Senior Data Engineer

As a Senior Data Engineer at Mesh, you own how the company defines, instruments, validates and ships data across hundreds of exchanges, wallets and chains. You work hands-on in SQL and Python, building the guardrails that let AI agents query data safely while enabling clients to see their conversion, volume and settlement data, and helping Finance deliver reporting they can sign.

What you'll do

• Own product and client analytics by defining core metrics such as conversion rates and transaction success rates, maintaining the central Amplitude data with reusable templated charts, and building internal and external dashboards for clients
• Run experiment readouts by baselining and reading out A/B tests on the flow including UI variants and algorithms, then turning results into product decisions
• Prove migrations with data by building apples-to-apples comparisons between platforms so decisions move on evidence rather than intuition
• Guard data integrity by running and automating daily reconciliation triage and the verification engine
• Shape instrumentation by defining backend event schemas and the tracking plan, normalizing fields so data is clean enough for analytics
• Build finance-grade reporting by delivering settlement and billing reporting on Microsoft Fabric and Power BI with parity validation, alerting and self-serve access for Finance
• Make data AI-native by building skills and tools for your internal data agent, logging and auditing agent-generated SQL, and keeping self-serve data channels accurate
• Turn data into client products by helping shape self-serve reporting, reconciliation and billing exports that clients pay for

What you bring

• Expert-level SQL skills, with T-SQL, SQL Server and Spark SQL a plus
• Solid Python skills
• Hands-on experience with product analytics tools such as Amplitude or Mixpanel, including event design and funnel and CVR modeling
• Comfort with experiment design and statistics for A/B readouts
• Experience building data quality checks, reconciliations or backfills on production data
• A habit of validating numbers against source systems before anyone else sees them
• Strong writing skills to explain a data issue clearly to engineers, executives and clients
• Daily use of AI coding and analysis tools
• Approximately 3+ years in analytics or data engineering
• Approximately 5+ years with end-to-end ownership of a data domain

What we offer

• Base salary of $180,000-$200,000 USD, with actual compensation varying based on experience, skills, qualifications and location
• Equity that grows as you and the company grow
• Comprehensive health coverage for you and your family
• Unlimited PTO
• Dedicated budget for courses, conferences and certifications
• Remote-friendly work with in-office expectations of at least 40% of the time (approximately two days per week) for employees based in San Francisco, New York and Bangalore hubs
• Top-tier tools and equipment needed to do exceptional work

About Mesh

Mesh enables consumers to pay and be paid with any asset by making crypto payments reliable, useful and ubiquitous. The company combines a powerful orchestration engine with a seamless consumer app to unlock liquidity for the world, and is backed by leading investors including SBI, Money Forward, Paradigm, Dragonfly, Galaxy and PayPal Ventures.