WalletConnect, Inc.

Senior Data Engineer

WalletConnect, Inc.

full-time

Posted on:

Location Type: Remote

Location: United Kingdom

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Job Level

Senior

Tech Stack

AirflowBigQueryPythonRustSQLWeb3

About the role

  • Design, build, and operate scalable data pipelines for WalletConnect 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.
  • 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.
  • Develop backend services that expose data to internal platforms, APIs, and downstream systems so teams across the company can consume it.
  • Support downstream use cases including financial reconciliation, merchant reporting, operational monitoring, and product analytics.
  • Collaborate with product, engineering, and infrastructure teams to onboard new data use cases and ensure clean integration points.
  • Own and operate the systems you build, including deployment, monitoring, and reliability.
  • Collaborate closely with the Data Engineering Lead on architecture decisions and platform evolution.
  • Contribute to engineering standards, documentation, and operational playbooks for the data platform.

Requirements

  • 5+ years of experience in data engineering or data infrastructure — you’ve built, shipped, and operated production data systems.
  • Strong experience building data pipelines and production data platforms — ingestion, transformation, modelling, and serving.
  • Comfortable using AI-assisted development tools/agents, with strong discipline in reviewing, validating, and productionizing generated code.
  • Expertise in SQL and large-scale data processing.
  • Experience with modern data stack tools: Airflow, dbt, ClickHouse, BigQuery, Snowflake, Athena, or similar.
  • Experience working with event-driven architectures and real-time or near real-time data processing.
  • Strong programming skills in Python or similar backend languages.
  • Experience designing systems with data quality, monitoring, and reliability in mind — you treat data correctness as a first-class concern.
  • Ability to operate independently and own production systems end-to-end in a remote, async team.
  • Nice-to-Haves: Experience in fintech, payments, or financial infrastructure — reconciliation, settlement, ledger reporting, or merchant data.
  • Experience working with high-volume event data at scale.
  • Familiarity with ledger-style or transactional data models.
  • Exposure to Web3, blockchain, or crypto ecosystems — on-chain data, wallet analytics, or token transaction flows.
  • Rust experience or willingness to learn.
  • Experience building data platforms in fast-growing startups where you’ve shaped the architecture from early stages.
Benefits
  • Fully remote position with a budget for your home office or work environment.
  • Regular team offsites to incredible locations around the world.
  • Opportunities to travel to conferences and community events.
  • Generous PTO and parental leave.
  • Meaningful Learning & Development budget.
  • Competitive compensation package including salary, equity, and potentially tokens.
  • Healthcare coverage for US-based team members.
  • The chance to build at the forefront of onchain payments with one of the most recognised companies in Web3.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata infrastructuredata pipelinesdata platformsSQLPythonevent-driven architecturereal-time data processingdata qualitymonitoring
Soft Skills
independencecollaborationdisciplineproblem-solvingcommunication