Senior Data Engineer: Data Lake - Remote Eligible

Senior Data Engineer

Constructor is the next-generation platform for search and discovery in e-commerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so.

Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest e-commerce companies in the world like Sephora, Under Armour, and Petco.

Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.

The Data Lake Team along with the Data Infrastructure team develops the Constructor Data Platform. This platform is a foundational component for all internal data and ML teams. It handles the ingestion of over 1 TB of compressed events daily and manages over 6 PB of data in our data lake. We build the tooling that every Constructor data scientist and ML engineer uses daily - from ingestion APIs (FastAPI) and real-time Analytics (ClickHouse, Cube) to Spark/Databricks pipelines, Delta Lake storage, and observability baked in (VictoriaMetrics, OpenTelemetry).

We're hiring a Senior Data Engineer to work on the Data Lake Team.

This team is responsible for:

• Data platform support (PySpark, Databricks, EMR, Luigi, Airflow)
• Development, optimization and maintenance for data pipelines framework to run 10 000+ of pipelines on a daily basis
• Data modeling (bronze, silver, gold)
• Development and maintenance of a Data Quality framework built on top of DBT
• Development and maintenance of user facing service for the behavioral data ingestion (FastAPI, Docker, AWS ECS)