3 months ago
San Bruno, CA, USAMid Level / Senior
H1B sponsor
Base Salary
$185k - $210k/yr
Responsibilities
- Design, build, and maintain scalable data pipelines across product and operational systems.
- Manage reliable data infrastructure that feeds internal analytics and external customers.
- Collaborate with software engineers on product instrumentation and event-data quality.
- Build and maintain the Hex and Snowflake self-serve analytics platform.
- Maintain metrics, table endorsements, and business logic used by analysts and stakeholders.
- Own data quality monitoring, alerting, validation frameworks, and observability tooling.
Requirements
- Have 3–5 years of experience operating production data engineering systems.
- Have built and operated production pipelines using Python, SQL, and tools such as dbt, Airflow, or Fivetran against a cloud data warehouse such as Snowflake.
- Have used infrastructure-as-code tools such as Terraform or Pulumi to provision and manage data infrastructure.
- Understand automated testing, staged rollouts, and rollback practices for pipeline and infrastructure changes.
- Have experience working with transactional databases such as PostgreSQL or Amazon RDS and understanding OLTP versus analytical workloads.
- Preferred qualifications include experience with self-serve analytics tooling, recommendation or personalization systems, LLM-based product logic, distributed systems, Mixpanel, Tableau, data contracts, data mesh, warehouse access governance, or event tracking.
Tech Stack
Categories
Data Engineering