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Senior Data Engineer

Job in Buffalo, Erie County, New York, 14201, USA
Listing for: Reown
Full Time position
Listed on 2026-10-20
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
About Wallet Connect

Wallet Connect is one of the core infrastructure teams in Web3 — we build the connectivity layer that lets wallets and apps communicate securely across blockchains. Since launching in 2018, we’ve grown into a network of 75,000+ apps, 700+ wallets, and 50+ million users. Our mission is to power the financial internet by making digital ownership and payments interoperable and accessible.

We’ve recently launched Wallet Connect Pay — a payments solution that lets merchants and payment providers leverage blockchain rails for new payment experiences, like stablecoin checkout, payouts, and deposits.

Backed by $38M from investors like Union Square Ventures, Shopify, Coinbase Ventures, Circle Ventures, and Uniswap Labs, we’re a global, remote-first team that values openness, simplicity, innovation, and ownership. We’re entering our most ambitious chapter yet. Wallet Connect Pay is an end-to-end crypto and stablecoin payment method built on the world’s largest wallet network — already embedded in Stripe, Coinbase Commerce, Shopify, Moon Pay, Shift4, and Bit Pay, with a landmark partnership with Ingenico bringing stablecoin payments to 40M+ terminals across 120+ countries.

The Role

This is a Senior Data Engineer position on the Data Engineering team. You’ll work closely with the Data Engineering Lead to design and scale the data platform powering Wallet Connect’s payments infrastructure and ecosystem analytics. This role sits at the intersection of data engineering and backend systems. You’ll build and operate event-driven data pipelines, maintain real-time processing systems, and ensure data quality across high-volume transactional workflows.

You’ll also build backend services that expose data to internal platforms and APIs, so teams across the company can consume it. Day-to-day, you’ll work with Python, SQL, Click House, Airflow, and dbt within an event-driven architecture. You’ll own the systems you build end-to-end — including monitoring, reliability, and data correctness — and collaborate with product, engineering, and infrastructure teams to support new data use cases as the platform grows.

As Wallet Connect scales into payments, data is foundational, not optional. From wallet connection success rates and transaction health to financial reconciliation, merchant reporting, and operational monitoring, our data systems must be as reliable as the payment flows they track. We’re building a next-generation data platform to support real-time payments infrastructure, developer tooling, and product analytics. This hire joins at the moment we’re moving from MVP pipelines to scalable production architecture, and we need a senior engineer who can help design and operate the data foundation behind a global payments network.

Data

Platform & Pipeline Engineering

Design, build, and operate scalable data pipelines for Wallet Connect payments and platform data — event-driven, near real-time processing across high-volume transaction flows. Maintain and evolve the real-time data platform, moving it from MVP pipeline to scalable production architecture. Model and process transactional and ledger-style data — financial reconciliation, merchant reporting, wallet fee breakdowns, and settlement tracking. Contribute to improving the overall data platform architecture as requirements grow.

Data

Quality & Observability

Ensure data accuracy, freshness, and observability across critical workflows — payments flow correctness, wallet connection success rates, and transaction health. Build monitoring and alerting that meets the reliability bar required for financial data systems. Own data quality across the pipeline — from ingestion through transformation to downstream consumption.

Backend Services & Data…
Position Requirements
10+ Years work experience
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