaming, Auto Loader, Kafka, or Kinesis * Experience working with marketing or customer data ...

New

Adastra Corporation

Sr Data Engineer - Databricks

Irvine, CA · Hybrid

$123K - $147K/yr

Databricks Certified Data Engineer Associate or Professional certification * Experience with Structured Streaming, Auto Loader, Kafka, or Kinesis * Experience working with marketing or customer data ...

Elevance Health

Senior Data Engineer

Costa Mesa, CA · Hybrid

$112K - $152K/yr

Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Azure Data Engineer Associate • Microsoft Certified: Azure Database Administrator Associate • Microsoft Certified: Fabric Analytics Engineer Associate • Microsoft Certified: Azure Solutions ...

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Showing results 21-40

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Fullerton, CA

Associate Data Engineer information

See Fullerton, CA salary details

$10

$19

$32

How much do associate data engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for associate data engineer in Fullerton, CA is $19.55, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Fullerton, CA? The most popular types of Data Engineer jobs in Fullerton, CA are:
What are popular job titles related to Associate Data Engineer jobs in Fullerton, CA? For Associate Data Engineer jobs in Fullerton, CA, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Fullerton, CA look for? The top searched job categories for Associate Data Engineer jobs in Fullerton, CA are:
What cities near Fullerton, CA are hiring for Associate Data Engineer jobs? Cities near Fullerton, CA with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Fullerton, CA as of August 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $40,661 per year, or $19.5 per hour.

AWS Databricks Data Engineer

Tror AI for everyone

Los Angeles, CA • On-site

$123K - $148K/yr

Contractor

Re-posted 29 days ago

Job description

Job Title: AWS Databricks Data Engineer

Job Location: Los Angeles CA (Hybrid)

Hire type: FTE / CTH

Note: Only Locals to California

 

Job Description –

We are seeking a highly skilled AWS Data Engineer with strong expertise in SQL, Python, PySpark, Data Warehousing, and Cloud-based ETL to join our data engineering team. The ideal candidate will design, implement, and optimize large-scale data pipelines, ensuring scalability, reliability, and high performance. This role requires close collaboration with cross-functional teams and business stakeholders to deliver modern, efficient data solutions.

Key Responsibilities

1. Data Pipeline Development

  • Build and maintain scalable ETL/ELT pipelines using Databricks on AWS.
  • Leverage PySpark/Spark and SQL to transform and process large, complex datasets.
  • Integrate data from multiple sources including S3, relational/non-relational databases, and AWS-native services.

2. Collaboration & Analysis

  • Partner with downstream teams to prepare data for dashboards, analytics, and BI tools.
  • Work closely with business stakeholders to understand requirements and deliver tailored, high‑quality data solutions.

3. Performance & Optimization

  • Optimize Databricks workloads for cost, performance, and efficient compute utilization.
  • Monitor and troubleshoot pipelines to ensure reliability, accuracy, and SLA adherence.
  • Apply query optimization, Spark tuning, and shuffle minimization best practices when handling tens of millions of rows.

4. Governance & Security

  • Implement and manage data governance, access control, and security policies using Unity Catalog.
  • Ensure compliance with organizational and regulatory data‑handling standards.

5. Deployment & DevOps

  • Use Databricks Asset Bundles for deployment of jobs, notebooks, and configuration across environments.
  • Maintain effective version control of Databricks artifacts using GitLab or similar tools.
  • Use CI/CD pipelines to support automated deployments and environment setups.

Technical Skills (Required)

  • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Workflows, Delta Live Pipelines, Databricks Runtime, etc.).
  • Proven ability to implement robust PySpark solutions.
  • Hands‑on experience with Databricks Workflows & orchestration.
  • Solid knowledge of Medallion Architecture (Bronze/Silver/Gold).
  • Significant experience designing or rebuilding batch‑heavy data pipelines.
  • Strong background in query optimization, performance tuning, and Spark shuffle optimization.
  • Ability to handle and process tens of millions of records efficiently.
  • Familiarity with Genie enablement concepts (understanding required; deep experience optional).
  • Experience with CI/CD, environment setup, and Git-based development workflows.
  • Solid understanding of AWS cloud, including:
  • IAM
  • Networking fundamentals
  • Storage integration (S3, Glue Catalog, etc.)

Preferred Experience

  • Experience with Databricks Runtime configurations and advanced features.
  • Knowledge of streaming frameworks such as Spark Structured Streaming.
  • Experience developing real-time or near real-time data solutions.
  • Exposure to GitLab pipelines or similar CI/CD systems.

Certifications (Optional)

  • Databricks Certified Data Engineer Associate / Professional
  • AWS Data Engineer or AWS Solutions Architect certification

Thanks & Regards

Akhil

akhil@tror.ai