Skip to main content

Serval

Data Engineer

San Francisco$150k–$250kfulltimemidAdded today

About this role

Serval seeks their first dedicated Data Engineer to build and own the entire data stack from scratch. You'll consolidate data from production systems and SaaS platforms into a unified warehouse, establish data governance and quality standards, and partner with business teams to define and track key metrics at scale.

What you'll do

  • Design and implement a unified data warehouse consolidating data from Postgres, CRM, marketing, billing, support, and finance systems
  • Build and maintain ETL/ELT pipelines using modern tools to transform raw data into production-ready datasets
  • Create clean, documented data models with clear lineage and standardized naming conventions to enable self-serve analytics
  • Partner with cross-functional teams to translate business questions into metrics and analytical solutions
  • Establish data quality, governance, and security practices from the ground up
  • Make architectural and vendor decisions for the data stack, balancing scalability, cost, and maintainability

What they're looking for

  • SQL and PostgreSQL expertise
  • Python for data pipelines and scripting
  • Data warehouse platforms (Snowflake, Databricks, or similar)
  • ETL/ELT tools (Fivetran, dbt, or comparable)
  • AWS and infrastructure-as-code (Terraform)
  • Data modeling and dimensional design
  • Business analytics and metrics definition
  • Stakeholder communication and product intuition
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Serval

Serval builds an AI-native enterprise automation platform that enables intelligent workflow automation for sophisticated IT and security buyers. The company is hiring for technical pre-sales, infrastructure engineering, and security leadership roles to scale its cloud and self-hosted deployments while establishing comprehensive security foundations across its multi-tenant platform.

View all jobs at Serval

Likely interview questions

  • Walk us through how you've built a data warehouse from scratch—what was your approach to consolidating disparate data sources?
  • Describe your experience with dbt or similar ELT tools. How have you used them to maintain data model quality and documentation?
Unlock all 7 questions free — and practice them live →