Job Overview
We are seeking a highly skilled and motivated Staff Engineer to join our dynamic team. The ideal candidate will play a pivotal role in designing developing and implementing innovative solutions that leverage big data technologies and analytics. This position requires a strong background in data engineering model training and ETL processes along with proficiency in various tools and frameworks.
Duties
- Design and build scalable fault-tolerant data pipelines and infrastructure (Spark Glue/EMR Redshift ElasticSearch etc.)
- Own ingestion transformation and enrichment layers across billions of data points
- Develop internal tooling to support search streaming and data quality
- Collaborate with backend and product teams to deliver customer-facing features powered by data
- Optimize performance cost and reliability across a growing infrastructure footprint
Requirements
- 8 years of experience in data engineering ideally at high-growth startups (Series A-C)
- Clear track record of building pipelines from scratchno coasting on internal analytics or big corp tooling
- Deep proficiency in: SQL/NoSQL AWS PySpark Redshift ElasticSearch RDS
- Familiarity with data orchestration and streaming systems at scale
- Strong product intuition and an appetite for in-person collaboration
- Bonus: Prior startup experience ex-founder or meaningful side projects
- Experience at a hyper-growth company (not just maintaining legacy)
- Career progression (e.g. IC Lead Manager)
- Work that has shipped to real customers
Join us in our mission to harness the power of data to drive innovation and improve outcomes. We look forward to your application!