Data Engineer

📋 Description

• Design, implement, and maintain ETL/ELT pipelines across systems for clean, scalable data flows.
• Own the data warehouse architecture, partitioning, access controls, and security.
• Partner with data science, engineering, Revenue Operations, and exec stakeholders to define KPIs.
• Champion data quality and governance; ensure insights are reliable and documented.
• Take full ownership of billing data infrastructure, including backend warehouse tables and data models.
• Build dashboards and analytics delivering actionable insights for leadership, GTM, product, and finance.

🎯 Requirements

• 5+ years in data/analytics engineering, supporting GTM/business in fast-paced environments.
• Data integrations across Salesforce, HubSpot, Amplitude, Sigma, Clay, and similar tools.
• Expertise in Python and SQL; experience with BigQuery, dbt, Fivetran, Airflow.
• Familiarity with financial data and regulatory considerations.
• Hands-on AWS or GCP, Docker/Kubernetes, and CI/CD pipelines.
• Strong communication and stakeholder management with executives and non-technical teams.

🎁 Benefits

• Competitive salaries
• Excellent medical, dental and vision benefits
• Participation in the employee stock option program
• Flexible Time Off policy
• 401(k) with generous company match
• Remote worker reimbursement of $300/year