Senior Data Engineer, Data Products — Scaled Pipelines

Strava, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 190,000 - 270,000; Full time

Job summary

Strava, Inc. is seeking a Senior Data Engineer to join our Data Products team in a hybrid role with on-site days in San Francisco.

You will build and operate data pipelines, embeddings, and data products powering the Strava app, collaborating with ML engineers, data scientists, and product teams to ensure reliability, freshness, and well-documented internal products. The ideal candidate has extensive experience with back-end data systems, distributed processing, and modern data tools, and can

Qualifications

• Experience building and operating complex, data-intensive backend systems at scale.
• Experience designing data products, pipelines, APIs, and platform tooling.
• Familiarity with embeddings, ML data concepts, or ML-inspired data workflows is a bonus.

Responsibilities

• Build and operate data products used across the Strava app.
• Develop and maintain data pipelines, APIs, and platform tooling for derived data products.
• Contribute to self-serve tooling and golden paths for product/CUJ teams.

Skills

Data modeling

Back-end design

Distributed systems

API design

Education

Bachelor's degree in CS/SE or equivalent

Tools

Spark

Kafka

Flink

Iceberg

Snowflake

Kubernetes

Docker

Python

Scala

Go

Job description

Strava, Inc. is seeking a Senior Data Engineer to join our Data Products team in a hybrid role with on-site days in San Francisco.

You will build and operate data pipelines, embeddings, and data products powering the Strava app, collaborating with ML engineers, data scientists, and product teams to ensure reliability, freshness, and well-documented internal products. The ideal candidate has extensive experience with back-end data systems, distributed processing, and modern data tools, and can