Resumen del rol

Senior Data Engineer

Requisitos y responsabilidades

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Key Responsibilities

  • Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data. Evolution of the current architecture from MVP status to a high-availability production environment is a primary focus.
  • Financial Data Modeling: Model and process complex transactional and ledger-style data to support financial reconciliation, merchant reporting, and settlement tracking.
  • Data Quality & Observability: Ensure the accuracy and freshness of data across critical workflows. This includes building robust monitoring and alerting systems that meet the stringent reliability standards of financial infrastructure.
  • Backend & API Development: Build and maintain backend services to expose data to internal platforms and downstream consumers, ensuring clean integration points for product and engineering teams.
  • Operational Ownership: Own systems end-to-end, from initial deployment to ongoing monitoring and reliability. This includes contributing to engineering standards and operational playbooks within a remote-first, asynchronous environment.

Minimum Qualifications:

  • Professional Experience: 5+ years of experience in data engineering or data infrastructure, with a proven track record of shipping and operating production-grade systems.
  • Technical Proficiency: Expert-level SQL skills and strong programming experience in Python or similar backend languages.
  • Modern Data Stack: Significant experience with tools such as Airflow, dbt, ClickHouse, BigQuery, Snowflake, or Athena.
  • Architectural Knowledge: Deep understanding of event-driven architectures and real-time/near real-time data processing.
  • AI Integration: Proficiency in using AI-assisted development tools and agents, maintaining high discipline in validating and productionizing generated code.
  • Reliability Mindset: Experience designing systems where data quality and observability are treated as first-class concerns.

Preferred Qualifications:

  • Sector Expertise: Previous experience in Fintech, payments, or financial infrastructure (specifically reconciliation, settlement, or ledger reporting).
  • Industry Context: Exposure to Web3, blockchain, or crypto ecosystems (on-chain data or wallet analytics).
  • System Scale: Experience handling high-volume event data at scale within a fast-growing startup environment.
  • Languages: Familiarity with Rust is considered a strong plus.

Benefits

  • Remote-First Culture: Fully remote position with a dedicated budget for home office setup.
  • Global Engagement: Opportunities for regular team offsites at international locations and travel to industry conferences.
  • Professional Growth: Meaningful Learning & Development budget to support continuous skill acquisition.
  • Comprehensive Leave: Generous Paid Time Off (PTO) and parental leave policies.
  • Competitive Package: Compensation includes salary and equity components.
  • Healthcare: Coverage provided for US-based team members.

Interview Process

  • System Design: Focused on data architecture and high-volume pipelines.
  • Practical Assessment: A problem-solving exercise focused on logic and approach.
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FocoData EngineeringÁrea del rol
Señal de senioritySeniorNivel del candidato
StackPython, Snowflake, SQLSkills principales
Ubicación38 países aceptadosElegibilidad

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