Senior Data Engineer (Data Lake)

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.

We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.

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.

About the Data Lake Team

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+ 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).

You will contribute to building various data platform components, actively incorporate user feedback, and proactively drive improvements. Here are some of the projects you may be involved with:

• Own and evolve our pipeline framework that orchestrates 10,000+ jobs daily.
• Shift workloads from batch to streaming, shrinking model-to-production latency from days to hours.
• Design and develop the Data Quality framework and wire it into every Constructor core service.
• Enable Spark on Kubernetes, giving teams elastic, cost-efficient compute.
• Develop tooling for delivering backfills throughout the data platform.

Requirements

• We are seeking an engineer with at least 4 years of experience who possesses strong programming skills (ideally in Python) and expertise in big data engineering, web services, and cloud platforms (ideally AWS). We are looking for someone eager to build diverse components and drive the evolution of our platform.

Benefits

• Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year.
• Fully remote team - choose where you live.
• Work from home stipend! We want you to have the resources you need to set up your home office.
• Apple laptops provided for new employees.
• Training and development budget for every employee, refreshed each year.
• Maternity & Paternity leave for qualified employees.
• Work with smart people who will help you grow and make a meaningful impact.
• This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job-related knowledge, skills, experience, and interview results.
• Regular team offsites to connect and collaborate.

Diversity, Equity, and Inclusion at Constructor

At Constructor.io, we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status, or affiliation in any other protected group.

Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.