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Databricks Internship Jobs (NOW HIRING)

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects • Understanding of basic data modeling and ETL/ELT concepts • Ability to work ...

Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale. * Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake ...

Hands-on experience with Databricks on AWS (academic, internship, or project-based). * Familiarity with Python for data processing or ML workflows. * Experience using Git or another version control ...

... Platform, and Databricks as our data infrastructure evolves. Working closely with digital and ... Internships at Reingold are full-time (40 hours) during the standard workweek and pay an hourly ...

Expect an internship that resembles a job you would have after graduating. Responsibilities * Build ... Experience with Python and FastAPI, building ETL or data pipelines on Databricks, or working with ...

Actively develop technical skills in Databricks, Py-Spark, SQL, and Python. Understand how data ... Experience: Internship, academic, or project-based experience in data engineering, analytics ...

Expect an internship that resembles a job you would have after graduating. Responsibilities * Build ... Experience with Python and FastAPI, building ETL or data pipelines on Databricks, or working with ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Actively develop technical skills in Databricks, Py-Spark, SQL, and Python. Understand how data ... Experience: Internship, academic, or project-based experience in data engineering, analytics ...

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Databricks Internship information

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How much do databricks internship jobs pay per hour?

As of Jun 9, 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 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.

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.
More about Databricks Internship jobs
What cities are hiring for Databricks Internship jobs? Cities with the most Databricks Internship job openings:
What are the most commonly searched types of Databricks jobs? The most popular types of Databricks jobs are:
What states have the most Databricks Internship jobs? States with the most job openings for Databricks Internship jobs include:
Infographic showing various Databricks Internship job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Senior Software Engineer - Item Modernization

Senior Software Engineer - Item Modernization

Publix Super Markets, Inc.

Lakeland, FL • On-site

$114K - $150K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,550 frontline employees who took The Breakroom Quiz

21st of 114 rated grocery stores


Job description

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states.
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level-internships through technical leadership.
Join a company consistently ranked among Fortune's "100 Best Companies to Work For" and help us build more than great subs-build the future of technology at Publix.
Join the Publix Shelf Tag team as a Senior Software Engineer. This team is responsible for developing and supporting Publix's Item Management System applications. As part of this team, you will participate in all phases of development lifecycle and contribute to delivering high quality applications for our business areas.
Location: Flexible Hybrid (8 days per month in Lakeland, FL)
Work Model: Enjoy the best of both worlds-collaborate in person and innovate remotely.
Why Join Us?
  • Hybrid Flexibility: Work remotely when you need focus time and join us onsite for high-impact collaboration and brainstorming sessions.
  • Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.
  • Empowered Culture: We value autonomy, creativity, and continuous learning-your ideas shape the future of technology in our organization.
  • Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.  
 
Your impact:
  • Lead design and development of data-oriented solutions involving On-Prem and cloud (Microsoft Azure) technologies as a Python/Databricks Engineer on the Publix's Item Management System team
  • Provide hands-on development for complex Python/Databricks solutions
  • Lead development, deployment, maintenance, and optimization of data pipelines and workflows using Databricks
  • Collaborate closely with data engineers, data scientists, and other stakeholders to understand requirements, design solutions, and implement them using Databricks' platform
  • Optimize and tune Databricks jobs for performance and scalability
  • Convert requirements to technical design, develop high-quality solutions, and implement while collaborating with other technical and business teams
  • Lead technical team through problem determination and resolution on highly complex problems
  • Work in a cross-functional team environment utilizing an agile approach
  • Maintain strong analytical, planning, problem solving, writing, and presentation skills
  • Facilitate technical knowledge transfers and perform peer code reviews
  • Mentor and guide junior developers, fostering a culture of continuous learning.
  • Lead technical discussions and influence architectural decisions across teams.
  • Communicate effectively with stakeholders to align technical solutions with business goals.
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