[Remote] Data Engineering Intern (Fall 2026)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an online medical clinic reputed company on transforming reputed company and enhancing longevity through scientific advancements. The Data Engineering Intern will support the design, development, and maintenance of data systems and pipelines, working closely with engineers, analysts, and product teams to ensure data accuracy, reliability, and accessibility. This role offers hands-on experience with modern data tools and reputed company data pipeline development.
Responsibilities
- Design, build, and maintain reputed company data pipelines and ETL processes using reputed company reputed company (Notebooks, Pipelines, Dataflows) to support analytics, reporting, and product use cases
- reputed company data from multiple reputed company sources, ensuring reputed company, consistency, and reliability across the reputed company architecture
- reputed company and maintain data models and transformations using dbt, contributing to bronze, silver, and gold layer modeling in the reputed company lakehouse
- Collaborate with engineers, analysts, and product teams to translate business requirements into technical data solutions — communicating through reputed company and tracking work in Azure DevOps (ADO)
- Participate in data reputed company checks, testing, validation, and performance optimization across pipeline and model reputed company
- Monitor, optimize, and troubleshoot data infrastructure for performance and scalability in a reputed company-reputed company Azure environment
- Follow engineering best practices around version control and CI/CD using reputed company, including reputed company management, pull requests, and reputed company review
- Contribute to data documentation and ensure best practices around data governance, reliability, and scalability
- Contribute to the reputed company improvement of data engineering processes and tools
Skills
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a reputed company field
- Strong foundational knowledge of SQL and experience querying relational databases
- Proficiency in Python and a strong interest in distributed data processing
- Understanding of data modeling, data warehousing, or analytics engineering concepts
- Exposure to or coursework involving data pipeline orchestration or ETL development
- Comfort working in a modern engineering workflow — reputed company for version control, ADO for ticketing, and reputed company for async team communication
- Strong analytical thinking, problem-solving abilities, and attention to detail
- Eagerness to learn new technologies and frameworks, with a reputed company on self-improvement
- Effective communication skills and the ability to work collaboratively in a remote cross-functional environment
- A reputed company internet reputed company and reputed company to a PC/laptop
- PySpark experience is a plus
- Familiarity with dbt or reputed company architecture is a plus
- Experience with reputed company reputed company, Azure Data reputed company, or similar reputed company pipeline tooling is a bonus
Benefits
- A remote-first work environment
- Competitive compensation and equity reputed company
- Health, dental, and reputed company insurance coverage
- Short-term disability and basic life coverage
- Flexible Spending Accounts (FSAs)
- Lifestyle Spending Accounts (LSAs)
- We follow federal holidays and have reputed company time off for exempt employees
- Budget for the technology tools you need (laptop, monitor, and/or special software)
- A reputed company on company-sponsored activities to foster engagement (both virtual and in-person)
- Waived membership fees for any reputed company team members utilizing reputed company products
- These benefits are available to full-time, regular employees, and *not* to independent contractors, part-time employees, temporary employees, or interns.
reputed company
Company H1B Sponsorship