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.

• 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.

• 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

• Experience with financial or insurance data
• Experience building hybrid data architectures

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