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Remote Databricks Developer Jobs in California (NOW HIRING)

... REMOTE Requirements: Specific skill mixes we need from the tech stack: * Databricks AND (R or ... Collibra - as a Collibra developer or support engineer * Alteryx - as a developer or support ...

... REMOTE Requirements: Specific skill mixes we need from the tech stack: * Databricks AND (R or ... Collibra - as a Collibra developer or support engineer * Alteryx - as a developer or support ...

... REMOTE Requirements: Specific skill mixes we need from the tech stack: * Databricks AND (R or ... Collibra - as a Collibra developer or support engineer * Alteryx - as a developer or support ...

Senior Data Engineers - Remote

San Diego, CA · On-site +1

$112K - $152K/yr

Senior Data Engineers - Remote Location : San Diego, CA Duration : 06 Months Total Hours/week : 40 ... Snowflake/ Databricks / Synapse / MS SQL Server * ETL / Orchestration Tools (Step Function, DBT etc.

Data Engineer

San Jose, CA · Remote

$134K - $161K/yr

Cincinnati, USA Onsite/Remote: 100% Remote Key Responsibilities • Provide Technical Leadership ... Kafka, Databricks, and similar toolsets. • Drive Digital Innovation: Leverage innovative ...

Remote (PST hours; hybrid preferred) Start Date Is: ASAP Duration: 1 year (contract, with option to ... Partner with engineering and QA to implement and validate tracking (eVars, props, events) * Write ...

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... Databricks (Azure). Work closely with commercial, supply chain, and engineering teams to build ML ...

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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:
What are popular job titles related to Remote Databricks Developer jobs in California? For Remote Databricks Developer jobs in California, the most frequently searched job titles are:
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:
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.

Cloud Data Engineer - AI & Analytics Transformation - AIRLHV

NavitasPartners

Los Angeles, CA • On-site, Remote

$40/hr

Full-time

Posted 8 days ago


Job description

Cloud Data Engineer – AI & Analytics Transformation

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

Join a high-impact team delivering enterprise data and AI transformation initiatives. This role emphasizes building next-generation data ecosystems and enabling intelligent decision-making through advanced analytics.

Key Responsibilities:

  • Design and implement modern data architectures using cloud platforms
  • Build and optimize ETL/ELT pipelines for large-scale datasets
  • Work closely with cross-functional teams to deliver business insights

Required Skills:

  • Expertise in data engineering tools such as Snowflake, Databricks, or BigQuery
  • Strong cloud experience (AWS, Azure, GCP)
  • Experience in distributed data processing and pipeline orchestration

Nice to Have:

  • Exposure to ML engineering and MLOps practices
  • Experience with GenAI or Agentic AI solutions
  • Understanding of enterprise AI governance frameworks

For more details reach at resumes@navitassols.com.