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terraform aws sql python dbt📋 Description
- Design and build a reliable, observable, scalable data platform
- Drive the strategy behind our data architecture and tooling
- Collaborate across product, reporting, and platform teams
- Mentor engineers and establish data engineering best practices
- Deliver incremental improvements when things are ambiguous
- Stay adaptable as a startup; things change fast
🎯 Requirements
- 6+ years of data engineering or backend experience
- Proven success building and scaling data pipelines, infra
- Deep knowledge of AWS and open-source data tools (Spark, Iceberg, Kafka, dbt)
- Balance speed with quality; know when to prototype vs scale
- Excellent communication with internal teams
- Technical mentorship and vision setting
🎁 Benefits
- Comprehensive Health Coverage: medical, dental, and vision
- Mental Health Support: weekly therapy reimbursement
- Paid Parental Leave: up to 12 weeks paid
- Financial Wellness: 401K, HSA & FSA options
- Time Off That Counts: 18 PTO days per year
- Hybrid Flexibility: NYC office 3–5x/week, some remote Fridays
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