Senior Data Engineer with MLOps Experience
Location: Seattle (downtown, onsite 4 days per week)
Experience: 10+ years
Level: Senior Engineer / Senior Engineer 2
Rate: $60-65
Location: Seattle (downtown, onsite 4 days per week)
Experience: 10+ years
Level: Senior Engineer / Senior Engineer 2
Rate: $60-65
We are looking for a seasoned Data Engineer with strong ML platform experience to join a high-impact team building real-time customer event infrastructure on Google Cloud Platform.
Required tech stack:
- Streaming: Kafka consumers, Flink job experience
- Google Cloud Platform Data Stack: BigQuery with strong SQL and query optimization
- Python Data Engineering: Polars or Pandas at scale, Parquet partitioning, large join performance
- ML Pipelines: KFP and Vertex AI pipeline components, Docker basics
- Event Store Design: customer-based partitioning, time-ordered event assembly across sources, schema design for mixed event types (clicks, purchases, returns)
