Architect and build database schema, data ingestion models, ETLs, and testing to uphold data integrity and availability
Develop, maintain, and optimize current data architecture and pipelines, while maintaining documentation
Provide leadership and mentorship to junior team members through training, pair programming, and code reviews
Collaborate with product, research, operations, and front-end teams to build innovative solutions to achieve business goals
Perform analysis on large aggregated (e.g. demographic, geographic, GIS / spatial) datasets
Work directly with a development team in California and other offshore development team members in various time zones
Able to overlap with US West coast 3 – 4 hours to handle hand-over discussions, triage issues, etc.

A Bachelor’s degree in Computer Science / Engineering or comparable experience
Excellent programming skills with minimum 5 years of experience in Python (e.g. Pandas, SQLAlchemy, Flask, FastAPI, etc.)
Extensive database skills with minimum 5 years of experience in either MySQL, SQL, or PostgreSQL
Proficiency with Git is required; previous experience with the Atlassian product family (Confluence and Jira) is a plus
Must enjoy collaborative problem solving, have excellent communication skills, and demonstrate attention to detail
Prepared to work independently in a fast-paced, agile environment with the ability to multitask
Track record of keeping up with new cloud technologies, languages, standards, and practices
Prior knowledge of finance, real estate data, mathematics, or GIS / spatial data is a plus
Ability to work independently with minimal supervision
Ability to collaborate effectively with a remote team

Senior Data Engineer

Key skills