Data Engineer II
Core
Build reliable data pipelines and platform capabilities for customer-facing data movement, analytics products, and machine learning foundations.
Role type
Mid-level IC data engineer
Builds
Next-generation data ingestion and activation platform, Snowflake-based data pipelines, and ML data infrastructure
Domain
SaaS / Customer Engagement / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL/ELT system design, data modeling, schema evolution, batch and streaming data systems, observability, cloud platforms
Preferred skills
Apache Spark, feature stores, Kafka, Pulsar, Airflow, Terraform, infrastructure-as-code, end-to-end testing
Technologies
Snowflake, Databricks, S3, Postgres, Redis, AWS, Kafka, Pulsar, Spark, Terraform, Docker, Kubernetes
Responsibilities
Build and operate source connectors, staging/transformation workflows, and bulk API integrations; improve pipeline reliability via metrics, alerting, and durable execution; partner with data science to build feature generation and model input infrastructure; make tradeoffs across batch/streaming patterns and raw-to-curated modeling; collaborate cross-functionally to define interfaces and debug issues.
Seniority
Mid-level, hands-on IC
