Senior Data Engineer — Hybrid, Scalable Pipelines

Socket.dev; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Strava is seeking a Senior Data Engineer to join our Data Team. You will design and operate data pipelines, build robust domain models, and evolve dbt workflows while ensuring data quality and governance across the data warehouse and data lake.

The role requires collaboration with analytics engineers, software engineers, and security teams. The position follows a flexible hybrid model with on-site work in San Francisco three days per week, supporting our data-driven analytics and product

Qualifications

• 3–5+ years in Data Engineering, Data Infrastructure, or related field with production data systems ownership.

Responsibilities

• Design, build, and operate foundational data systems for analytics and business use cases across Strava.
• Build scalable data ingestion and transformation frameworks for data lake and warehouse.

Skills

SQL & Modeling

dbt/Airflow/Spark

Programming: Python/Scala/Java/Go

Data Warehouses/Data Lakes

Data Governance/GDPR

Cloud: AWS/GCP/Azure

Production Data Systems

Data Quality/Observability

Tools

Snowflake

Databricks

BigQuery

Redshift

Iceberg

Delta Lake

Job description

Strava is seeking a Senior Data Engineer to join our Data Team. You will design and operate data pipelines, build robust domain models, and evolve dbt workflows while ensuring data quality and governance across the data warehouse and data lake.

The role requires collaboration with analytics engineers, software engineers, and security teams. The position follows a flexible hybrid model with on-site work in San Francisco three days per week, supporting our data-driven analytics and product