12 hours ago
Remote, United StatesIntern
H1B sponsor
Responsibilities
- Develop data platforms, SQL queries, pipelines, and tools for ingesting, cleaning, enriching, and optimizing enterprise data.
- Build semantic models and reusable data assets that support analytics, applications, and AI use cases.
- Prototype AI solutions, automated scripts, agentic workflows, and LLM implementations for business problems.
- Implement data-quality checks, monitoring, alerting, and observability capabilities for data platforms and pipelines.
- Contribute to reusable frameworks, automated testing, platform reliability improvements, and developer tooling.
- Build integrations connecting data and AI tools with enterprise corporate systems.
- Participate in design reviews, code reviews, documentation, production-readiness activities, and architectural planning.
- Research emerging AI tools, open-source libraries, generative AI, agentic applications, and AI-assisted development tools.
- Support business stakeholders by explaining technical concepts and documenting how to use data and AI tools.
Requirements
- Currently pursuing a bachelor’s degree in computer science, machine learning, software engineering, or a related field and will have completed at least the sophomore year at the start of the internship.
- Demonstrated proficiency in modern programming, preferably Python, Java, or Go, along with object-oriented programming and scripting fundamentals.
- Understanding of machine learning algorithms, techniques, best practices, or a strong academic interest in artificial intelligence, machine learning, and natural language processing.
- Hands-on experience with data analysis, manipulation, visualization, SQL, and relational database concepts.
- Basic familiarity with version control tools such as Git or GitHub.
- Strong analytical, problem-solving, written communication, verbal communication, collaboration, adaptability, and ownership skills.
- Preferred exposure to Airflow, dbt, PySpark, Spark, Snowflake, AWS, Azure, GCP, data quality, observability, monitoring, platform reliability, APIs, event-driven systems, distributed systems, and DevOps tools.
- Practical experience through academic projects, hackathons, prior internships, research, personal coding projects, or open-source contributions involving data engineering or software development is preferred.
Benefits
- Paid 13-week summer internship running from late May to mid-August.
- Remote, hybrid, and onsite work options are available; the team operates remote-first across the U.S., India, and Brazil.
- Mentorship, professional development, weekly learning experiences, and potential opportunities for extended roles or full-time employment.
- Benefits include health, dental, and vision insurance, retirement savings, paid time off, health savings and flexible spending accounts, life and disability insurance, and tuition reimbursement.
Tech Stack
Categories
AI ApplicationsData Engineering
About WEX
WEX is a public financial technology company that provides corporate payment solutions to fleets, healthcare/benefits administrators, and travel businesses. Its products include fuel and mobility cards, virtual card payments, and platforms for HSAs/FSAs/HRAs, with revenue from payment processing and software/service fees. Founded in 1983 and headquartered in Portland, Maine, WEX trades on the NYSE under WEX and was formerly known as Wright Express.