Fieldguide

Fieldguide

Senior Analytics Engineer

San Francisco, CA · Senior

Sponsorship not specifiedDetected 19 days ago
PythonSQLBigQuerydbtData ScienceData VisualizationLLMsCollaboration

About the role

  • 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.

Responsibilities

  • Design and own the Insights semantic layer, establishing canonical definitions for the tables, columns, and metrics behind each report so the numbers we ship are trusted and consistent across the business.
  • Standardize how we define core metrics, reconcile them across data sources such as Amplitude, and clearly document any variances.
  • Contribute to the design of a Kimball-style dimensional warehouse built to serve both traditional BI and emerging LLM and MCP-based analytics.
  • Help drive the migration of BI reporting onto the semantic layer, from report inventory and classification through cutover planning.
  • A skilled dimensional modeler (Kimball, slowly changing dimensions) who designs data models built to last as the business evolves.
  • Analytically fluent, with a strong sense for data quality and the judgment to validate that results are correct, not just computed.
  • A collaborative partner who thrives working across teams, coordinating with Infrastructure and App Platform teams to deliver shared outcomes.

Requirements

  • 4+ years in a modern data stack, with advanced SQL and deep hands-on dbt expertise across modeling, testing, and project structure.
  • Deep experience with BigQuery and cloud data warehousing, including cost and performance optimization.
  • Experience feeding LLM or AI-native data interfaces (semantic layer, MCP, text-to-SQL guardrails).

Compensation

  • Competitive compensation packages with meaningful ownership

Benefits

  • Migrate production report logic into governed, tested, and portable dbt models, strengthening test coverage and reusable macros along the way.

Company info

  • Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners, specifically in cybersecurity, privacy, and financial audits. Put simply, we build software for the people who enable trust between businesses.
  • We're based in San Francisco, CA and we're backed by top investors, including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.
  • We value diversity-in backgrounds and experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide's team is inclusive, driven, humble, and supportive. We are deliberate and self-reflective about the kind of team and culture we are building, seeking teammates who are not only strong in their own aptitudes, but who also care deeply about supporting each other's growth.
  • As an early-stage startup employee, you'll have the opportunity to help build the future of business trust. We make audit practitioners' lives easier by consolidating up to 50% of their work and improving work-life balance. If you share our values and enthusiasm for building a great culture and product, you'll find a home at Fieldguide.
  • Fearless - Inspire and break down seemingly impossible walls
  • Fast - Launch fast with excellence; iterate to perfection
  • Lovable - Deliver happiness and 11-star experiences
  • Owners - Execute and run the business with ownership
  • Win-win - Create mutual value and earn trust for life
  • Inclusive - Scale the best ideas with inclusive teams
  • Competitive compensation packages with meaningful ownership
  • Flexible PTO
  • 401(k)
  • Wellness benefits starting on your first day
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This listing is sourced directly from Fieldguide's careers page and normalized into a canonical job model.