Senior Data Engineer: BigQuery & Databricks Lead

YETI; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

YETI is looking for a Senior Data Engineer to build and operate their enterprise data platform. This role focuses on Google BigQuery and requires significant experience in data engineering, SQL, and Python programming.

The ideal candidate will have 8+ years of experience, strong problem-solving abilities, and familiarity with tools like Databricks and Google Dataflow. Join YETI to help maintain data quality and support data-driven decisions for our adventures!

Qualifications

• At least 8 years of experience in data engineering primarily in Google BigQuery.
• Extensive experience with Python programming.
• Hands-on experience in GCP BigQuery, Google Airflow, Dataflow and Databricks.

Responsibilities

• Design and build scalable ELT/ETL pipelines using Google Stored Procedures.
• Lead development of analytical data models using Databricks and Google BigQuery.
• Optimize data performance of Google Vertex AI engineering and ML pipelines.

Skills

Experience in data engineering

Writing complex SQL queries

Python programming

Dimensional Modeling

Google BigQuery

Databricks

SAP HANA

Google Dataflow

Education

Bachelor’s degree in computer science or related discipline

Tools

Google Airflow

Terraform

Docker

CI/CD

Job description

YETI is looking for a Senior Data Engineer to build and operate their enterprise data platform. This role focuses on Google BigQuery and requires significant experience in data engineering, SQL, and Python programming.

The ideal candidate will have 8+ years of experience, strong problem-solving abilities, and familiarity with tools like Databricks and Google Dataflow. Join YETI to help maintain data quality and support data-driven decisions for our adventures!