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Serval is an AI-native automation platform that builds intelligent agents to transform enterprise operations. Founded in early 2024 and backed by Sequoia Capital, Redpoint Ventures, and other leading investors, Serval is trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex.
As the first dedicated Data Engineer at Serval, you will own the entire data stack from day one. Your primary responsibility is to consolidate data currently scattered across multiple systems—in-product, CRM, marketing, billing, support, finance—into a single, well-modeled data warehouse. You'll build the ETL/ELT pipelines, data models, and self-serve analytics layer that make data trustworthy and accessible across the entire organization.
Key responsibilities include:
- Stand up and own the unified data warehouse end-to-end: modeling, pipelines, data quality, and performance
- Partner with cross-functional teams to translate business questions into clear metrics and requirements
- Consolidate data from production Postgres databases and SaaS systems into a single source of truth
- Design clean, performant data models with clear lineage and standardized nomenclature
- Build internal data tools leveraging Serval's own AI agents to automate recurring data questions
- Own data quality, governance, and security from inception
- Make architectural and tooling decisions for the data stack, balancing capability with cost
- Establish data engineering practices and standards for future team growth
Required qualifications:
- 5+ years of data engineering and business analytics experience
- Expert SQL (PostgreSQL) and strong Python for pipeline development
- Hands-on experience building modern data warehouses (Snowflake, Databricks) and ETL/ELT pipelines using modern tools (Fivetran, DBT)
- AWS and infrastructure-as-code (Terraform) experience
- Track record of owning data projects end-to-end, ideally as an early or first data hire
- Strong product intuition and ability to collaborate across technical and non-technical stakeholders
- Comfort with startup pace and ambiguity
Nice-to-have skills include experience with LLM-based data tools, modern data orchestration/streaming, Serval's tech stack (Go, gRPC, React, TypeScript, Kubernetes), self-serve analytics, zero-to-one startup experience, and a CS degree.
