Who you are

- 5+ years building production software, with at least 2 to 3 of those focused on data engineering

- Strong programming skills in Python and advanced proficiency in SQL

- Proven experience building ETL/ELT pipelines end to end, from ingestion through serving

- Hands-on experience with a cloud platform (AWS, GCP, or Azure) and a modern data warehouse (Snowflake, BigQuery, or Redshift)

- Experience with workflow orchestration tools like Airflow

- Experience supporting BI tools such as Looker or Tableau, and building semantic layers and dashboards

- Deep fluency across the full data lifecycle: ingestion, storage, processing, transformation, and serving

- Experience in early-stage or 0-to-1 environments

- Experience with streaming pipelines such as Kafka or Kinesis

- Exposure to ML/AI data pipelines, data analytics, or data science concepts

- Familiarity with Ruby and Rails

What the job involves

- You'll be our Senior Data Engineer, reporting to engineering leadership and taking ownership of a data platform that is still in its early stages

- This is a high-ownership, build-from-the-foundation seat: you'll shape the architecture, stand up reliable pipelines and trusted data models, and set the engineering standards that let our data scale with the company

- If you want real ownership over foundational infrastructure at a profitable, fast-growing company, rather than maintaining someone else's system at a larger one, this is that role

- Platform & Architecture:

- Design and scale our data platform across pipelines, models, and orchestration





- Define and implement systems for data ingestion, storage, processing, and transformation

- Optimize systems for performance, scalability, and cost from the start

- Pipelines & Engineering Practices:

- Build scalable ETL/ELT pipelines that ingest from APIs, databases, and event streams

- Apply software engineering principles such as testing, CI/CD, and modular design to data infrastructure

- Establish best practices for data modeling, testing, and quality

- Data Enablement & Partnership:

- Build the semantic layer and dashboards that make data usable across the company

- Partner with engineering, product, and business teams to shape data requirements

- Enable trusted, accessible data for BI and analytics decision-making

Benefits

- Market-competitive salary: We offer a competitive salary as part of a comprehensive benefit package including a 401k

- Equity: We're doubling year over year. This means if we keep executing, the company (and your equity) will be worth a lot

- Health insurance: 100% coverage of employee health & dental insurance plans and 50% for dependents

- Paid time off: Generous PTO policy, including parental leave, so you can rest and recharge

- Office setup: Company laptop + $500 to set up your home workstation

- Investment in you: We help fund your professional development by providing coaching and education

- Remote: The team is fully distributed (read: no office!)

- Extras!: In-person retreats, surprise food deliveries, and games to add zest to your work life

📌 Senior Data Engineer (Canada)
🏢 Instrumentl
📍 Canada