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Intern Databricks Developer Jobs in San Jose, CA

... Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to ...

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Intern Databricks Developer information

See San Jose, CA salary details

$13

$26

$46

How much do intern databricks developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for intern databricks developer in San Jose, CA is $26.83, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $28.46 per hour, depending on experience, location, and employer.

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

AspectIntern Databricks DeveloperIntern Data Engineer
Primary FocusDeveloping and optimizing data processing using Databricks platformBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of Spark, Databricks, SQL, Python; basic cloud certificationsKnowledge of ETL, SQL, cloud platforms, scripting; similar certifications
Work EnvironmentCollaborates with data science and analytics teams on Databricks platformWorks with data engineering teams on data pipelines and storage

While both roles involve working with data and cloud platforms, the Intern Databricks Developer primarily focuses on developing data solutions within the Databricks environment, whereas the Intern Data Engineer concentrates on building and maintaining data infrastructure and pipelines across various platforms. Both roles require similar technical skills and certifications, but their day-to-day tasks and focus areas differ.

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

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The top searched job categories for Intern Databricks Developer jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Intern Databricks Developer jobs?

Cities near San Jose, CA with the most Intern Databricks Developer job openings:

Forward Deployed Engineer (FDE) - Intern - 2026-2027

Netic

San Francisco, CA • On-site

$250/hr

Other

Re-posted 24 days ago


Job description

Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.

You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

Our Forward Deployed Engineers are at the heart of building AI that transforms how essential service businesses operate. This role combines cutting‑edge AI development with real‑world impact, creating systems that handle complex business operations autonomously.

We need to hire multiple FDEs to join our team for a 12‑week internship that are available to start between winter of 2026 and summer of 2027. If you can start earlier - even better.

What You’ll Do
  • Architect agents: Build and ship multi‑modal AI agents that drive business impact for essential service companies.
  • Co‑build with customers: Work directly with enterprise stakeholders to map workflows and deploy our product to unlock immediate revenue lift.
  • Own end‑to‑end lifecycle: Manage everything from design, to implementation, to rollout, including deployment, measuring success, and iterating with customers.
  • Ensure scalability: Build reliable systems that support thousands of concurrent interactions with strong performance.
  • Run rapid experiments: Evaluate cutting‑edge text/voice models, fine‑tune, live A/B test, and iterate within tight feedback loops.
  • Elevate the platform: Surface patterns and opportunities across customers to inform product and engineering roadmaps.
What You’ll Bring
  • Production systems: Experience building and maintaining production systems using Python (asyncio, FastAPI) and TypeScript (Node, React).
  • AI systems: Hands‑on experience with LLM, TTS and speech APIs, fine‑tuning models, vector databases, RAG, and evaluation frameworks.
  • Performance focus: Ability to meet SLAs, resolve issues, and optimize systems for speed and reliability at scale.
  • Scale mindset: Experience building production monitoring and debugging systems across cloud infrastructure and databases.
  • Customer obsession: Comfortable engaging directly with customers to troubleshoot issues, understand edge cases, and deliver fast solutions.

What brings us together is our commitment:

  • Live to build
  • Run through walls and win
  • Obsess over customers in each line of code
  • Lose sleep over the "almost perfect"
  • Show internal locus of control
  • Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

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