Senior Analytics Engineer

About Us

Constructor is the next-generation platform for search and discovery in ecommerce, 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 ecommerce 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 Role

We are hiring Senior Analytics Engineers across multiple teams at Constructor. Wherever you land, you will turn billions of daily events into reliable, usable data products: the pipelines, models, dashboards, and tools that teams and customers depend on to make decisions.

This is not a pure data engineering role — our analytics engineers combine strong technical craft with genuine business understanding, so the data they model answers the questions that actually matter. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact.

What You'll Do

Design and build data pipelines and data models that power analytics and reporting

Build dashboards, reports, and tools that make large-scale behavioral data usable and trustworthy

Define and validate business metrics together with stakeholders, not just implement them

Ensure data quality, consistency, and performance across systems processing billions of events

Partner with analysts, engineers, and product managers to translate business needs into well-designed data solutions

Work with SQL, Python, and distributed data systems at very large scale

Requirements

Strong experience building data pipelines, data models, and analytics tooling

Expert-level SQL and experience working with large-scale datasets and distributed data systems

Experience with Python for data work and tooling

Experience with modern analytics stacks (e.g. dbt, Airflow, or similar modeling and orchestration tools)

Product & business understanding:

Experience defining and validating business metrics and understanding why they matter

Understanding of product funnels and ecommerce metrics (revenue, conversion, engagement)

Ability to translate stakeholder needs into data models, dashboards, and tools