Role Summary
We are looking for an experienced Data Engineer to partner with our Data & Devices and Business Intelligence teams to own and scale our data pipelines and data infrastructure. As a Senior Data Engineer, you’ll work closely with colleagues across the company to develop a deep understanding of our data streams and to design data and analytics solutions that support core business functions such as underwriting and analytics.
What You’ll Do
Collaborate with Engineering and Business Intelligence teams to design, test, develop, and maintain pipelines between cloud data sources.
Interface with key stakeholders such as finance and sales to understand their needs and the data they generate.
Develop backend features for core platform features including developer APIs, device management and underwriting.
We’re Looking For Someone With
4+ years experience in a relevant field
Fluency with SQL and Python
Familiarity with dbt, Snowflake and reverse ETL tools
Experience with AWS Cloud Infrastructure or similar platform
Our Stack
Backend: Python with Flask, SQLAlchemy, and Celery
Infrastructure: AWS with PostgreSQL, EC2, Lambda, and friends managed through Terraform
Frontend: modern JS with React/Redux
Mobile: Android with Kotlin
Business Intelligence Tools: dbt, Hevo, Snowflake, Sisense visualization service
Apply via :
jobs.lever.co
