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Databricks Internship Jobs in Florida (NOW HIRING)

Navy Federal Credit Union

Data Engineer

Pensacola, FL · On-site

$108K - $130K/yr

Strong experience with SQL, xml/JSON, SSIS, Azure (Synapse, Data Factory, Databricks) and PySpark ... FORTUNE 100 Best Companies to Work For 2026 Yello and WayUp Top 100 Internship Programs 2025 ...

Navy Federal Credit Union

Data Engineer

Pensacola, FL · On-site

$108K - $130K/yr

Strong experience with SQL, xml/JSON, SSIS, Azure (Synapse, Data Factory, Databricks) and PySpark ... Yello and WayUp Top 100 Internship Programs 2025 * Computerworld Best Places to Work in IT 2026

All JobsDatabricks JobsDatabricks Internship JobsDatabricks Internship Jobs in Florida

Databricks Internship information

What is the highest paying summer internship?

The highest paying summer internships are typically in finance, technology, and consulting industries, with some offering compensation exceeding $10,000 for the season. For roles like a Databricks internship, pay varies based on location, experience, and skill level, but competitive internships often include stipends or hourly wages aligned with industry standards.

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, experience, and the specific internship program. Intern salaries for tech companies generally range from $20 to $40 per hour, with some programs offering additional benefits or stipends for housing and transportation.

Is Databricks a high paying job?

A Databricks internship typically offers competitive compensation compared to other tech internships, with pay varying based on location, experience, and skills. Interns working with cloud platforms, data engineering, or machine learning tools may also receive additional benefits or stipends. Overall, it is considered a well-paying internship opportunity within the tech industry.

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.
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Databricks Internship jobs near you
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 today. Applications are no longer accepted.

Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,605 frontline employees who took The Breakroom Quiz

24th of 119 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.
In this role, you will be at the forefront of modernizing how one of the largest employee-owned retailers in the U.S. manages and delivers critical item and pricing data across many store locations. Our solutions directly impact store operations at scale and play a key role in the in-store customer experience.
This is a rare opportunity to help build a next-generation platform from the ground up. As we move away from legacy systems, you will play a key role in shaping new architecture, defining engineering patterns, and establishing best practices that will serve as the foundation for years to come. You will not just maintain systems, you will be creating them, with the ability to influence design decisions, technology choices, and long-term direction.
As part of this team, you will design, build, and evolve enterprise platforms that handle high-volume data, complex business rules, and real-time integration across multiple systems. You will contribute across the full development lifecycle, from architecture and design through delivery and optimization, helping deliver reliable, high-quality solutions that drive real business outcomes.
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 the design and delivery of modern, data-intensive platforms across on-prem and Microsoft Azure environments, powering Publix's next-generation Shelf Tag platform
  • Own critical components end-to-end, from architecture and design through implementation, deployment, and long-term evolution, with direct impact on store operations across more than 1,400 locations
  • Drive the development and optimization of data pipelines and workflows, ensuring they meet high standards for performance, resiliency, and scalability
  • Design and develop distributed systems and services using .NET and C#, working with SQL-based data platforms and event streaming technologies such as Kafka to enable scalable, real-time integrations
  • Play a key role in a large-scale modernization effort, helping redefine how legacy systems are transformed into modern, event-driven, cloud-based architectures
  • Partner directly with engineering, product, and business leaders to solve complex, real-world problems and deliver solutions that have measurable impact
  • Influence architectural direction and engineering standards across teams, helping establish patterns and practices that will shape the platform long term
  • Lead the team through complex technical challenges, driving root cause analysis and delivering durable, high-quality solutions
  • Build and scale high-performance data solutions using Python and Databricks, enabling reliable processing of large volumes of operational and pricing data

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