Data Engineer

Posted 20 Hours Ago
White Plains, NY, USA
In-Office
150K-190K Annually
Senior level
Pet
The Role
Design, build, and maintain Snowflake-native ELT pipelines and dbt Data Vault models for clinical, operational, and people data. Optimize Snowflake performance, ensure data quality, enable AI/LLM workflows (summarization, tagging, embeddings), and collaborate with engineering and business stakeholders to deliver trusted, analysis-ready datasets.
Summary Generated by Built In

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most by challenging norms and fixing the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7/365, and created an ER experience that focuses on what our pets and pet parents really need. We’ve done the same for our people (VEGgies), finding a way to say YES so they are empowered to achieve great things, grow in unexpected ways, and find a place where they truly belong.

We’re rethinking emergency care from every angle—from how we run our hospitals to how we support the people working inside them. That’s where our headquarters team comes in. Whether building technology to make our hospitals more efficient, recruiting and growing incredible VEGgies, or bringing our brand to life through marketing, our VQ (VEG Headquarters) team makes it all possible—ensuring our hospitals and people have everything they need to help pets and their families.

VEG is a 2025 and 2026 certified Great Place to Work®.


THE JOB

At VEG, we find a way to say YES — so you can build the data foundation that powers how the world's veterinary emergency company runs. As a Data Engineer on our Data Platform and Infrastructure team, you'll deliver trusted, scalable data products across our clinical, operational, and people data — the data behind every report, analysis, and AI use case at VEG. This is a deeply Snowflake-centric role: Snowflake is the core of our platform, and your day-to-day lives in Snowflake-native features, dbt transformation, and a fast-growing suite of AI/LLM capabilities. We're expanding our AI capabilities quickly, and you'll champion AI-assisted development as a core part of how you work. If you're as comfortable writing advanced SQL as you are thinking through architecture and partnering across teams, you'll grow here in ways you didn't expect. This role is hybrid, with presence at our White Plains, NY office 2–4 times per week.

WHAT YOU’LL DO

  • 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.

WHAT YOU NEED

  • 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

WHO YOU ARE

  • 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

HOW WE INVEST IN YOU

  • Competitive Compensation Including $150,000 - $190,000 + bonus + benefits
  • Comprehensive health and wellness benefits that start on day one, and access to free therapy or counseling
  • Paid parental leave, up to 12 weeks at 100% of regular salary, and offering inclusive fertility and family-building care for all types of families
  • Unlimited PTO to use for vacation or sick days—however you need it! 
  • Generous employee referral program, so our awesome people can bring in more awesome people.
  • And the little (big) things, like casual office attire, ability to bring your fur baby to work, cool VEG swag, food in the fridge for when you’re hungry and free lunches twice a week!!
  • Company laptop and a monthly cell phone reimbursement

BETTER TOGETHER: WHY IN-PERSON MATTERS AT VEG HQ 

Our hospitals thrive on in-person collaboration, and VQ is no different. Time in the office sparks stronger connections, meaningful conversations, and better results—all bringing our core values to life. We prioritize being present because our values are best achieved side by side. Plus, we make getting here easy with free parking and a shuttle from the White Plains Metro-North station.


DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

Skills Required

  • 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
  • Experience with Snowpipe, Openflow, Tasks, Cortex, and Streamlit
  • Strong dbt and Data Vault proficiency
  • Expert-level SQL using Snowflake-native functions
  • Python proficiency
  • Fivetran experience for ELT (significant plus)
  • Fluency with Git and GitHub (branching workflows, pull requests, code review)
  • Regular use of AI-assisted development and familiarity with LLM-integrated data pipelines (tagging, summarization, embeddings)
  • Detail-oriented, high accuracy, intellectual curiosity, collaborative working style
Am I A Good Fit?
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The Company
3,482 Employees
Year Founded: 2014

What We Do

Veterinary Emergency Group (VEG) is a venture-backed company providing 24-hour emergency veterinary care across the USA. Their mission is to help people and their pets when they need it most, employing a 'customer first' approach. VEG's revolutionary open-concept hospitals allow pet parents to stay by their pet's side throughout the entire treatment process, ensuring comfort and transparency during medical emergencies.

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