Senior Data Engineer

Mesh•San Francisco, CA

10d•$180,000 - $200,000•Hybrid

About The Position

Mesh is hiring a Senior Data Engineer to own how the company defines, instruments, validates, and delivers data generated by money movement across exchanges, wallets, and chains. The role works hands-on in SQL and Python to produce reliable analytics for clients, Finance, and internal teams, and to build safeguards that let AI agents query company data safely. The position spans product and client analytics, experiment analysis, platform-migration comparisons, data integrity and reconciliation, event instrumentation, finance-grade settlement and billing reporting, AI-enabled self-service data, and client-facing reporting products. The role partners across product, engineering, Finance, and clients to turn accurate data into decisions and usable services. Mesh describes a remote-friendly, hybrid approach. Employees based in its San Francisco, New York, and Bangalore hubs are expected to work in the office at least 40% of the time, approximately two days per week; requirements may vary by role, team, and business needs. The listed base salary range is $180,000–$200,000 USD. Compensation may vary based on experience, skills, qualifications, and geographic location. The stated range excludes commission, equity, and benefits.

Requirements

Expertise in SQL; T-SQL, SQL Server, and Spark SQL are advantageous.
Solid Python skills.
Hands-on product analytics experience with Amplitude, Mixpanel, or similar tools, including event design and funnel/conversion-rate modeling.
Comfort with experiment design and statistics for A/B test readouts.
Experience building production data-quality checks, reconciliations, or backfills.
Habit of validating numbers against source systems before sharing them.
Clear written communication, including the ability to explain data issues to engineers, a CRO, and clients.
Daily use of AI coding and analysis tools.
Approximately 3 or more years in analytics or data engineering.
Approximately 5 or more years of end-to-end ownership of a data domain.

Responsibilities

Own product and client analytics, define core metrics such as conversion and transaction success rates, and maintain central Amplitude data with reusable, templated charts.
Build internal and external dashboards for clients.
Baseline and analyze A/B tests involving flow UI variants and algorithms, translating results into product decisions.
Build apples-to-apples data comparisons between platforms to support migration decisions.
Run and automate daily reconciliation triage and the verification engine to protect data integrity.
Define backend event schemas and tracking plans, and normalize fields for analytics.
Deliver settlement and billing reporting using Microsoft Fabric and Power BI, including parity validation, alerting, and self-service access for Finance.
Build skills and tools for the internal data agent, log and audit agent-generated SQL, and maintain accurate self-service data channels.
Help develop self-service reporting, reconciliation, and billing exports for clients.