Manage and evolve data ingestion, sanitation, and transformation pipelines.
Design performant data pipelines for ingestion and transformation of complex datasets into usable data products.
Build scalable infrastructure that supports hourly, daily, and weekly update cycles.
Implement automated QA checks that catch data anomalies before they reach clients.
Re-architect parts of our system to improve performance or reduce cost.
Support team members through code reviews and collaboration.

B.A./B.S. in Computer Science, Software Engineering, or a related field; training in statistics/mathematics/machine learning is a plus.
3-5 years of experience building scalable, reliable data pipelines and data products in a cloud environment (AWS preferred).
Deep understanding of ELT processes and data modeling principles.
Strong programming skills in Python (or similar scripting languages).
Advanced SQL skills and intermediate to advanced relational database design experience.
Familiarity with joining large behavioral datasets like Adobe and GA4 clickstream data.
Excellent problem-solving skills and attention to data detail.
Experience managing and prioritizing multiple initiatives with minimal supervision.

Data Analytics Engineer

Key skills