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Small Door

Data Engineer

Posted 3 Days Ago
Be an Early Applicant
In-Office
Montréal, QC
Entry level
In-Office
Montréal, QC
Entry level
Assist in building and maintaining data pipelines and tools for analytics and reporting while ensuring data integrity and performance.
The summary above was generated by AI

Small Door is membership-based veterinary care designed with human standards that is better for pets, pet parents, and veterinarians alike. We designed and delivered a reimagined veterinary experience via a membership that includes exceptional care, 24/7 telemedicine, and transparent pricing - delivered with modern hospitality in spaces designed by animal experts to be stress-free. We opened our flagship location in Manhattan's West Village in 2020 and have quickly expanded across the East Coast. Small Door now operates in New York City, Boston, Washington DC, and Maryland with continued expansion plans in 2025.

We’re looking for a motivated, curious, and collaborative Entry-Level Data Engineer to join our growing Data team. In this role, you’ll help build and maintain the pipelines, tools, and systems that power analytics, product insights, and strategic decision-making across the company.

This is a great opportunity for someone early in their career who’s excited to learn, ship fast, and make a real impact at a company where data is core to everything we do.

What You’ll Do

  • Collaborate with the product, technology and data team to build scalable data pipelines (ETL/ELT)
  • Maintain and optimize data infrastructure using tools like dbt, Airflow, and Snowflake (or similar)
  • Support data ingestion from internal and external sources (APIs, application databases, third-party tools)
  • Ensure data integrity, availability, and performance through testing and monitoring
  • Partner with analytics and product teams to make trusted, high-quality data available for reporting and machine learning
  • Write clear, maintainable code and documentation
  • Contribute to the evolution of our data architecture and engineering best practices
  • Help manage the data warehouse and its data model

Who You Are

  • A degree in Computer Science, Engineering, Data Science, or a related field — or equivalent practical experience
  • Proficiency in SQL and Python
  • Familiarity with data modeling concepts and ETL workflows
  • Interest or experience in tools like dbt, Airflow, Snowflake, Redshift, BigQuery, or similar
  • A growth mindset and eagerness to learn from feedback and challenges
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills

What you'll get

  • Competitive salary
  • A great top of the line benefit plan provided by PEO Canada and including short term disability insurance
  • An opportunity to make a real impact on the people around you
  • A collaborative group of people who live our core values and have your back
  • A clear career path with opportunities for development, both personally and professionally
Small Door is proudly a public benefit corporation and a certified B Corp. We are committed to creating a diverse, inclusive and equitable workplace, and we encourage qualified applicants of every background, ability, and life experience to apply to appropriate employment opportunities.

Top Skills

Airflow
BigQuery
Dbt
Python
Redshift
Snowflake
SQL

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