data
Added 1 weeks agoSenior Analytics Engineer
at ezyVet
Westbrook, United StatesHybrid
Responsibilities
- Own the transformation layer in Snowflake, building and maintaining modeled datasets (silver/gold tier) from raw and bronze - tier sources.
- Design for clarity, performance, and reuse.
- Build and maintain a semantic layer that makes our data discoverable and consumable by analysts, AI agents, and data catalog platforms.
- Define, document, and help drive adoption of data modeling standards, testing practices, and documentation norms across the team's Snowflake environment.
- Establish patterns that analysts and engineers can follow consistently.
- Support and extend our data catalog (Alation) by maintaining asset documentation, lineage, and discoverability.
Requirements
- We are seeking a Senior Analytics Engineer to build the trusted data foundation behind Point - of - Care analytics, reporting, and emerging AI - enabled insight generation.
- You'll own the transformation and semantic layer that sits between raw data infrastruc ture and the analysts, applications, and AI tools that consume it.
- Today, analysts, applications, and emerging AI tools all depend on a trusted, well‑modeled layer to deliver accurate insights.
- Your work determines how reliably our teams can analyze instrument performance, understand customer experience, and generate AI‑enabled insights across IDEXX’s diagnostic portfolio.
- Serve as a technical resource and mentor across the analytics pillar, raising the floor on SQL rigor, version control practices, and data modeling fluency.
- Help design and deploy AI- enabled workflows and agent applications against it, including automated data quality monitoring and tools that reduce repetitive analysis and recurring reporting effort across the team.
- experience with dbt or comparable transformation and versioned modeling practices.
- Advanced Snowflake proficiency, including performance tuning, architecture understanding, and the ability to design models that scale.
- Demonstrated ability to operate autonomously at a senior level: scoping work, setting priorities, and delivering without close oversight.
- Genuine curiosity about AI and LLM tooling applied to data.
- You don't need to be an ML engineer, but you should be thinking about how structured data and metadata enable intelligent systems.
- Experience working in environments where the data infrastructure was better than the modeled layer on top of it, and you wanted to fix that gap.
- Ability to be excited about AI not because of the hype, but because you can see how clean, well-structured data makes it actually work.
- Python for data transformation, scripting, or prototyping.
- Experience with Airflow or similar orchestration tools. Familiarity with data catalog platforms such as Alation, DataHub, or similar.
- Experience with warehouse-native AI features such as such as semantic models, agent frameworks, or natural language query interfaces.
- Background in enterprise environments with complex, multi - source data ecosystems.
- If meaningful work and a sense of purpose are at the top of your list, you’ll find it here.
Benefits
- What you can expect from us: Base salary range of $130,000 to $150,000 based on
- experience Opportunity for annual cash bonus Health / Dental / Vision
- Benefits Day-One 5% matching 401k Additional
- benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more Why IDEXX: We’re proud of the work we do, because our work matters.
- At IDEXX, you’ll be supported by competitive compensation, incentives, and
Additional details
- Why this role matters: Point‑of‑care diagnostics generate some of the most valuable data in IDEXX, but that data is only as powerful as the models, definitions, and structure behind it.
- When the modeled layer is clean, tested, documented, and consistent, everything built on top of it becomes faster, more accurate, and more scalable. In this Role
- You will: You'll design and maintain modeled datasets in Snowflake that support product analytics, customer
- experience insights, and operational reporting across IDEXX's diagnostic instrument portfolio.
- Embed business definitions, metric logic, and relationship metadata into the models and their documentation.
- Partner with our Senior Data Engineer on medallion architecture decisions, taking ownership of the transformation logic so infrastructure work can stay focused on orchestration, ingestion, and platform reliability.
- Engage directly with business stakeholders and cross - functional partners to understand data needs, translate them into scalable model designs, and challenge
- requirements when the better answer is to reshape the question.
- You should have strong convictions about project structure, testing strategy, and documentation standards.
- Strong data modeling skills spanning dimensional, wide - table, and hybrid approaches.