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Summer Intern 2026 - Data Engineering (AI)

June 1, 2026

Job Description Summer Intern 2026 - Data Engineering (AI) TradeStation Plantation, FL <ul><li> On-site, Remote </li></ul>Temporary, Internship Posted 10 hours ago Job Description #WeAreTradeStation Who We Are TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate trading experience for active traders and institutions. We continuously push the boundaries of what's possible, encourage out-of-the-box thinking, and relentlessly search for like-minded innovators. At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that’s using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you’re joining a culture where AI is how we work. What We Are Looking For The Data Engineering Intern will contribute to the development, testing, and automation of data pipelines and workflows within our data engineering and AI ecosystems. This role offers the opportunity to work with cutting‑edge technologies, including machine learning, generative AI, and AI agent frameworks, while developing scalable and automated solutions. The intern will collaborate closely with the team to ensure high‑quality deliverables, experiment with AI‑driven acceleration tools, prototype LLM‑powered agents for workflow automation, and apply best practices in modern data engineering and AI integration. Machine Learning & Artificial Intelligence What You’ll Be Doing <ul><li>Experiment with generative AI to optimize ETL logic, code templates, and metadata enrichment.</li><li>Build and evaluate AI agents for automated data quality checks, documentation generation, and pipeline monitoring.</li><li>Develop and automate testing suites for data engineering workflows and AI-driven applications to ensure reliability and performance.</li><li>Support the development of multi‑agent workflows where multiple AI agents collaborate on data validation, profiling, and anomaly detection.</li><li>Prototype autonomous or semi‑autonomous AI agents to assist with routine engineering tasks (e.g., monitoring pipelines, generating documentation, performing schema checks, triaging pipeline failures).</li><li>Contribute to the development and deployment of AI models and algorithms within data pipelines.</li><li>Collaborate with data engineers and AI specialists to identify opportunities for leveraging machine learning and AI tools.</li><li>Troubleshoot and resolve issues in data workflows, AI models, and automation processes. </li></ul>The Skills You Bring <ul><li>Familiarity with large language models (LLMs) or modern AI APIs (OpenAI, Azure OpenAI, Anthropic, etc.).</li><li>Understanding of RAG pipelines, prompt engineering, or fine‑tuning.</li><li>Strong analytical and problem-solving skills with a passion for data, technology, and AI.</li><li>Familiarity with one or more programming languages (e.g., Python, SQL, or similar) and AI frameworks or libraries (e.g., TensorFlow, PyTorch, or scikit-learn).</li><li>Basic understanding of data engineering concepts such as ETL processes, data pipelines, or big data tools.</li><li>Exposure to AI concepts, including machine learning, natural language processing, or computer vision.</li><li>Ability to work collaboratively in a team environment and take initiative on tasks.</li><li>Interest in learning about AI integration in data engineering, automation, and best practices. </li></ul>Minimum Qualifications <ul><li>Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Artificial Intelligence, or a related field.</li><li>Experience with programming languages such as Python, SQL, or similar.</li><li>Basic knowledge of data engineering concepts, including ETL processes, data pipelines, and databases.</li><li>Familiarity with AI or machine learning concepts and libraries (e.g., TensorFlow, PyTorch, scikit-learn). </li></ul>Desired Qualifications <ul><li>Experience with big data tools and platforms, such as Apache Spark, Hadoop, or Databricks.</li><li>Familiarity with cloud platforms like AWS or Azure.</li><li>Hands-on experience with version control systems (e.g., Git).</li><li>Exposure to MLOps practices, including deploying and monitoring machine learning models.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI) or Python libraries (e.g., Matplotlib, Seaborn).</li><li>Understanding of data governance, security, and compliance practices. </li></ul>TradeStation provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, sexual orientation, age, pregnancy, disability, handicap, citizenship, veteran or marital status, or any other legally recognized status entitled to protection under federal, state, or local anti-discrimination laws. Machine Learning & Artificial Intelligence

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...