Data Engineer
Description For Data Engineer
Vetcove is transforming the $50B+ animal health industry by providing an innovative eCommerce platform that serves over 17,000 veterinary hospitals across all 50 states. As a Data Engineer at Vetcove, you'll be instrumental in designing and developing scalable data pipelines that power our growing platform. You'll work with cutting-edge technologies including Large Language Models (LLMs) and AI strategies to manage and analyze vast amounts of data. The role involves working with high-performance databases like ClickHouse and Snowflake, implementing ETL processes, and ensuring seamless data integration across our systems. You'll be part of a mission-driven team that helps veterinary organizations spend more time providing care and less time managing supplies. This Y Combinator and venture-backed growth stage company offers an opportunity to make a significant impact in modernizing veterinary practice operations while working with advanced technologies and handling complex data challenges. The position requires strong technical skills, particularly in Python and data engineering, combined with the ability to implement AI solutions for data management.
Responsibilities For Data Engineer
- Design and build infrastructure to efficiently ingest and support billions of records
- Utilize databases such as ClickHouse for high-performance storage and querying of large datasets
- Monitor, troubleshoot, and optimize data workflows, including ETL processes
- Assist in integrating external data sources into analytics team's enterprise data warehouse
- Collaborate closely with backend application engineers to ensure seamless data integration
- Apply LLMs and other AI technologies to automate data cleaning and structuring processes
Requirements For Data Engineer
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3+ years of experience using Python for data-centric programming tasks
- 3+ years of professional experience in data engineering
- Proven experience implementing Large Language Models in data pipelines
- Ability to design new features around data models with accuracy, security, and performance in mind
- Strong ability to process and analyze large volumes of quantitative and qualitative data
- A methodical and analytical mindset with robust problem-solving skills
- Excellent attention to detail and organizational abilities
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