Related skills
sql databricks airflow pyspark📋 Description
- Lead the data engineering team for Public Investor data products.
- Hands-on player-coach role shaping architecture and delivery.
- Own large-scale data pipelines, datasets, and customer feeds.
- Ensure data quality, observability, and production reliability.
- Collaborate with Product, Research, and Ops to meet needs.
- Apply AI coding tools to accelerate engineering work.
🎯 Requirements
- 8+ years in data engineering, architecture, or related roles.
- 2+ years of hands-on managing data teams.
- Strong SQL, PySpark, Databricks, Airflow experience.
- Built or scaled production data pipelines and datasets.
- Deep judgment in data modeling, quality, observability, reliability.
- Excellent cross-functional communication.
🎁 Benefits
- Flexible hours and vacation policies.
- Generous 401(k) match and parental leave.
- Team events and wellness budget.
- Learning reimbursement and growth opportunities.
- Equity included in compensation.
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