
501 - 1000 employees
Pantheon is the WebOps platform for websites that deliver extraordinary results. We believe in putting the magic of the internet in everyone’s hands. That’s why we’re so passionate about helping developers, IT, and marketing develop, test, and release website changes faster and more reliably so they can build and maintain websites that create value for their organizations. Our cloud native software makes it easy to securely manage a single website or thousands of websites across multiple teams in one platform.
🔥 12 hours ago
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501 - 1000 employees
Pantheon is the WebOps platform for websites that deliver extraordinary results. We believe in putting the magic of the internet in everyone’s hands. That’s why we’re so passionate about helping developers, IT, and marketing develop, test, and release website changes faster and more reliably so they can build and maintain websites that create value for their organizations. Our cloud native software makes it easy to securely manage a single website or thousands of websites across multiple teams in one platform.
• 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🔥 12 hours ago
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