Data Engineer

Vetcove provides eCommerce and mobile platforms enabling veterinary practices to compare and buy supplies from all vendors in one place.
$100,000 - $160,000
Data
Mid-Level Software Engineer
Remote
101 - 500 Employees
3+ years of experience
Healthcare

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 large datasets efficiently. The role combines technical expertise in Python, database management, and data engineering with the opportunity to impact the veterinary healthcare sector directly. You'll be part of a Y Combinator and venture-backed growth stage company, working remotely with a competitive compensation package including equity and comprehensive benefits. The position requires strong technical skills, analytical thinking, and the ability to collaborate effectively with various teams to support Vetcove's mission of helping veterinary organizations focus more on patient care and less on supply management.

Last updated 2 months ago

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

Python
  • 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

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • 100% remote within the USA
  • Medical, Dental, and Vision Insurance
  • Automatic 401k contribution
  • Employee referral program
  • At home office set up
  • Bi-annual company retreats
  • Open vacation policy
  • Equity
  • Monthly team events

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