Analytics Engineer

Snout is hiring an Analytics Engineer for a remote role open to applicants in United States. It pays $100k-$160k a year and Level rates it ; you can apply on Snout.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
The posting lists this role as remote.
Tools and skills the posting cites include dbt, BI and data engineering.
Level classifies it as a mid-level role.
Level lists 11 other open roles at Snout.

AI in this role

Build and maintain data infrastructure and analytics pipelines as an Analytics Engineer at Snout.

dbtBI

data-engineeringanalytics-engineeringsqlpython

🐶 Our mission

Every pet should get the care they need, regardless of cost. Vet med prices are up 40% since 2020, and pet owners are stuck having to pick between their bank account and furry friend. At Snout, we aim to solve this by enabling clinics to offer wellness plans that actually work.

🚀 The opportunity

Snout is one of the fastest growing wellness plan providers in the veterinary space, trusted by clinics across the U.S. We’re a small but mighty startup team of <50 employees. We're on the lookout for an experienced and remote Analytics Engineer based in the U.S. to help organize and integrate our databases and software to connect veterinary client data and other sources into powerful, actionable insights.

💻 The role

As our sole Analytics Engineer, you'll be hands-on building and maintaining the data infrastructure that powers Snout — from BI integrations with our veterinary customers to the pipelines and models that make our data reliable and useful. You'll partner closely with teams across GTM, marketing, CX, and engineering to translate business questions into analytics assets that actually get used.
Your impact will be felt across the entire organization. The insights and reporting infrastructure you build will directly shape how Snout's clinic partners experience our product and how our internal teams make decisions. This is a foundational role at a critical stage of our growth.
If you're someone who loves working with data, thrives in ambiguity, and wants to build something from the ground up, we'd love to hear from you!
Snout is committed to building a diverse and inclusive team. We know that great candidates may not check every box — and that’s okay. If you're excited about this role and our mission, we encourage you to apply if you meet at least 75% of “what we’re looking for” including the first bullet point. If you need any accommodations during the application or interview process, please let us know — we’re happy to support you.

🛠 What you’ll do

Integrate with our veterinary partners' software to develop data pipelines and dbt models to support Snout's data offering, ensuring our infrastructure reliably delivers data to analytics and business systems
Understand and translate business needs into executable data transformation models that deliver key technology assets across the organization
Provide analytics modeling, data testing, data engineering, and reporting
Create algorithms to determine relationships between various data sources and surface insights for end users
Discover and deliver insights and reporting to our customers and internal stakeholders

💡What we're looking for

5+ years of experience in data analytics, building and maintaining data infrastructure
Experience across data and analytics, reporting/visualizations, data warehousing, data testing, and analytics engineering
A proven track record of data integration for data model consumption
Experience analyzing large datasets from multiple source systems for reporting consumption
Hands-on experience with Looker, dbt, SQL, Snowflake, and Fivetran (or similar) and coding with python (or similar)
Ability to to collaborate with various departments in a cross-functional environment to deliver useable insights

🌟 What will make you stand out

Experience with real-time data streams, cohorting, data classification, and data lineage
Experience with cloud-based AWS ecosystems and products
Experience at a subscription and/or technology startup

💖 Why you should join Snout

Fast growing, venture capital backed technology company focused on improving access to veterinary care
Ability to have a meaningful impact from Day 1, where your voice and opinion matters
Unlimited potential to grow in your career, learn and expand your skillsets
Collaborative, flexible, and friendly culture

❌ Why this role might not be a fit for you

You don't live near an airport or have the flexibility to travel quarterly
A fast-moving, startup culture feels overwhelming to you and you aren't comfortable with ambiguity and figuring things out as you go
You have limited experience with data infrastructure, warehousing, or analytics engineering
You prefer working in a single-team silo rather than collaborating across functions like GTM, marketing, and engineering
You're not comfortable working with ambiguous or messy data from multiple source systems

💸 Compensation

$100 000 - $160 000 base salary

⚕️Benefits

Day 1 medical/dental/vision benefits
Flexible time off + 11 Snout calendar holidays
Paid parental leave

How we rate this

Analytics Engineer at Snout rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Analytics Engineer is an open job at Snout.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $100k-$160k a year.
The role is based in United States and is marked remote.
The job was posted on June 27, 2026.
Seniority: mid.
Applications are handled by Snout. Apply on Snout

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringAnalytics EngineeringSQLPythondbtBI

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where analytics engineering was part of your work. What did you do?
Tell me about a project where sql was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?
Walk me through how you've used dbt in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Analytics Engineering, SQL, Python, and dbt. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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