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Remote Databricks Developer Jobs in San Francisco, CA

Data Piper

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

Remote 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting ... Engineering Professional certification & required classes Hands-on experience in development on ...

Data Piper

Databricks Architect

Pleasanton, CA · On-site +1

$72 - $94.50/hr

Remote • 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting ... Data Engineering Professional certification & required classes • Hands-on experience in ...

Databricks

Solutions Architect

San Francisco, CA · On-site +1

$74.25 - $97.75/hr

While candidates in the listed locations are encouraged for this role, we are open to remote ... Production programming experience in Python, R, Scala or Java * Nice to have: Databricks ...

New

Biointellisense

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

Support Databricks asset bundle (DABs) deployments and contribute to data platform reliability ... Northern California (local) / Remote All candidate must be located in the United States to be ...

Biointellisense

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

Support Databricks asset bundle (DABs) deployments and contribute to data platform reliability ... Northern California (local) / Remote All candidate must be located in the United States to be ...

Robert Half

Staff Data Platform Engineer

San Francisco, CA · Remote

$200K - $250K/yr

100% Remote!! We are looking for an experienced Staff Data Platform Engineer to lead the design and ... Experience with platforms such as Databricks, Snowflake, Microsoft Fabric * Ability to make sound ...

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All JobsDatabricks Developer JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in San Francisco, CA

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.

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.

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 are the most commonly searched types of Databricks Developer jobs in San Francisco, CA?

The most popular types of Databricks Developer jobs in San Francisco, CA are:

What are popular job titles related to Remote Databricks Developer jobs in San Francisco, CA?

For Remote Databricks Developer jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Developer jobs in San Francisco, CA look for?

The top searched job categories for Remote Databricks Developer jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Databricks Developer jobs?

Cities near San Francisco, CA with the most Remote Databricks Developer job openings:

Remote Databricks Developer jobs near you

Sr. Manager, Field Engineering - High Tech and MFG

Databricks

San Francisco, CA • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

Req ID - FEQ327R499

Location: San Francisco Bay Area, CA

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Western United States.

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.  Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale.  Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers' Data + AI experiences forward.

As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing and HiTech Enterprise Segment of Databricks' Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The impact you will have:

  • You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode.
  • Make your customers extremely successful with Databricks and provide outsized value to their businesses.
  • You will maintain a robust hiring pipeline at all times.
  • Establish relationships across the business to make your customers and team successful.
  • Partner with sales leadership to hit sales and consumption targets while ensuring customer success
  • Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs

What we look for:

  • 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals
  • 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI).
  • A deep technical understanding of the impact that Data + AI can drive within various industry segments
  • Technical competence to earn the trust of Engineering talent and leadership at Databricks.
  • Trusted advisor to technical executives who guide strategic data infrastructure decisions.
  • Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
  • Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans. 
  • Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners.
  • Experience working with other teams such as Product Management, Engineering, and Customer Success.
  • Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale.

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