Senior Data Engineer

CompanyCam is a photo documentation and productivity app designed for contractors in various industries. They are seeking a Senior Data Engineer to build and maintain scalable data infrastructure, focusing on backend systems integration and event pipeline architecture, while also contributing to the engineering culture and mentoring others.

Responsibilities:

• Design and maintain event-driven pipelines from backend systems (Ruby on Rails) to Snowflake
• Own event pipelines from backend app through Snowplow ingestion
• Establish event tracking standards, documentation, and training for engineering teams
• Support feature flagging and A/B testing infrastructure requirements
• Optimize existing data workflows for efficiency and performance
• Manage Snowflake administration, performance optimization, and cost management alongside the data team
• Build reverse ETL processes and marketing automation data flows using tools like Census
• Collaborate to optimize Snowplow Analytics for event tracking and schema management
• Partner with analytics engineers on dbt deployment, testing, and production workflows
• Act as the technical bridge between engineering and analytics for pipeline questions
• Provide technical guidance to product and engineering teams on event implementation
• Lead training sessions and office hours on event tracking and troubleshooting
• Participate in architecture discussions and cross-team technical decision-making

Requirements:

• Show up: Have the courage to do difficult but necessary work
• Grow up: Take ownership, learn continuously, and bring a growth mindset
• Do good: Treat your teammates and customers the way you'd want to be treated
• 5+ years of backend engineering experience with Ruby on Rails or similar server-side technologies
• 3+ years working with cloud data warehouses (Snowflake strongly preferred)
• Experience with event streaming platforms and event-driven architectures
• Experience with behavioral analytics platforms (e.g., Snowplow Analytics, Segment)
• Hands-on experience with ETL tools (Fivetran, Stitch, or Airbyte)
• Working knowledge of dbt for data transformation orchestration
• Strong background in backend API development, systems integration, and pipeline reliability
• You live and work permanently in the U.S. (We're not set up to hire outside the U.S.)
• Experience with monitoring/observability tools for data pipelines
• Experience with Python
• Experience building reverse ETL and marketing automation data flows
• Familiarity with modern data stack concepts and architecture
• Strong technical communication skills with ability to explain complex systems to diverse audiences
• Track record of setting technical standards and mentoring other engineers