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Remote Databricks Developer Jobs in California (NOW HIRING)

Databricks

Principal Data Scientist

Mountain View, CA · On-site +1

... are open to remote candidates in other locations. Databricks is looking for a Principal Data ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

Mercor

DevOps Engineer

San Francisco, CA · Remote

$55 - $75/hr

Remote Role Responsibilities * Build a realistic digital workspace centered on the Drive folders ... data platform ( Snowflake, Databricks ), or a Fortune 500 platform/infrastructure team

West Advanced Technologies

Azure Data Engineer

Downey, CA · Remote

$118K - $142K/yr

Remote Duration: 12 Months Skills Required Possess knowledge and technical expertise in standards ... Q 5 years of experience in Azure Data Factory 5 years of experience in Databricks 5 years of ...

E-Solutions

Sr. Data Engineer

La Jolla, CA · Remote

$121K - $145K/yr

Remote Duration: Long Term Requirement: * Candidate must have: Proficiency in Python, SQL, GCP ... Experience with Databricks, ML pipelines, API integrations (e.g., Meta), ETL tools like Informatica ...

Biointellisense

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

We're a remote-first, lean start-up environment and our global BioTeam colleagues are growth ... Support Databricks asset bundle (DABs) deployments and contribute to data platform reliability

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Biointellisense

DevOps Engineer

Redwood City, CA · On-site +1

$140K - $170K/yr

We're a remote-first, lean start-up environment and our global BioTeam colleagues are growth ... Support Databricks asset bundle (DABs) deployments and contribute to data platform reliability

Biointellisense

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

We're a remote-first, lean start-up environment and our global BioTeam colleagues are growth ... Support Databricks asset bundle (DABs) deployments and contribute to data platform reliability

Biointellisense

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

We're a remote-first, lean start-up environment and our global BioTeam colleagues are growth ... Support Databricks asset bundle (DABs) deployments and contribute to data platform reliability

Artech

Data Engineer (API & Database Focus)

Sunnyvale, CA · Remote

$136K - $163K/yr

The successful candidate will work hands-on with Databricks, Snowflake, and/or relational databases ... Fully remote work environment. * Opportunity to work with cutting-edge technologies and tools.

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Remote Databricks Developer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Developer, and why are they important?

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a Remote Databricks Developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

What are the most commonly searched types of Databricks Developer jobs in California? The most popular types of Databricks Developer jobs in California are:
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What job categories do people searching Remote Databricks Developer jobs in California look for? The top searched job categories for Remote Databricks Developer jobs in California are:
What cities in California are hiring for Remote Databricks Developer jobs? Cities in California with the most Remote Databricks Developer job openings:
Remote Databricks Developer jobs near you
Infographic showing various Remote Databricks Developer job openings in California as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior Data Engineer - Data Foundations (Databricks, AWS)

aKube, Inc.

Los Angeles, CA • On-site, Remote

$96/hr

Other

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

Job description

Job Description
Location: Los Angeles, CA
Onsite/ Hybrid/ Remote: Remote
Duration: 12 Months
Rate Range: Max is $96/hr on C2C or $89/hr on W2
Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT
Must Have:
  • Databricks
  • Snowflake
  • Redshift
  • AWS (S3, Glue, Lambda)
  • Advanced SQL (performance tuning)
  • Python
  • Airflow or DBT
Responsibilities:
  • Design and build scalable data pipelines for large datasets
  • Develop batch and real-time data processing solutions
  • Work with Databricks, Snowflake, and Redshift for data platforms
  • Optimize SQL queries and improve data performance
  • Build and maintain workflows using Airflow or DBT
  • Ensure data quality, reliability, and governance
  • Partner with data scientists to deploy ML models
  • Collaborate with teams to translate business needs into data solutions
Qualifications:
  • 7+ years of data engineering experience
  • Strong experience with AWS data services
  • Hands-on coding in Python and SQL
  • Experience with distributed data systems and big data tools
  • Experience building enterprise-scale data platforms
Nice to Have:
  • Monte Carlo (data observability)
  • Atlan (data catalog)
  • CI/CD (GitHub Actions or Jenkins)
  • Experience with ML or statistical modeling

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