Staff Data Engineer

Company	Route
Location	Santa Monica, CA, USA, San Francisco, CA, USA, New York, NY, USA, Lehi, UT, USA
Salary	$176000 – $198090
Type	Full-Time
Degrees
Experience Level	Senior, Expert or higher

5+ years of experience in data engineering or a similar field.
Expertise in Snowflake, DBT, Databricks, and Spark for data processing and analytics.
Strong programming skills in Python for data pipeline development and automation.
Experience with Snaplogic, Airflow, or similar ETL orchestration tools.
Proficiency in cloud infrastructure and data services within the AWS ecosystem.
Hands-on experience with Terraform for infrastructure as code.
Strong problem-solving skills with the ability to work independently in a fast-paced environment.
Excellent communication skills and ability to collaborate across teams.

Own and maintain the reliability of existing data ingestion pipelines, ensuring uninterrupted data flow.
Design, develop, and optimize new data ingestion and integration pipelines.
Work cross-functionally with data analysts, product managers, back-end and front-end engineering teams, and business stakeholders to deliver robust data solutions.
Leverage Snowflake, Databricks, DBT, and Spark to build scalable and high-performance data processing solutions.
Implement and maintain Snaplogic, Airflow, and Terraform for ETL orchestration, workflow automation, and infrastructure as code.
Ensure high availability, scalability, and security of data infrastructure using the AWS suite.
Troubleshoot and optimize performance across the data pipeline stack.
Stay ahead of industry trends and continuously improve data engineering best practices.