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Trainee Databricks Data Engineer Jobs in Irvine, CA

BAU_L3 Support_Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

Required : • Strong experience with Databricks, Apache Spark, and performance tuning. • ... Data Engineering, ETL/ELT, and large-scale data platforms. • Experience with CI/CD, DevOps, ...

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 ... Databricks, etc.). • Exposure to real-time data processing or streaming systems. • Experience ...

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation ... Databricks, Snowflake, Redshift, BigQuery, or similar) and AI/ML platforms. * Strong understanding ...

Bachelor's or Master's degree in Computer Science, Engineering, or related field. * 10+ years in data engineering/architecture with substantial hands-on depth in Azure. * Expert in Azure Databricks ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Sr. Data Engineer Specialist

Brea, CA · On-site

$80K - $95K/yr

The Data Engineer will be responsible for building and maintaining the data pipelines and ... Experience with modern data platforms (Snowflake, Databricks, etc.). * Exposure to real-time data ...

Databricks Architect Role Summary The Databricks architect will define and govern the analytical ... Working closely with business, analytics, data engineering, and AI teams, this leader will ...

Showing results 21-40

Trainee Databricks Data Engineer information

See Irvine, CA salary details

$47.8K

$139.2K

$190.5K

How much do trainee databricks data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for trainee databricks data engineer in Irvine, CA is $139,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $147,600.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

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

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

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For Trainee Databricks Data Engineer jobs in Irvine, CA, the most frequently searched job titles are:

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The top searched job categories for Trainee Databricks Data Engineer jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Trainee Databricks Data Engineer jobs?

Cities near Irvine, CA with the most Trainee Databricks Data Engineer job openings:

BAU_L3 Support_Data Engineer

Tata Consultancy Service Limited

Irvine, CA • On-site

$110K - $150K/yr

Full-time

Re-posted 25 days ago


Job description

BAU/L3 Support _ Data Engineer L3 Support Engineer (Lead)
This role requires coordination between onshore, nearshore, and offshore teams
Required Skills
• Strong experience with Databricks, Apache Spark, and performance tuning.
• Expertise in Apache Airflow/Astronomer for workflow orchestration and DAG design.
• Deep understanding of Data Engineering, ETL/ELT, and large-scale data platforms.
• Experience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation.
• Strong platform management, monitoring, and incident management experience.
• Excellent leadership and stakeholder management skills.
Preferred Domain Experience
• Asset Management
• Investment Management
• Capital Markets
• Portfolio & Market Data Platforms
Job Summary
We are seeking an experienced Data Engineering Tower /Pod Lead with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The ideal candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives.
Key Responsibilities
• Lead and manage the Data Engineering Tower, overseeing multiple teams and delivery pods.
• Own end-to-end data platform delivery, operational excellence, and SLA adherence.
• Drive scalable data pipeline development, data quality, and platform reliability.
• Manage cross-functional dependencies, stakeholder communication, and issue escalations.
• Ensure high availability, monitoring, alerting, and production support readiness.
• Collaborate with business, portfolio management, and technology leadership teams.
Define and implement best practices for platform governance, operational readiness, and performance optimization
Salary Range- $110,000-$150,000 a year