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Trainee Databricks Data Engineer Jobs in Pasadena, CA

Databricks Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

Los Angeles CA (Hybrid) The Databricks Architect is responsible for designing, implementing, and optimizing scalable data analytics and data engineering solutions on the Databricks Lakehouse Platform.

Sr Data Engineer

Santa Monica, CA

$119K - $161K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147075 Technology is at the heart of Disney's past ... You will work across AWS, Databricks, Unity Catalog, Snowflake and Airflow to create reliable ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

Sr Data Engineer

Santa Monica, CA · On-site

$155K - $208K/yr

Job Posting Title: Sr Data Engineer Req ID: 10153288 Technology is at the heart of Disney's past ... Our tech stack includes AWS, Databricks, Snowflake, Spark and Airflow * Help architect data ...

Data Engineer

Pasadena, CA

$124K - $150K/yr

Experience with Fabric and Databricks. * Knowledge of data modeling techniques and experience with ... ACCO Engineered Systems is one of the largest mechanical contractors in the country. Since 1934 ...

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

Experience with Fabric and Databricks. * Knowledge of data modeling techniques and experience with ... ACCO Engineered Systems is one of the largest mechanical contractors in the country. Since 1934 ...

Hands-on experience with distributed systems such as Databricks compute using tools/libraries such ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica ...

... engineering pipelines using Python and PySpark; and building Lakehouse or batch/streaming data pipelines in Databricks. * Data warehousing on Snowflake; * Data acquisition and transformation tools ...

New

Sr Data Engineer

Santa Monica, CA · On-site

$148K - $199K/yr

Hands-on experience with distributed systems such as Databricks compute using tools/libraries such ... Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

AI Engineer

Pasadena, CA · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

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 ...

Data Engineer

Los Angeles, CA · On-site

$150K - $230K/yr

Builds semantic layers with dbt, Snowflake, or Databricks. * Python for reusable pipeline and data ... Background in Operations Research, industrial engineering, or quantitative finance. Compensation ...

Data Engineer

Los Angeles, CA · On-site

$150K - $230K/yr

Builds semantic layers with dbt, Snowflake, or Databricks. * Python for reusable pipeline and data ... Background in Operations Research, industrial engineering, or quantitative finance. Compensation ...

Showing results 21-40

Trainee Databricks Data Engineer information

See Pasadena, CA salary details

$48.5K

$141.5K

$193.6K

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

As of Aug 21, 2026, the average yearly pay for trainee databricks data engineer in Pasadena, CA is $141,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $150,000.00 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 Pasadena, CA?

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

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

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

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

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

Databricks Architect

Tror AI for everyone

Los Angeles, CA • On-site

$69.75 - $91.50/hr

Contractor

Re-posted 11 days ago


Job description

Job Title: Databricks Architect

Location : Los Angeles CA  (Hybrid)

The Databricks Architect is responsible for designing, implementing, and optimizing scalable data analytics and data engineering solutions on the Databricks Lakehouse Platform. This role requires deep expertise in cloud platforms (Azure/AWS/GCP), distributed data processing, Delta Lake architectures, and modern data engineering practices. The architect will collaborate with cross-functional teams to define data strategies, ensure platform reliability, and enable advanced analytics, ML, and BI use cases.

 

Key Responsibilities

  • Architecture & Design
  • Design end-to-end Databricks Lakehouse architectures for data ingestion, processing, storage, and consumption.
  • Define and implement Delta Lake patterns, including medallion architecture (Bronze/Silver/Gold).
  • Develop scalable data pipelines using PySpark, Spark SQL, and Databricks workflows.
  • Architect solutions for structured, semi-structured, and unstructured data.
  • Engineering & Implementation
  • Build robust ETL/ELT pipelines with Databricks notebooks, jobs, and workflows.
  • Design and implement high-performance streaming solutions using Structured Streaming.
  • Optimize Spark jobs for cost, performance, and scalability.
  • Implement CI/CD and automation using Databricks Repos, Git, and DevOps pipelines.
  • Cloud & Platform Expertise
  • Architect solutions across Azure/AWS/GCP leveraging native cloud services (e.g., Azure Data Factory, AWS Glue, GCP Dataflow).
  • Ensure security, governance, and compliance through Unity Catalog, RBAC, and encryption.
  • Monitor workloads and optimize cluster configurations for performance and cost.
  • Collaboration & Leadership
  • Work closely with data engineers, data scientists, BI teams, and business stakeholders.
  • Act as a subject matter expert (SME) for Databricks best practices, standards, and patterns.
  • Conduct architectural reviews and guide teams on design decisions.
  • Lead PoCs, evaluate new features, and drive platform adoption.
  • Quality, Governance & Observability
  • Define standards for data quality, lineage, observability, and governance.
  • Implement automated testing frameworks for pipelines and notebooks.
  • Establish performance baselines and monitoring dashboards.

Required Skills & Experience

Technical Skills

  • 7+ years of experience in data engineering/architecture.
  • 3+ years of hands-on experience with Databricks.
  • Strong expertise in Spark, PySpark, SQL, and distributed data processing.
  • Deep understanding of Delta Lake features: ACID transactions, OPTIMIZE, ZORDER, Auto Loader.
  • Experience with workflow orchestration, jobs, and Databricks REST APIs.
  • Hands-on expertise with at least one cloud platform:
  • Azure (preferred): ADF, ADLS, Key Vault, Event Hub, Azure DevOps
  • AWS: S3, Glue, Lambda, Kinesis
  • GCP: GCS, Dataflow, Pub/Sub
  • Familiarity with CI/CD, Git, DevOps, and Infrastructure-as-Code (Terraform preferred).
  • Soft Skills
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management.
  • Ability to lead design discussions and guide technical teams.
  • Strong documentation and architectural blueprinting skills.

Preferred Qualifications

  • Databricks certifications, such as:
  • Databricks Certified Data Engineer Professional
  • Databricks Certified Machine Learning Professional
  • Databricks Lakehouse Fundamentals
  • Experience with MLflow, Feature Store, or MLOps workflows.
  • Experience working in regulated industries (BFSI, healthcare, etc.).