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Intern Databricks Data Engineer Jobs in Cupertino, CA

Databricks Engineer

Milpitas, CA · On-site

$120 - $180/hr

Integrate data from various sources including relational databases, APIs, cloud storage, and streaming platforms. * Optimize Spark jobs for performance, scalability, and cost efficiency.

Databricks Engineer Experience 4-8 years Location As per business requirement Employment Type ... Integrate data from various sources including relational databases, APIs, cloud storage, and ...

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks, including building and optimizing large-scale data pipelines. Strong understanding of data architecture fundamentals such ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Job Role: Data Engineer Location: Mountain View, CA (Hybrid 3days onsite, 2 days remote ... Leverage advanced tools like Databricks for big data processing, ensuring the data is accessible ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming) * Define technical approach for data engineering ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming) * Define technical approach for data engineering ...

Snowflake Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks , including building and optimizing large-scale data pipelines. * Strong understanding of data architecture fundamentals ...

They are seeking a highly skilled Senior Data Engineer / Data Architect with extensive experience in Azure and Databricks to build large-scale data platforms and deliver high-quality data products in ...

As a leading product engineering firm based in Silicon Valley, we provide full-cycle product ... CI/CD for Databricks workloads Big Data & Processing Frameworks * Apache Spark with advanced ...

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Senior Data Engineer Location: San Jose, California, United States Experience: 8 10 Years Job ... Strong hands-on experience with Databricks , AWS , PySpark , Python , SQL , and Apache Airflow

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Intern Databricks Data Engineer information

See Cupertino, CA salary details

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How much do intern databricks data engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for intern databricks data engineer in Cupertino, CA is $31.36, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $35.58 per hour, depending on experience, location, and employer.

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

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

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Cities near Cupertino, CA with the most Intern Databricks Data Engineer job openings:

Databricks Engineer

Doist

Milpitas, CA • On-site

$120 - $180/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role

Databricks Engineer

Experience

4–8 years

Location

As per business requirement

Employment Type

Full-time

Job Summary

We are looking for a skilled Databricks Engineer with strong expertise in designing, developing, and optimizing modern data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have experience building scalable ETL/ELT pipelines, working with large-scale data, and leveraging Apache Spark to deliver high-performance data solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build ETL/ELT workflows for batch and streaming data processing.
  • Develop solutions using PySpark, Spark SQL, and Delta Lake.
  • Implement Medallion Architecture (Bronze, Silver, Gold) for data transformation.
  • Integrate data from various sources including relational databases, APIs, cloud storage, and streaming platforms.
  • Optimize Spark jobs for performance, scalability, and cost efficiency.
  • Collaborate with Data Architects, Data Scientists, BI developers, and business stakeholders.
  • Implement CI/CD pipelines and deployment automation for Databricks workloads.
  • Ensure data quality, security, governance, and compliance.
  • Monitor, troubleshoot, and optimize production data pipelines.
  • Document technical solutions and follow engineering best practices.
Required Skills
  • Core Technologies Databricks Lakehouse Platform Apache Spark PySpark Spark SQL Delta Lake
  • Python
  • SQL
  • Cloud Platforms (one or more) Microsoft Azure (preferred) AWS Google Cloud Platform
  • Azure Technologies (Preferred) Azure Data Factory (ADF) Azure Data Lake Storage (ADLS Gen2) Azure Synapse Analytics Azure Key Vault Azure DevOps
  • Data Engineering
  • Data Warehousing
  • Data Modeling
  • ETL/ELT Development
  • Batch Processing
  • Streaming (Kafka/Event Hubs)
  • Data Lake Architecture
  • DevOps & Version Control
  • Git
  • Azure DevOps / GitHub CI/CD Pipelines
Preferred Qualifications
  • Experience with Unity Catalog.
  • Knowledge of Databricks Workflows and Jobs.
  • Hands-on experience with Delta Live Tables (DLT).
  • Exposure to MLflow is an added advantage.
  • Experience with data governance and security best practices.
  • Familiarity with Infrastructure as Code (Terraform) is a plus.
Educational Qualification

Bachelor\'s or Master\'s degree in Computer Science, Information Technology, Engineering, or a related field.

Preferred Certifications
  • Databricks Certified Data Engineer Associate
  • Databricks Certified Data Engineer Professional
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Azure Fundamentals (AZ-900)
Nice to Have
  • Experience with real-time analytics.
  • Knowledge of Lakehouse architecture.
  • Experience with Agile/Scrum methodologies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
Mandatory Skills
  • Databricks
  • PySpark
  • Spark SQL
  • Delta Lake
  • Python
  • SQL
  • Azure/AWS/GCP (at least one cloud platform)
  • ETL/ELT Development
  • Data Lake Architecture
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