Senior Data Engineer

This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.

We are looking for a Data Engineer or Analytics Engineer to join our Data team. You will collaborate with the data scientist and engineers to design, build, and scale high-leverage data models, foundational datasets and scalable infrastructure that enables analytics, modeling, and experimentation. Your responsibilities includes:

• Build and optimize high-quality ergonomic foundational datasets and the relevant data pipelines

• Establish data quality management processes at scale

• Build analytical dashboards

Qualifications

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

• A minimum of 2 years of work experience in data engineering

• Hands-on experience in building robust data models and data pipelines

• A self-starter with a bias for action and excellent communication skills, with ability to explain complex technical concepts in easy-to-understand ways

• Expert knowledge of SQL, and popular data engineering tools such as snowflake, dbt, Dagster etc

• Experience working with DS team

• A humble collaborative can-do attitude and natural curiosity