Backend Engineer (Python) for Data-Heavy Experiments — Remote

Constructor; United States; Remote; USD 80,000 - 110,000; Full time

Benefits offered by this job

Unlimited vacation

Fully remote team

Work from home stipend

Apple laptops provided

Training budget

Maternity & Paternity leave

Stock options

Regular team offsites

Job summary

Constructor is seeking a backend-focused engineer to build and own Python services that power experiment assignment, logging, and reporting. The role emphasizes correctness, observability, and product usability, with occasional UI work using Dash while Spark tasks remain a smaller focus.

You will collaborate with Search/Recommendations, ML/DS teams, and customer-facing groups as needed. This is a fully remote role with flexible hours across UTC time zones, valuing maintainable code and

Qualifications

• Strong experience building and owning production backend services in Python.
• Experience with monitoring, alerting, and debugging user-facing systems.
• Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics).
• Ability to ship maintainable software (tests, code review, incremental delivery).

Responsibilities

• Build and maintain backend services for experiment assignment, logging, and report generation.
• Improve scalability, performance, and reliability of experiment reporting pipelines.
• Add product-facing features to the UI to help users launch experiments and interpret results.
• Take technical ownership of projects: shape solutions, break down work, and drive execution with the team.
• Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions).
• Collaborate with Search/Recommendations engineers, ML/DS partners, and customer-facing teams as needed.

Skills

Python

Backend services

SQL

Monitoring & debugging

Testing / incremental delivery

Tools

PySpark

Databricks

AWS

PostgreSQL

Plotly Dash

Sentry

Job description

Constructor is seeking a backend-focused engineer to build and own Python services that power experiment assignment, logging, and reporting. The role emphasizes correctness, observability, and product usability, with occasional UI work using Dash while Spark tasks remain a smaller focus.

You will collaborate with Search/Recommendations, ML/DS teams, and customer-facing groups as needed. This is a fully remote role with flexible hours across UTC time zones, valuing maintainable code and