
501 - 1000 employees
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Pantheon Platform is the WebOps platform for managing websites built on Drupal and WordPress. The company focuses on empowering developers, IT professionals, and marketers to develop, test, and release website changes quickly and reliably, thereby enhancing the management of single or multiple websites. With its cloud-native software, Pantheon aims to help organizations create value through efficient website operations.
🕒 July 1
🌐 United States, Canada – Remote
💵 $116.6k - $162k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
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501 - 1000 employees
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Pantheon Platform is the WebOps platform for managing websites built on Drupal and WordPress. The company focuses on empowering developers, IT professionals, and marketers to develop, test, and release website changes quickly and reliably, thereby enhancing the management of single or multiple websites. With its cloud-native software, Pantheon aims to help organizations create value through efficient website operations.
• 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.
• 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). • Experience building data pipelines for AI and Machine Learning is a big plus!
• Industry competitive compensation and equity plan • Flexible time off, sick days, and 13 paid holidays • Comprehensive medical insurance including Health, Dental and Vision • Paid parental leave (plus fertility, adoption and other family planning benefits) • In-office workspace (San Francisco & Chicago) • 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
Apply Now🕒 June 30
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