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Associate Data Engineer Jobs in California (NOW HIRING)

Pwc

Data Engineer - Senior Manager

San Diego, CA

$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

Sacramento, CA

$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 ...

Adobe

Sr. Data Engineer

Los Angeles, CA

$123.40K - $148.20K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Adobe, Inc.

Sr. Data Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

... Engineer - Associate or AWS Certified Cloud Practitioner • 5+ years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS • 7+ years ...

Adobe

Sr. Data Engineer

San Francisco, CA

$134.90K - $162K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Adobe, Inc.

Sr. Data Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

... Engineer - Associate or AWS Certified Cloud Practitioner • 5+ years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS • 7+ years ...

Adobe

Sr. Data Engineer

San Francisco, CA

$134.90K - $162K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Adobe

Sr. Data Engineer

San Jose, CA

$134.20K - $161.10K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Adobe

Sr. Data Engineer

San Jose, CA

$134.20K - $161.10K/yr

Experience as an enterprise Data Engineer from a consulting background AWS Certified Data Engineer - Associate or AWS Certified Cloud Practitioner 5+ years experience in building/operating ...

Easterseals Southern California

Data Engineer

Irvine, CA · On-site

$87K - $100K/yr

Preferred experience in DevOps or similar. * Analyzes data usage trends to forecast capacity needs ... Azure Database Administrator Associate). EXPERIENCE: * Proven experience with Microsoft ecosystem ...

Essc

Data Engineer

Irvine, CA

$87K - $100K/yr

Preferred experience in DevOps or similar. * Analyzes data usage trends to forecast capacity needs ... Azure Database Administrator Associate). EXPERIENCE: * Proven experience with Microsoft ecosystem ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in California

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for associate data engineer in California is $18.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $19.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

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 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 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 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 are the most commonly searched types of Data Engineer jobs in California? The most popular types of Data Engineer jobs in California are:
What are popular job titles related to Associate Data Engineer jobs in California? For Associate Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in California look for? The top searched job categories for Associate Data Engineer jobs in California are:
What cities in California are hiring for Associate Data Engineer jobs? Cities in California with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you

Azure Data Engineer - Los Angeles CA - Hybrid

Tror AI for everyone

Los Angeles, CA • On-site

$123.40K - $148.20K/yr

Contractor

Posted 25 days ago

Job description

Job Title: Azure Data Engineer

Location: Los Angeles CA - Hybrid

Duration: Long Term Contract

Experience: 12 - 15 Years

Job Description:  

We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability, and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.

Technical Skills:

  • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
  • Proficiency in Azure Cloud Services.
  • Solid Understanding of Spark and PySpark for big data processing.
  • Experience in relational databases.
  • Knowledge on Databricks Asset Bundles and GitLab.

Preferred Experience:

  • Familiarity with Databricks Runtimes and advanced configurations.
  • Knowledge of streaming frameworks like Spark Streaming.
  • Experience in developing real-time data solutions.

Certifications:

Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)

Key Responsibilities:

Data Pipeline Development:

  • Build and maintain scalable ETL/ELT pipelines using Databricks.
  • Leverage PySpark/Spark and SQL to transform and process large datasets.
  • Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.

Collaboration & Analysis:

  • Work Closely with multiple teams to prepare data for dashboard and BI Tools.
  • Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.

Performance & Optimization:

  • Optimize Databricks workloads for cost efficiency and performance.
  • Monitor and troubleshoot data pipelines to ensure reliability and accuracy.

Governance & Security:

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

Deployment:

  • Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
  • Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.