Senior Analytics Engineer (AI Insurance SaaS)

Join our leading AI Guidance Platform in the insurance industry as a Senior Analytics Engineer. In this pivotal role, you will design and develop a scalable analytical data platform, build and maintain robust ETL/ELT pipelines, establish data quality standards, and collaborate with data scientists and analysts. You will also stay up-to-date on the latest trends in data engineering and analytics, and identify opportunities for continuous improvement. Enjoy a comprehensive benefits package, including premium medical insurance, 401K with employer matching, and an employee stock option plan.

• Lead the design, development, and implementation of a scalable, reliable, and efficient analytical data platform.
• Build and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources into the data warehouse.
• Establish and enforce data quality standards and processes to ensure data accuracy and integrity.
• Demonstrated experience with cloud data warehousing solutions (e.g. BigQuery, Snowflake, Redshift)
• Strong proficiency in SQL and experience with data modeling techniques (e.g., star schema, dimensional modeling)
• Excellent problem-solving and analytical skills, along with passion for data and a commitment to data quality
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience with programming languages such as Python, Java, or Scala
• Experience building and maintaining ETL/ELT pipelines using tools like Dagster, Apache Airflow, dbt, or similar
• Experience with data governance and data quality tools and processes is highly desirable
• 5+ years of experience in data engineering, with a focus on building analytical data platforms