Senior Data Engineer: Cloud Analytics & DataOps

Simbe; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Simbe is hiring a Data Engineer in the San Francisco Bay Area, hybrid with Burlingame office 2-3x per week. The role designs and scales analytics infrastructure, enabling data scientists and engineers to build metrics with DataOps best practices, and collaborates with the cloud ecosystem to share large data sets with clients.

The ideal candidate has deep SQL/Python foundations, experience with data warehouses, and a mindset for cloud systems design.

Qualifications

• Bachelor's or master's degree in Computer Science or related field highly recommended, not required
• 5+ years of experience with SQL, BigQuery, Terraform, Apache Beam, Airflow, and GCP
• Hands-on expertise with dbt and event-driven analytics highly desirable

Responsibilities

• Data Warehousing: Ingest data from Postgres, Google Cloud Storage, Jira, web analytics platforms into BigQuery and transform with dbt.
• External Data Exchange: Define scalable, traceable inbound/outbound data feeds and client data sharing.
• Optimizing and Monitoring Cloud Costs: Control warehousing costs and optimize data workflows.
• Data Quality & Governance: Establish data tests with dbt and provide metric definitions and documentation.
• Security & Compliance: Ensure access controls and GDPR/PII/SOC 2 compliance across data layer.

Skills

SQL

BigQuery

Terraform

Apache Beam

Airflow

GCP

dbt

Education

Bachelor's or master's degree in Computer Science or related field

Job description

Simbe is hiring a Data Engineer in the San Francisco Bay Area, hybrid with Burlingame office 2-3x per week. The role designs and scales analytics infrastructure, enabling data scientists and engineers to build metrics with DataOps best practices, and collaborates with the cloud ecosystem to share large data sets with clients.

The ideal candidate has deep SQL/Python foundations, experience with data warehouses, and a mindset for cloud systems design.