Founding Senior Data Engineer, Domains Search

📋 Description

• Build and own data pipelines powering search (ingestion, processing, enrichment, indexing).
• Design and maintain feature pipelines for ML models and ranking.
• Own embedding pipeline infrastructure at scale.
• Extend feature store infra for training and inference features.
• Establish data quality monitoring, validation, and alerting.
• Collaborate with ML Engineering on index refresh and schema evolution.
• Partner with Data Science for clean, reliable data for experimentation.
• Make pragmatic infra decisions and reuse existing systems where possible.

🎯 Requirements

• 6+ years of data engineering experience, 2-3+ years supporting ML or search.
• Built and operated batch and streaming pipelines at scale on AWS, GCP, or Azure.
• Strong SQL with Spark, Airflow, dbt, or similar.
• Familiar with ML infra: feature stores, vector databases, embeddings; experience with search systems (Elasticsearch, Solr, Vespa).
• Data ownership: schema design, validation, monitoring, and debugging.

🎁 Benefits

• Cash compensation range: $128,500 - $231,500 USD.
• Medical plans with 100% covered premiums.
• Fertility and adoption benefits.
• Headspace mindfulness app subscription.
• Global Employee Assistance Program.
• Retirement benefits with employer match.