Senior Analytics Engineer
FieldguideAudit and company
San Francisco, United StatesSenior
Bessemer Venture Partners
8VC
Y Combinator
Goldman Sachs Alternatives
Thomson Reuters
Geodesic Capital
Data & AI
About the role
TL;DR
Own the semantic layer, pipelines, and models for Fieldguide Insights.
- •The Data Science team at Fieldguide builds Fieldguide Insights, a product that delivers new-to-the-industry visibility into audit and advisory execution and performance.
- •We are hiring a Senior Analytics Engineer to own the foundation that Insights runs on: the semantic layer, the pipelines, and the models that make every number we ship reliable and defensible.
- •This is a role for a technical, broad engineer who specializes in analytics.
- •You will define the canonical tables, columns, and metrics behind our customer-facing reports, move production logic into governed dbt, and harden pipelines.
- •Your work is the base that our API and MCP-based analytics expose, so correctness is non-negotiable.
- •Key Responsibilities Design and own the Insights semantic layer, establishing canonical definitions for the tables, columns, and metrics behind each report.
- •Migrate production report logic into governed, tested, and portable dbt models.
- •Improve the reliability of business-critical pipelines through proactive monitoring, alerting, and resilience to upstream schema changes.
- •Partner with customers and internal teams on data quality and new environment launches.
- •Contribute to the design of a Kimball-style dimensional warehouse.
- •Requirements 4+ years in a modern data stack, with advanced SQL and deep hands-on dbt expertise.
- •Production-quality Python, fluent with version control and CI.
- •Skilled dimensional modeler (Kimball, slowly changing dimensions).
- •Deep experience with BigQuery and cloud data warehousing.
- •Based in SF and energized by in-person collaboration.
Required skills
SQLdbtPythonBigQueryCI/CDGit
Nice-to-have skills
LLMsLooker
Domain expertise
fintechcybersecurity
Benefits & perks
Competitive compensation packages with meaningful ownership, Flexible PTO, 401(k), Wellness benefits, Technology and work-from-home reimbursement, Flexible work schedules
Tech stack
SQLdbtPythonBigQueryGitCI/CDLLMs