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Intern Databricks Developer Jobs in Wylie, TX (NOW HIRING)

... Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role ... Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ...

... Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role ... Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ...

Intern Databricks Developer information

See Wylie, TX salary details

$11

$21

$37

How much do intern databricks developer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for intern databricks developer in Wylie, TX is $21.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $23.32 per hour, depending on experience, location, and employer.

How much do Databricks interns get paid?

Databricks interns, including those in developer roles, typically receive hourly wages or stipends that can range from $20 to $40 per hour, depending on location, experience, and the specific internship program. Compensation often includes opportunities to work with cloud-based tools and data platforms, and may vary by year and program structure.

Does Databricks hire interns?

Yes, Databricks offers internship programs, including roles for aspiring Databricks Developers. Internships typically focus on data engineering, software development, and cloud technologies, providing hands-on experience with tools like Apache Spark and Databricks platform. These programs are usually available to students or recent graduates and may require relevant technical skills and coursework.

Is Databricks a high paying job?

Intern Databricks Developer roles are typically entry-level positions with lower salaries compared to full-time data engineering or data science roles. However, salaries for Databricks-related positions can increase significantly with experience, skills in Spark, cloud platforms, and certifications. Overall, full-time roles involving Databricks tend to offer competitive compensation within the data technology industry.

Is Databricks hiring entry level positions?

Databricks offers entry-level positions such as Intern Databricks Developer roles for candidates with relevant skills in Spark, cloud platforms, and programming. These roles typically require some technical knowledge and may be suitable for recent graduates or those starting their careers in data engineering or software development.

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

AspectIntern Databricks DeveloperIntern Data Engineer
Primary FocusDeveloping and optimizing data processing using Databricks platformBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of Spark, Databricks, SQL, Python; basic cloud certificationsKnowledge of ETL, SQL, cloud platforms, scripting; similar certifications
Work EnvironmentCollaborates with data science and analytics teams on Databricks platformWorks with data engineering teams on data pipelines and storage

While both roles involve working with data and cloud platforms, the Intern Databricks Developer primarily focuses on developing data solutions within the Databricks environment, whereas the Intern Data Engineer concentrates on building and maintaining data infrastructure and pipelines across various platforms. Both roles require similar technical skills and certifications, but their day-to-day tasks and focus areas differ.

What cities near Wylie, TX are hiring for Intern Databricks Developer jobs? Cities near Wylie, TX with the most Intern Databricks Developer job openings:
Data Analytics Intern

Data Analytics Intern

Trinity Industries

Dallas, TX • On-site

Internship

Posted 26 days ago


Trinity Industries rating

6.5

Company rating: 6.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

403rd of 486 rated machine equipment manufacturers


Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.
This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.
What You'll Do:
  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.

What You'll Have:
  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.

Preferred / Nice-to-Have
  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

What Trinity Industries employees say

Pay

Benefits

Hours and flexibility

Workplace

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