Software Engineer II - Data Platform

Responsibilities

• Build scalable and reliable data systems and business-critical pipelines while maintaining SLOs.
• Partner with Product, Sales Ops, Finance, and other internal teams to deliver data solutions.
• Support self-service tooling and promote a data-driven culture.
• Contribute to the technical strategy and operations of the data platform.
• Design resilient, fault-tolerant, and idempotent systems that support failure handling and reprocessing.
• Implement testing, validation, observability, documentation, and other engineering best practices.

Requirements

• 3–5+ years of experience building production services and features, ideally including data engineering.
• Proficiency building maintainable components in Python and/or Go.
• Experience with SQL, relational databases such as MySQL and Postgres, and data warehouses such as Snowflake and BigQuery.
• Experience with Docker or OCI containerization, Terraform, and Kubernetes.
• Familiarity with modern data tools including Snowflake, dbt, Airflow, and Looker.
• Understanding of distributed data systems, large-scale data processing, high-throughput and low-latency trade-offs, system design, and pipeline reliability.
• Experience with Git workflows, code review, unit and integration testing, automated validation, logging, monitoring, and alerting.
• Experience building data pipelines for AI and machine learning is a plus.
• Strong written and verbal communication skills and the ability to work with technical and non-technical stakeholders.

Benefits

• Industry-competitive compensation and equity plan.
• Paid time off, paid sick leave, and 12 paid company holidays.
• Full medical coverage including extended health care, dental, and vision.
• Top-of-line equipment.
• In-office workspace in Vancouver, British Columbia, Canada.
• Monthly wellness and reading allowance and access to LinkedIn Learning.
• Team-based and company-wide events and activities.