Senior Product Development Engineer 1 - Data

Requirements:

• 5+ years of data engineering experience, with at least 1 year in a lead or senior technical role.
• Experience building and scaling streaming data pipelines in large-scale, distributed environments.
• Strong skills in Python, Java, and SQL with expert-level skill in either Python or Java.
• Proven experience building streaming data pipelines (e. g., Kafka, Flink, Spark, Kinesis).
• Experience with embedding pipelines and vector stores (e. g., Pinecone, Weaviate, FAISS, pgvector).
• Strong knowledge of data modeling, storage optimization, and retrieval patterns for large-scale systems.
• Hands-on experience with workflow orchestration tools (Airflow, Dagster, etc. ).
• Strong collaboration and communication skills, able to partner across AI engineering, infra, and product teams.
• Familiarity with testing, monitoring, and automation for data pipelines.

Preferred Qualifications:

• Experience integrating AI-ready data stores with LLM orchestration frameworks (LangChain, LangGraph, etc. ).
• Knowledge of observability and monitoring stacks (Datadog, Prometheus, or equivalent).
• Background in governance and compliance practices for enterprise data platforms.
• Experience building data frameworks, registries, or accelerators adopted by multiple teams.