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Senior Data Engineer, Platform

Job description

We are supporting a specialized VC firm in financial services, with offices in New York, London, and Berlin, focused on building, backing, and buying technology-enabled financial and business services companies. The firm is incubating a new insurtech venture aimed at digitizing life-insurance distribution across North America and expanding into wealth-advisory use cases.

You will join as a Founding Data Engineer, designing and implementing the venture’s core data platform. You’ll collaborate with product, engineering, and operations to build scalable data models, pipelines, and integrations that enable high-quality decision-making.

Responsibilities
  • Design and maintain Snowflake data models supporting analytics and core application workflows.
  • Build and manage data ingestion, transformation, and processing pipelines.
  • Architect event-driven data ingestion using AWS services.
  • Implement Snowpipe, Streams, Tasks, and related Snowflake capabilities.
  • Build data quality, lineage, and observability mechanisms.
  • Ensure high data reliability, performance, and security.
  • Collaborate on data modeling to support internal and external reporting.

  • Requirements
  • 5+ years in data engineering
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Strong experience with Snowflake: schema + table design, snowpipe, streams, tasks
  • Strong SQL skills
  • Experience building event-driven pipelines
  • Experience with ETL/data pipelines
  • Strong understanding of data modeling and warehouse design
  • Ability to collaborate closely with engineering and product teams

  • Nice to have
  • Experience with financial or insurance data
  • Experience building hybrid data architectures

  • Additional Information
  • 1-year contract with extensions based on performance
  • Competitive USD hourly rates aligned to experience
  • Remote in Latin America (EST)
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