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Databricks Engineer Jobs in Long Beach, CA (NOW HIRING)

Mondo

Senior Databricks Data Engineer

Marina Del Rey, CA · On-site

$200K - $225K/yr

Senior Databricks Data Engineer Location-Type: Onsite, Santa Monica, CA (office relocation to Century City anticipated within approximately one year) Start Date: ASAP Duration: Permanent Compensation ...

Tror AI for everyone

Databricks Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

Engineering & Implementation * Build robust ETL/ELT pipelines with Databricks notebooks, jobs, and workflows. * Design and implement high-performance streaming solutions using Structured Streaming.

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Long Beach, CA

Databricks Engineer information

See Long Beach, CA salary details

$62.6K

$117.4K

$213.4K

How much do databricks engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for databricks engineer in Long Beach, CA is $117,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $139,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Long Beach, CA? For Databricks Engineer jobs in Long Beach, CA, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Long Beach, CA look for? The top searched job categories for Databricks Engineer jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Databricks Engineer jobs? Cities near Long Beach, CA with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Long Beach, CA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $117,378 per year, or $56.4 per hour.

AWS Databricks Engineering Lead

Judge Group, Inc.

Tustin, CA • On-site

$130K - $140K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Location: Tustin, CA Salary: $130,000.00 USD Annually - $140,000.00 USD Annually Description:
AWS Databricks Engineering Lead
Irvine, CA
Fulltime
Must Have Technical/Functional Skills
Data Bricks , EBT ,Airflow , Asset Management exp
Roles & Responsibilities
We are seeking a highly skilled EDO Platform Engineering Lead to architect, build, and manage enterprise-scale cloud-native data platforms supporting Asset Management business functions. The role will lead platform engineering,
infrastructure automation, DevOps enablement, platform reliability, security, and operational excellence across the Enterprise Data Office (EDO).
The ideal candidate will have deep expertise in Databricks, dbt, AWS Cloud, Terraform, Python, DevOps, Platform Engineering, and Data Operations, with strong experience supporting investment management organizations.
This role is responsible for establishing and managing a scalable, secure, and highly available data platform that supports analytics, reporting, regulatory compliance, portfolio management, risk management, and investment operations.
Key Responsibilities
Lead the design, implementation, and management of enterprise data platforms.
Define platform engineering strategy aligned with EDO and enterprise architecture standards.
Establish reusable platform frameworks, accelerators, and engineering best practices.
Drive cloud-native modernization initiatives across data and analytics ecosystems.
Own platform lifecycle management, scalability, availability, and reliability.
________________________________________
Lead enterprise-wide Databricks platform architecture and administration.
Design and implement Lakehouse architecture leveraging Delta Lake.
Manage: Databricks Workflows ,Delta Live Tables (DLT) ,Unity Catalog ,
MLflow ,Structured Streaming ,Cluster Policies ,Security and Access Controls
Optimize platform performance and cost efficiency.
Build governance controls across development, test, and production environments
Lead cloud engineering activities using AWS services:S3 ,ECS,EKS,Lamda .Glue ,Cloudwatch
Infrastructure as a Code (IaC)
Build reusable Terraform modules.
Automate environment provisioning.
Implement infrastructure standardization and governance.
Maintain infrastructure version control.
Ensure compliance through Infrastructure-as-Code practices.
Design and implement CI/CD pipelines.
Automate deployment and release management processes.
Enable Infrastructure-as-Code and GitOps methodologies.
Improve deployment velocity and reliability.
Support engineering teams with self-service platform capabilities.
GitHub Actions ,GitLab CI/CD ,Jenkins ,Azure DevOps ,Terraform ,Docker ,Kubernetes
Support API integrations and operational workflows.
Establish Site Reliability Engineering (SRE) practices.
Define platform SLAs, SLOs, and operational metrics.
Lead platform monitoring, observability, and incident management.
Drive root cause analysis and preventive actions
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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