[Hiring] Software Engineer - Data Platform @Pantheon Systems

Role Description

The Data Platform team powers Pantheon's data infrastructure and delivers analytics across the company. We are dedicated to providing reliable, scalable, and high-performance data solutions that drive business intelligence and operational excellence across the entire company. We are currently seeking a highly motivated and experienced Software Engineer II to join our dynamic team and play a pivotal role in shaping the future of data at Pantheon.

• 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.

Qualifications

• An understanding of the direct or indirect business value of their work, ensuring that data solutions align with company-wide goals and provide maximum impact for internal and external customers.
• Familiarity with the concepts and challenges of processing large-scale datasets across distributed systems and a clear grasp of trade-offs when designing solutions for high throughput and low latency.
• The capability to design, implement, and optimize scalable data models (e.g., dimensional, normalized) for both data warehouse (OLAP) and transactional (OLTP) systems to ensure data integrity and query performance.
• The ability to clearly articulate technical designs, project status, and potential risks to both technical peers and non-technical stakeholders (Product, Sales, Finance, etc.).
• Understanding of how to integrate automated test coverage and validation into a deployment pipeline.

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).

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.