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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