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# Data Engineer

- **Company:** Veterinary Emergency Group
- **Location:** White Plains, NY, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Logic, ARM Architecture, Cluster Analysis, Code Review, Information Engineering, Data Structures, Data Vault Modeling, Github, Python (Programming Language), OpenFlow, Query Optimization, Raw Data, SQL Databases, Feature Engineering, GitHub Copilot, Large Language Models, Snowflake, Information Technology, Streamlit Framework, Data Pipelines
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2f966211a9a2712e

## About the Role

Do you have experience in Snowflake?, Do you have a Bachelor's degree?, * 5+ years of data engineering experience building and maintaining production ELT pipelines (Bachelor's in Computer Science or equivalent experience)

 * Deep, hands-on Snowflake expertise - this is the platform, not one tool among many; experience with Snowpipe, Openflow, Tasks, Cortex, and Streamlit strongly preferred
 * Strong dbt and Data Vault proficiency, expert-level SQL using Snowflake-native functions, and Python proficiency (Fivetran for ELT a significant plus)
 * Fluency with Git and GitHub on a collaborative engineering team - branching workflows, pull requests, and code review
 * Regular use of AI-assisted development, plus familiarity with LLM-integrated data pipelines such as tagging, summarization, and embeddings
 * Detail-oriented with high accuracy, strong intellectual curiosity, and a collaborative, working style, * Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
 * Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team's' accomplishments
 * Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results
 * Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

## Description

* Build and maintain the pipelines. Develop and maintain ELT pipelines that onboard new clinical, operational, and people data into VEG's Snowflake warehouse and dbt Data Vault, partnering with engineering and business stakeholders on requirements, reliability, and performance.
 * Own Snowflake as the platform. Use Snowflake-native capabilities - Snowpipe, Openflow, Tasks, Cortex, Streamlit - to design scalable, performant solutions, applying best practices for query optimization, clustering, and resource management as our analytical workload grows.
 * Model trusted, analysis-ready data. Curate clean datasets from raw data and write business logic in dbt so reporting, analytics, and AI use cases run on data people can rely on.
 * Protect data quality. Monitor pipeline health, run detailed QA, and resolve data quality issues across every integrated source.
 * Champion AI-assisted development. Use agentic coding tools (Claude Code, GitHub Copilot) as a standard part of your workflow, and build LLM-integrated pipelines including transcription summarization, automated tagging, and Cortex-powered workflows.
 * Partner on what's next. Design data structures that support AI/ML use cases - feature engineering, embeddings, prompt-ready datasets - provide thought partnership on analytics, and contribute documentation that enables self-service across VEG.


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