Data Engineer Senior
Core
Design and evolve data ingestion, transformation, and availability pipelines supporting products, analytics, and ML models; build integrations with APIs, files, and managed connectors; maintain a Feature Store for external variables.
Role type
Senior Data Engineer
Builds
Data pipelines, Feature Store, and data platform integrations
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, dbt, GCP (BigQuery, Cloud Storage, Cloud Run, Cloud Build), Data Orchestration (Airflow, Prefect, Dagster), ETL/ELT, Git, CI/CD, Docker
Preferred skills
High-volume data architectures, Managed ingestion tools (Fivetran), Marketing/Media data experience, Analytics/ML domain knowledge, Data Governance
Technologies
GCP, BigQuery, Cloud Storage, Cloud Run, Cloud Build, dbt, Airflow, Prefect, Dagster, Python, SQL, Docker
Responsibilities
Design and evolve data pipelines; Build integrations with APIs, files, and managed connectors; Maintain and evolve Feature Store; Create and organize dbt transformations; Create and maintain reliable data orchestrations with testing; Investigate incidents and implement root-cause solutions; Evolve data architecture for performance and modularity; Support Product, Analytics, Operations, and ML teams
Seniority
Senior, hands-on IC
