Senior Software Engineer, Data Infrastructure

5+ years experience in data infrastructure, data engineering, or analytics engineering roles. Experience with relational databases (Postgres/MySQL), dbt, and Airflow Advocated for and rolled out new technologies or open-source frameworks that empower data and product organizations to make data driven decisions. Experience working with cloud-native big data infrastructure on the public cloud (We use BigQuery and Vertex on GCP). Ability to design effective data models for data warehouse storage for use in analytics and training machine learning models. Experience with steering the maintenance of a data warehouse with contributors from multiple teams. We use DBT and Data hub for metadata, with Airflow for scheduling. An eye for the future, setting us up for success both now and in the long term. Strong ability to prioritize autonomously, knowing when to invest and when to say no.

Design, build, and operate large scale data infrastructure systems across multiple environments to store, aggregate, and progress large amounts of data. Build a data platform-as-a-service for internal customers, ensuring data integrity, sanity, tagging, and discoverability. Bridge the gap between engineering and analytics, helping inform the roadmap for data infrastructure for the company. Implement various ETL infrastructures for the company’s topline metrics, reporting, and product functionality. Establish standards and practices ensuring that the data warehouse is maintained to a high standard.