Data Engineer

📋 Description

• Design, implement, and maintain ETL/ELT pipelines across systems.
• Own data warehouse architecture, including partitioning and security.
• Partner with data science, engineering, and exec stakeholders to define KPIs.
• Champion data quality and governance for reliable insights.
• Own billing data infrastructure, including backend tables and models.
• Build dashboards and analytics for leadership, GTM, product, and finance.

🎯 Requirements

• 5+ years of data engineering or analytics engineering.
• Proven data integrations across Salesforce, HubSpot, Amplitude, Sigma, Clay.
• Python, strong SQL, and the modern data stack (BigQuery, dbt, Fivetran, Airflow).
• Familiarity with credit or financial data and regulatory considerations.
• Hands-on experience with AWS or GCP, Docker/Kubernetes, and CI/CD.
• Experience building scalable data visualization (Sigma, Looker, Tableau).

🎁 Benefits

• Competitive salaries.
• Excellent medical, dental and vision benefits.
• Participation in the employee stock option program.
• Flexible Time Off policy.
• 12 holidays, 10 paid sick days, and your birthday off.
• Company-paid life insurance.