Data Engineer in Braintree

Our mission is to ensure every pet receives the care they need, regardless of cost. Vet med prices have risen significantly, and pet owners often face tough choices between their finances and their furry friends. At Snout, we aim to solve this by enabling clinics to offer effective pet wellness plans.

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 fewer than 30 employees. We’re looking for an experienced and remote Data Engineer based in the USA to architect and build the data infrastructure that will power our business for years to come.

We are at an exciting inflection point where data is becoming critical to understanding our business, serving our customers, and making strategic decisions. We’re looking for a Data Engineer to build our data foundation from the ground up — someone who thrives on autonomy, loves solving problems, and wants to own something meaningful. This role involves being the go-to expert for all things data, working closely with our engineering team and directly supporting our leadership team with insights that drive our strategy.

You will build the data foundation that powers Snout's growth by creating scalable, automated pipelines that transform raw data from Stripe, APIs, and internal systems into reliable analytics infrastructure. Your work will encompass:

• Designing optimized SQL schemas for both transactional and analytical workloads.
• Building comprehensive financial data models for subscription metrics and revenue recognition.
• Implementing robust monitoring and data quality systems.
• Creating clean, well-documented data marts that empower stakeholders across the company.

From automated board reporting pipelines to ad-hoc analyses on customer behaviour and revenue trends, you will deliver the data solutions that drive marketing automation, customer segmentation, operational dashboards, and strategic decision-making — establishing the infrastructure that scales with the company's ambitious growth trajectory.

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’.

What you’ll do:

• Design and build data pipelines that extract, transform, and load data from Stripe, APIs, databases, and application logs into scalable infrastructure on AWS.
• Develop financial data models supporting subscription analytics, revenue tracking, and key business metrics (MRR, ARR, churn, cohort analysis).
• Collaborate with leadership to translate business questions into data solutions and perform analyses on customer behaviour, payment trends, and performance metrics.
• Maintain and optimize data infrastructure on AWS for performance, cost-efficiency, and reliability while ensuring pipeline stability and data quality.
• Support executive reporting by delivering clean, accurate data for board decks, strategic planning, and investor updates.
• Establish data foundations by creating documentation and implementing best practices that scale with the company's growth.

What we’re looking for:

• 5+ years building production data systems with expert SQL, Python, and JavaScript proficiency, ETLs, and Airflow.
• Payment platform expertise with Stripe API or similar systems like PayPal or Braintree, including hands-on experience with transaction processing and API integrations.
• SaaS financial acumen including subscription metrics (MRR, ARR, churn, cohort retention) and financial data modeling (ledgers, reconciliation, revenue tracking).
• Excellent communication skills and ability to convert business questions into technical solutions and provide data insights clearly to non-technical stakeholders and executives.
• Ownership mentality with pragmatic execution — proactively identifying and solving problems, balancing perfect vs. shipped, and making sound architectural decisions independently.
• Startup-readiness — thriving in ambiguous, fast-changing environments, comfortable wearing multiple hats and working with minimal guidance.

What will make you stand out:

• Data transformation and quality expertise with frameworks like dbt, SQLMesh, or Dataform, plus data quality tools.
• BI and visualization tools experience with platforms.
• Real-time data streaming experience using tools like Kafka, AWS Kinesis, or similar platforms.
• AI/ML pipeline knowledge including data preparation and infrastructure for machine learning models.
• Experience at subscription companies, familiarity with revenue recognition and accounting principles, experience building executive dashboards or board materials.
• Early-stage startup experience as a first/solo data hire or in fast-paced environments, with knowledge of CI/CD practices for data pipelines.

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 are not based or legally authorized to work in the USA.
• 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 don't have 5+ years of hands-on experience building production data systems, or you aren't proficient in Python and SQL databases.
• You haven't worked with payment platforms like Stripe, PayPal, or Braintree, or lack experience with transaction processing and API integrations.
• You’re unfamiliar with SaaS subscription metrics (MRR, ARR, churn, cohort retention) or financial data modeling (ledgers, reconciliation, revenue tracking).
• You struggle to translate business questions into technical solutions or communicate data insights to non-technical stakeholders and executives.
• You prefer clearly defined tasks over proactive problem-solving, need extensive guidance for architectural decisions, or prioritise perfection over pragmatic shipping.

Compensation: $120,000 - $160,000 base salary. Equity.

Benefits: Day 1 medical/dental/vision benefits, flexible time off + 11 Snout calendar holidays, paid parental leave.