Senior Data Engineer: Build Scalable Data Pipelines

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

Benefits offered by this job

Hybrid work model in SF

Job summary

Strava, Inc. is seeking a Senior Data Engineer to join our Data Team and help design and operate scalable data pipelines, models, and governance across our data lake and data warehouse.

You will contribute to data ingestion, quality, privacy, and GDPR workflows while evolving our data platform. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office - three days per week.

Qualifications

• 3–5+ years of professional experience in Data Engineering or related field.
• Strong expertise in SQL and data modeling for large-scale analytical systems.
• Experience building ETL/ELT pipelines with dbt, Airflow, Spark or similar.
• Proficient in Python, Scala, Java, or Go and applying software engineering to data systems.
• Familiarity with modern data warehouse and data lake architectures (Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake).
• Knowledge of data governance, lineage, retention, deletion, access control, and GDPR/privacy requirements.

Responsibilities

• Design, build, and operate foundational data systems and shared data assets for analytics and business use cases.
• Develop scalable data ingestion and transformation frameworks for data lake and warehouse.
• Create reusable data engineering tools and abstractions for pipelines and data quality.
• Develop durable domain data models with clear semantics and ownership.
• Implement data governance, privacy, and regulatory compliance workflows.
• Improve reliability and observability of the data platform via testing, monitoring, and tooling.
• Optimize performance, storage, and cost across warehouse and data lake environments.
• Collaborate with cross-functional teams to establish scalable data architecture standards.

Skills

SQL & data modeling

Python/Scala/Java/Go

Data warehousing

Cloud platforms (AWS/GCP/Azure)

Education

3-5+ years in Data Engineering or related field

Tools

dbt

Airflow

Spark

Job description

Strava, Inc. is seeking a Senior Data Engineer to join our Data Team and help design and operate scalable data pipelines, models, and governance across our data lake and data warehouse.

You will contribute to data ingestion, quality, privacy, and GDPR workflows while evolving our data platform. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office - three days per week.