Your responsibilities:

• Coach analysts and data scientists on software engineering best practices (e.g., building testing suites and CI pipelines)


• Establish, build and maintain analytics data layers to speed up analytics solution building


• Write production-quality ETL code with an eye towards performance and maintainability


• Build software tools that help data scientists and analysts work more efficiently (e.g., writing an internal Python tooling package for analysts to use)


• Collaborate with data engineers on infrastructure projects (where they advocate for and emphasize the business value of applications)


• Explore new data sources and making them usable for the team

What we look for:

• 5+ years experience in engineering analytics solutions


• Expert SQL and Python skills


• Experience in using Airflow or similar. Experience with dbt is a plus


• Experience using analytical tools (Tableau, statistical, visualization)


• Public cloud experience, Amazon AWS is preferable


• Great team player: you collaborate effectively with team members, express technical leadership supporting your views and ideas while keeping open to different opinions


• Avid learner who stays up-to-date with the latest trends and can vet with pragmatism and long-term vision the adoption of new technologies


• Master’s or PhD degree in computer science, engineering or equivalent working experience


• Ability to speak and write English fluently