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Commission 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;

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 ...

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

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

$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 ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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

Commission Databricks Data Engineer information

See Pasadena, CA salary details

$48.5K

$141.5K

$193.6K

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

As of Aug 21, 2026, the average yearly pay for commission 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 Commission Databricks Data Engineer vs Commission Data Engineer?

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

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:

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

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

Databricks Architect

Tror AI for everyone

Los Angeles, CA • On-site

$69.75 - $91.50/hr

Contractor

Re-posted 10 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.).