Senior Data Products Engineer: Scale Pipelines & Models

Strava; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Strava is seeking a Senior Data Engineer to join the Data Products team in San Francisco. You’ll build and operate data pipelines, access layers, and platform tooling that power Strava’s data products and embeddings at scale.

You’ll collaborate with ML engineers, data scientists, and product teams to ensure reliability, freshness, and well-defined contracts, with a hybrid model requiring three days on-site per week.

Qualifications

• Experience building and operating complex data-intensive backend systems at scale.

Responsibilities

• Build and operate data pipelines and data products at scale.
• Develop and maintain APIs and tooling for internal data products.
• Collaborate with ML, data science, and product teams.
• Own end-to-end delivery from design to production monitoring.
• Contribute to self-serve tooling and developer experience.

Skills

Data pipelines

Backend systems

Platform tooling

Contract design

Self-serve tooling

AWS

Python

Scala

Go

Kubernetes

Docker

Distributed systems

ML embeddings

Model evaluation

Tools

Spark

Kafka

Flink

Iceberg

Snowflake

Job description

Strava is seeking a Senior Data Engineer to join the Data Products team in San Francisco. You’ll build and operate data pipelines, access layers, and platform tooling that power Strava’s data products and embeddings at scale.

You’ll collaborate with ML engineers, data scientists, and product teams to ensure reliability, freshness, and well-defined contracts, with a hybrid model requiring three days on-site per week.