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About Pantheon Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon’s multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon’s collaborative workflows. The Role 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. What You Will Do 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. What you Need to Succeed Customer/Product Focus: 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. Understanding of Distributed Data Systems: 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. Strong Written and Verbal Communication Skills: The ability to clearly articulate technical designs, project status, and potential risks to both technical peers and non-technical stakeholders (Product, Sales, Finance, etc.). Quality Mindset: Understanding of how to integrate automated test coverage and validation into a deployment pipeline. What you Bring to the Table Demonstrated Experience: 3-5+ years of experience building production services and features, ideally with a mix of Data Engineering expertise. Coding Proficiency: Ability to build maintainable components in Python and/or Go. Database Knowledge: Comfortable using SQL with relational databases (e.g. MySQL, Postgres) and data warehouses (e.g. Snowflake, BigQuery). Cloud & Infrastructure: Experience working with containerization (e.g., Docker, OCI), Terraform, and Kubernetes (K8s). Data Experience: Familiarity with modern data stacks (e.g. Snowflake, dbt, Airflow, Looker) Experience building data pipelines for AI and Machine Learning is a big plus! What We Offer We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team. 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 Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact [email protected]. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment. To review the Employee and Applicant's Privacy Policy, click here. Visa Sponsorship is not available at this time. The Canadian base salary range for this position is 103,206 - 129,008 CAD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. #LI-KM1 #LI-remote

What you’ll do

Build and maintain scalable, reliable data systems and business-critical pipelines while ensuring SLOs are met. Partner with internal teams like Product, Sales Ops, and Finance to deliver high-impact data solutions and support a data-driven culture.

Requirements

Requires 3-5+ years of experience in production services with expertise in Data Engineering and proficiency in Python or Go. Candidates must be comfortable with SQL, relational databases, data warehouses, and cloud infrastructure tools like Kubernetes and Terraform.

Benefits

• Industry Competitive Compensation • Equity Plan • Paid Time Off • Paid Sick Leave • Paid Company Holidays • Full Medical Coverage • Dental Insurance • Vision Insurance • Top-of-line Equipment • In-office Workspace • Wellness Allowance • Reading Allowance • LinkedIn Learning Access

Listed skills

• Python · Preferred
• Go · Preferred
• SQL · Preferred
• MySQL · Preferred
• PostgreSQL · Preferred
• Docker · Preferred
• Terraform · Preferred
• Kubernetes · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Go
• SQL
• MySQL
• Postgres
• Snowflake
• BigQuery
• Docker
• Terraform
• Kubernetes
• dbt
• Airflow
• Looker
• Data Engineering
• Distributed Data Systems
• Data Architecture

Job areas

• Data & Analytics
• Software
• Technology
• Engineering