About the Role

In this role you will have the chance to build large additions to our platform ecosystem,

contributing to an infrastructure that centralizes our ETL and streaming infrastructure, enables

experimentation and data development, and powers algorithm development. You will design and

build scalable engineering solutions to solve business and data problems.

Core tech stack used by this role:

S3 using Parquet and Iceberg for data storage

Hive and Iceberg REST catalog as our metadata store

Spark (Python, SQL, Scala) for data transformation

Go, Scala and Java for backend development

Kafka for data streaming

Kubernetes and Helm for service deployments

AWS IAM for access control

Datadog for logging alerting and monitoring

Trino as our federated query engine

You’re excited about this opportunity because you will get the chance to…

Identify, develop, and evangelize tooling, approaches, and data products that raise the

bar of validity in experiment design and analyses across the company

Collaborate with multiple teams and functions to deliver deep-dive analyses and

experiment design for new initiatives and high-priority business areas

Develop and iterate on our processes to empower more efficient and rigorous

experimentation

We’re excited about you because…

You have a degree in an engineering or computer science field

You have 3+ years of work experience in platform engineering, with experience on

experimentation platforms

You have experience coding at a production level in Python, Go, and Scala or Java

You’ve built and supported RBAC systems used by enterprise-wide teams

You have experience supporting Iceberg-based data warehouses