Key skills
AirflowBigQueryDockerKubernetesMySQLPostgresPythonSQLTerraformGoData EngineeringAnalyticsLookerSnowflakedbtK8sSales
About this role
Role Overview
- Build scalable, reliable data systems while maintaining SLOs for business-critical pipelines.
- Partner with other internal teams such as Product, Sales Ops, and Finance to deliver high-impact data solutions.
- Support self-service tooling and a data-driven culture across Pantheon's teams.
- Contribute to the technical strategy and operations of Pantheon's data platform.
- Stay up-to-date with industry trends and technologies in data engineering, analytics, and modern data platforms.
- Continuously improve our standard of engineering excellence by implementing best practices for data architecture, testing, pipeline reliability, and documentation.
Requirements
- 3-5+ years of experience building production services and features, ideally with a mix of Data Engineering expertise.
- Ability to build maintainable components in Python and/or Go.
- Comfortable using SQL with relational databases (e.g. MySQL, Postgres) and data warehouses (e.g. Snowflake, BigQuery).
- Experience working with containerization (e.g., Docker, OCI), Terraform, and Kubernetes (K8s).
- Familiarity with modern data stacks (e.g. Snowflake, dbt, Airflow, Looker)
Tech Stack
- Airflow
- BigQuery
- Docker
- Kubernetes
- MySQL
- Postgres
- Python
- SQL
- Terraform
- Go
Benefits
- Industry competitive compensation and equity plan
- Paid Time Off (PTO), Paid Sick Leave (PSL) and 12 Paid Company Holidays
- Full medical coverage (Extended health care, dental, vision)
- Top-of-line equipment
- In-office workspace (Vancouver, BC Canada)
- Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development
- Events and activities both team-based and company wide that inspire, educate and cultivate