TradeStation · 16 hours ago
Summer Intern 2026 - Data Engineering (AI)
TradeStation is an online brokerage firm focused on delivering an ultimate trading experience for active traders and institutions. The Data Engineering Intern will contribute to the development, testing, and automation of data pipelines and workflows within the data engineering and AI ecosystems, working with cutting-edge technologies and collaborating closely with the team to ensure high-quality deliverables.
Financial Services
Responsibilities
Experiment with generative AI to optimize ETL logic, code templates, and metadata enrichment
Build and evaluate AI agents for automated data quality checks, documentation generation, and pipeline monitoring
Develop and automate testing suites for data engineering workflows and AI-driven applications to ensure reliability and performance
Support the development of multi‑agent workflows where multiple AI agents collaborate on data validation, profiling, and anomaly detection
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)
Contribute to the development and deployment of AI models and algorithms within data pipelines
Collaborate with data engineers and AI specialists to identify opportunities for leveraging machine learning and AI tools
Troubleshoot and resolve issues in data workflows, AI models, and automation processes
Qualification
Required
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Artificial Intelligence, or a related field
Experience with programming languages such as Python, SQL, or similar
Basic knowledge of data engineering concepts, including ETL processes, data pipelines, and databases
Familiarity with AI or machine learning concepts and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Familiarity with large language models (LLMs) or modern AI APIs (OpenAI, Azure OpenAI, Anthropic, etc.)
Understanding of RAG pipelines, prompt engineering, or fine-tuning
Strong analytical and problem-solving skills with a passion for data, technology, and AI
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)
Basic understanding of data engineering concepts such as ETL processes, data pipelines, or big data tools
Exposure to AI concepts, including machine learning, natural language processing, or computer vision
Ability to work collaboratively in a team environment and take initiative on tasks
Interest in learning about AI integration in data engineering, automation, and best practices
Preferred
Experience with big data tools and platforms, such as Apache Spark, Hadoop, or Databricks
Familiarity with cloud platforms like AWS or Azure
Hands-on experience with version control systems (e.g., Git)
Exposure to MLOps practices, including deploying and monitoring machine learning models
Experience with data visualization tools (e.g., Tableau, Power BI) or Python libraries (e.g., Matplotlib, Seaborn)
Understanding of data governance, security, and compliance practices
Company
TradeStation
Welcome to the home of those who were born to trade! We empower natural-born traders to hone their strategies with an advanced platform & brokerage services.
H1B Sponsorship
TradeStation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Company data provided by crunchbase