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Databricks Internship Jobs (NOW HIRING)

Conagra

Analytics Internship - Summer 2027

Bennington, NE · On-site

$20 - $28/hr

The analytics internship will focus on utilizing our modern cloud platforms, including Palantir, Databricks and Power BI to develop products and solutions to help enrich business processes with ...

CONAGRA

Analytics Internship - Summer 2027

Omaha, NE · On-site

$20 - $28/hr

The analytics internship will focus on utilizing our modern cloud platforms, including Palantir, Databricks and Power BI to develop products and solutions to help enrich business processes with ...

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Databricks Internship information

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How much do databricks internship jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for databricks internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

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 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 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 to get a job at Databricks?

To get a Databricks internship, candidates should have a strong background in data engineering, software development, or related fields, along with proficiency in tools like Apache Spark and cloud platforms. Applying through the company's careers page, preparing for technical interviews, and demonstrating relevant skills and projects can improve chances of selection.
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Databricks Internship jobs near you
Infographic showing various Databricks Internship job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Data Engineering Winter/Spring Co-Op (Jan-June '27)

Skyworks

Irvine, CA • On-site

$122K - $147K/yr

Full-time

Posted 7 days ago

Job description

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 78259 

Description

We are looking for a motivated Student Engineer to join our Enterprise Systems and Data Engineering team. You will work with experienced engineers to build, enhance, test, and support modern data solutions using Databricks and Microsoft Azure. The internship offers practical exposure to enterprise-scale data pipelines, data quality, cloud storage, governance, and production engineering practices.

This Co-op internship period is from January to June 2027.

Responsibilities

What you will work on - 

  • Develop and maintain data ingestion and transformation pipelines using Python, SQL, PySpark, and Databricks notebooks.
  • Use Databricks Workflows and jobs to orchestrate, schedule, monitor, and troubleshoot data processing activities.
  • Build and test ETL/ELT solutions for structured and semi-structured data from enterprise systems, databases, files, and APIs.
  • Work with Delta Lake and lakehouse concepts, including Bronze, Silver, and Gold data layers.
  • Apply data profiling, validation, reconciliation, and quality checks to improve data reliability.
  • Assist with onboarding new datasets into Azure Data Lake Storage and Databricks.
  • Support pipeline monitoring, root-cause analysis, defect resolution, and documentation.
  • Use Git and CI/CD practices for version control, peer review, testing, and controlled deployments.
  • Collaborate with data engineers, analysts, platform teams, and business stakeholders to understand requirements and deliver usable data products.

Databricks Learning Focus

  • Hands-on exposure may include: Databricks workspace and notebooks, Apache Spark and PySpark, Delta Lake, Databricks Workflows, SQL Warehouses, Unity Catalog fundamentals, data quality controls, performance basics, and lakehouse architecture.

What You Will Learn

  • Databricks & Spark - Develop notebooks and scalable transformations with SQL, Python, and PySpark.
  • Pipeline Engineering - Understand ingestion, orchestration, testing, monitoring, and operational support.
  • Cloud Data Platforms - Work with Azure-based storage, integration, and data processing patterns.
  • Data Quality & Governance - Apply validation, documentation, access control, lineage, and reliability practices.
  • Engineering Delivery - Gain experience with Git, code reviews, CI/CD, Agile delivery, and stakeholder collaboration.
Required Qualifications
  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Electronics Engineering, or a related technical discipline.
  • Ability to work on-site for 6 month period (January to June)
  • Basic programming proficiency in Python and the ability to write clear, testable code.
  • Working knowledge of SQL, relational databases, joins, aggregations, and data manipulation.
  • Understanding of data structures, algorithms, and software engineering fundamentals.
  • Strong analytical and problem-solving skills with attention to detail.
  • Clear written and verbal communication skills, with the ability to collaborate in a team environment.
  • Curiosity, accountability, and willingness to learn new technologies.
Preferred Qualifications
  • Academic, internship, or personal project experience with Databricks, Apache Spark, or PySpark.
  • Exposure to Microsoft Azure, Azure Data Factory, Azure Data Lake Storage, or Azure SQL.
  • Understanding of ETL/ELT, data warehousing, lakehouse, or medallion architecture concepts.
  • Familiarity with Git, Azure DevOps, CI/CD, Linux, REST APIs, or Power BI.
  • Awareness of data governance, security, access control, or data quality principles.
  • Databricks or Microsoft Azure learning credentials are an advantage but not required.

Ideal Candidate Profile

  • Takes ownership of assigned work and communicates progress or blockers early.
  • Approaches problems methodically and validates results before considering work complete.
  • Can learn independently while seeking guidance at the right time.
  • Values clean code, documentation, data security, and reliable delivery.
  • Is interested in building a long-term career in data engineering and cloud data platforms.

The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.

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About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

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