Senior Data Engineer

🚀 Hiring: Senior Data Engineer📍 Seattle, WA (Hybrid – 3–4 Days Onsite)💼 Experience: 6–12 YearsClient is looking for a Senior Data Engineer to join a high-impact AI/ML platform engagement with a leading specialty retailer. This is a hands-on engineering role focused on building production-grade, real-time data pipelines that power machine learning workflows and customer analytics at scale.🔹 What You’ll Work On:• Build event-driven streaming pipelines using Kafka & Flink• Develop scalable transformations on GCP / BigQuery• Engineer high-performance Python data workloads using Polars/Pandas• Deploy ML pipeline components using Kubeflow Pipelines & Vertex AI• Design scalable event-store architectures for customer event processing• Partner with ML engineers, platform teams, and data scientists to deliver model-ready datasets🔹 Required Skills:✔ Kafka & Flink streaming experience in production environments✔ Strong SQL and BigQuery optimization expertise✔ Python data engineering with Pandas/Polars at scale✔ Experience with Kubeflow Pipelines (KFP), Vertex AI & Docker✔ Event-store design and schema management expertise✔ Strong communication and stakeholder collaboration skills⭐ Nice to Have:• Retail / E-commerce domain experience• Exposure to Iceberg, Delta Lake, or Confluent Schema Registry• Consulting or client-facing experience• Google Cloud certifications📌 Work Arrangement:• Hybrid role – candidates must be able to work onsite in Seattle 3–4 days/week