SKILLS NEEDED TO SUCCEED:

• BS in Computer Science (or in another quantitative discipline); 3+ years of relevant working experience
• Experience working in Python in a professional environment
• Desire to learn new skills and tools (e.g. Redshift, Tableau, AWS Lambda, etc.); bonus for experience with Apache Spark (PySpark), DataBricks, Snowflake, or similar distributed compute platforms
• Experience using data orchestration frameworks such as Airflow, Dagster, Prefect
• Exposure working with a cloud-computing environment (e.g. AWS EC2)
• Comfortable with Linux, including developing shell scripts
• Experience working in insurtech or on AI/ML products is a bonus

We are looking for a Data Engineer to join our team to create and maintain optimal data pipeline architecture and assemble large, complex data sets. You’ll have a hand in every stage of development and are comfortable thinking creatively with tools such as Python, SQL, Airflow, and the AWS ecosystem. The ideal candidate is willing to learn new skills and technologies as the task at hand requires and are adaptable to fluid and evolving project requirements. In this role, you will contribute materially towards shaping and realizing the vision of our business and contribute towards fundamentally changing the way an entire industry does business (really).