Hybrid Senior Data Engineer: Data Warehousing & DataOps

Simbe Robotics; San Francisco (CA); On-site; USD 135,000 - 170,000; Full time

Job summary

Simbe Robotics in the San Francisco Bay Area is seeking a Data Engineer to design, implement, and scale our analytics infrastructure, enabling analytics engineers and data scientists to build metrics with DataOps best practices.

The role focuses on data warehouses, cloud data sharing, cost controls, data quality, and governance, with collaboration across application database teams to deliver timely insights.

Qualifications

• End-to-end data warehouse ownership and design.
• Data modeling for analytical use cases.
• Strong DataOps practices and collaboration.
• Data security and governance awareness.

Responsibilities

• Ingest data into BigQuery and create data-marts using dbt.
• Guide data ingestion from clients and design scalable feeds and reports.
• Monitor and optimize cloud costs for the data platform.
• Establish data quality tests and governance framework.
• Ensure security/compliance across data access and sharing.

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 Robotics in the San Francisco Bay Area is seeking a Data Engineer to design, implement, and scale our analytics infrastructure, enabling analytics engineers and data scientists to build metrics with DataOps best practices.

The role focuses on data warehouses, cloud data sharing, cost controls, data quality, and governance, with collaboration across application database teams to deliver timely insights.