Data & Analytics Engineer

Role Overview

As Data & Analytics Engineer, you’ll own the day-to-day health and usability of an existing Airtable → BigQuery data pipeline. The majority of your work will involve writing and reasoning about SQL queries against BigQuery, reconciling data discrepancies, and translating ambiguous requests from non-technical stakeholders into precise, correct answers.

What You Will Do

Write and maintain SQL queries against BigQuery to answer recurring and ad hoc business questions from the investment team, proactively identify and resolve data reconciliation issues, and translate ambiguous requests into precise technical definitions.

Why It Might Be a Fit

This is a high-autonomy, high-trust role that requires strong, hands-on SQL skills, experience reconciling data discrepancies, and excellent written and verbal communication skills to translate technical findings for non-technical business stakeholders.

Requirements

• Strong, hands-on SQL skills — comfortable writing complex queries independently against a cloud data warehouse (BigQuery preferred)
• Demonstrated experience reconciling data discrepancies and diagnosing ‘why don’t these numbers match’ problems in a real production dataset
• Working knowledge of BigQuery and the broader GCP ecosystem
• Experience with Airtable, including automations and/or scripting (or comparable low-code CRM/database tooling)
• Excellent written and verbal communication skills, with proven ability to translate technical findings for non-technical business stakeholders
• Strong independent judgment — comfortable working with ambiguity and making a judgment call on how to proceed without heavy oversight
• Experience working in a remote, asynchronous, high-autonomy setup