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Known brand, metro location, mid-level generalist data role, and popular title increase applicant competition.
Core data engineering skills and common open-source stack transfer easily across industries.
Explicit 2-4 years plus required familiarity with specific data-stack technologies makes filters moderately strict.
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Build and maintain data pipelines using StarRocks, Apache Hudi, Trino, and Spark, supporting AI-powered data features and in-product analytics.
Prepare clean, structured datasets to enable AI-native capabilities such as natural language querying for customers.
Implement data security policies and troubleshoot pipeline issues, escalating complex decisions to senior engineers.
2-4 years of data engineering experience.
Working knowledge of at least one OLAP database (e.g., StarRocks, ClickHouse, Druid).
Some experience or willingness to learn data lake technologies (e.g., Hudi, Iceberg, Delta Lake).
Familiarity with distributed query engines (Trino/Presto) and Spark or strong SQL/Python fundamentals.
Operates effectively under senior mentorship with willingness to gradually take broader ownership of projects.
Interested in AI/LLM-related data engineering and building pipelines for AI features, though not necessarily designing AI models.
Experienced or eager to work in a modern SaaS/B2B data engineering environment focusing on reliable, production-grade data infrastructure.