Related skills
sql python dbt data modeling airflow📋 Description
- Lead design/implementation of scalable data pipelines and core analytics tables.
- Collaborate with Product, Eng, and AI/ML teams to define metrics and data contracts.
- Transform workflows by applying AI to generate tests, detect anomalies, and accelerate analysis.
- Mentor engineers in data engineering, observability, and tooling.
- Join a cross-functional R&D team focused on data quality and usability for customers.
🎯 Requirements
- 6+ years of software engineering; at least 4 in data engineering.
- Deep proficiency in large-scale SQL and data modeling.
- Strong Python, with familiarity in Airflow, EMR, Spark/pyspark.
- Experience with modern data platforms and batch/streaming processing.
- Proven ability to lead complex multi-component projects with measurable impact.
- Excellent communication; explain data tradeoffs to non-technical partners.
🎁 Benefits
- Base pay range for US locations: $152,000 – $228,000 USD.
- Annual bonus, equity, and comprehensive benefits.
- Salary transparency and details provided during hiring.
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