Description:

Join Vetcove's growing team to transform how veterinarians purchase supplies for pet health.
Vetcove's platforms allow veterinary practices to compare and buy from multiple vendors in one place.
The company serves over 17,000 veterinary hospitals and millions of animals across the U.S.
As a Data Engineer, you will design, develop, and maintain scalable data pipelines.
You will build and optimize infrastructure for data flows in and out of production applications.
The role involves using advanced techniques, including Large Language Models (LLMs) and AI strategies, for data management and analysis.
Responsibilities include designing infrastructure for ingesting billions of records, utilizing databases like ClickHouse, monitoring and optimizing data workflows, and integrating external data sources into the enterprise data warehouse (Snowflake).
Collaborate with backend engineers to ensure seamless data integration and apply AI technologies for data cleaning and structuring.

Requirements:

A Bachelor's degree in Computer Science, Engineering, or a related field is required.
Candidates must have 3+ years of experience using Python for data-centric programming tasks.
A minimum of 3 years of professional experience in data engineering is necessary.
Proven experience in implementing Large Language Models in data pipelines is required.
Ability to design new features around data models with a focus on accuracy, security, and performance is essential.
Strong skills in processing and analyzing large volumes of quantitative and qualitative data are needed.
A methodical and analytical mindset with robust problem-solving skills is important.
Excellent attention to detail and organizational abilities are required.

The salary range for this position is $100,000/year - $160,000/year, plus bonus and equity.
Vetcove offers a comprehensive benefits package, details of which can be found in the “Benefits (Full Time Roles)” section.
Actual compensation may vary based on skills, qualifications, and experience.
The company is committed to creating a diverse and inclusive workplace, providing equal employment opportunities to all applicants.