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Databricks Internship Jobs in California (NOW HIRING)

... internships, research, or significant academic projects (e.g., ROS, autonomous vehicles, embedded ... Databricks or large-scale data processing • Exposure to infrastructure-as-code (Terraform ...

... fund), Databricks Ventures, Snowpoint Ventures, and Kleiner Perkins. About the Role: Shape the ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

... Databricks Ventures, Snowpoint Ventures and Kleiner Perkins. About the Role Shape the future of AI ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

... Databricks Ventures, Snowpoint Ventures, and Kleiner Perkins. Shape the future of AI in German ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

Speakers/Writers

Moreno Valley, CA · On-site

$15 - $60/hr

... fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins. About the Role: Shape the ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

Research Data Engineer

Carlsbad, CA · On-site

$110K - $130K/yr

Familiarity with Databricks, Spark, or workflow orchestration tools. * Strong analytics and data ... Internship or project experiences can be considered for years of experience Equal Employment ...

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Databricks Internship information

Does Databricks hire interns?

Yes, Databricks offers internship programs for students and recent graduates interested in data engineering, software development, and related fields. Internships typically involve working on real projects using tools like Apache Spark and require a strong technical background and relevant coursework. These programs are usually available during summer and sometimes throughout the year, providing valuable industry experience.

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

To thrive as a Databricks Intern, you typically need a solid foundation in computer science, data engineering, or a related field, along with strong programming skills in languages like Python, SQL, or Scala. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Apache Spark), and data analytics tools is commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help interns excel in dynamic, team-oriented environments. Mastering these skills enables effective contribution to real-world data projects, supporting innovation and business impact at Databricks.

How much do Databricks interns get paid?

Databricks interns typically receive a stipend or hourly pay that varies depending on location and level of experience, with many internships offering competitive compensation aligned with industry standards. Interns often work on real projects using tools like Apache Spark and Databricks platform, gaining valuable skills during the program.

What types of projects do Databricks interns typically work on, and how are they integrated into existing teams?

Databricks interns are usually assigned to real-world projects that align with the company's current priorities, such as developing new data analytics features, optimizing cloud infrastructure, or contributing to open-source initiatives like Apache Spark. Interns are integrated into agile engineering or data science teams, where they participate in daily stand-ups, code reviews, and collaborative problem-solving sessions. This structure ensures that interns gain hands-on experience, receive mentorship from experienced professionals, and have opportunities to present their work, making the internship both impactful and a strong learning experience.

What is a Databricks internship?

A Databricks internship is a temporary position offered to students or recent graduates to gain hands-on experience working with Databricks, a company specializing in data analytics and artificial intelligence. Interns typically work on real-world projects involving big data, cloud computing, and collaborative analytics using the Databricks Unified Analytics Platform. The internship provides opportunities to learn from industry experts, develop technical skills, and contribute to innovative solutions. Interns also gain exposure to Databricks' company culture and may have the opportunity to transition to a full-time role after completion.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide opportunities in audit, consulting, advisory, and tax services, often targeting students pursuing degrees in accounting, finance, or related fields, and may lead to full-time roles within these firms.
What are the most commonly searched types of Databricks jobs in California? The most popular types of Databricks jobs in California are:
What cities in California are hiring for Databricks Internship jobs? Cities in California with the most Databricks Internship job openings:
Infographic showing various Databricks Internship job openings in California as of June 2026, with employment types broken down into 25% Internship, 69% Full Time, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Manager - Data & Analytics

Qvest US

Los Angeles, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Who We Are

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.


Who We're Seeking
Qvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.
What You'll Do
  • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
  • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
  • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
  • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
  • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
  • Proactively identify risks, issues and provide mitigation strategies
  • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
What You'll Bring
  • Eagerness to help build and lead a best-in-class data practice
  • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
  • Experience with project planning, including tasks, budgeting, resource allocation and balancing
  • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
  • Experience designing and building relational database and/or data warehouses
  • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc 
Preferred Additional Experience
  • A solid understanding of key BI trends and the BI vendor landscape
  • Experience in Media & Entertainment and/or Consumer Products industries
  • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
  • Cloud computing experience, whether with AWS or other vendors
  • Ability to understand/design small-to-medium size data architectures
  • Ability to automate data-related tasks using scripts and programming languages
  • Ability to profile, explore, and analyze data to identify common data patterns
  • Bachelor's degree in engineering, information systems, computer science, business administration, or other related analytical fields
  • Familiarity with dbt (https://getdbt.com)
Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee's primary office location, state, or region. 
 
Remote & Hybrid Work
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
 
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths. Qvest US is currently 300+ people strong and we've been recognized as a "Best Place to Work," a "Great Place to Work," "Fastest Growing," and "A Jewel."
 
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.
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