We are building a next-generation intelligent data platform for private markets - a greenfield initiative that will reshape how financial data is ingested, normalized, validated, enriched, and distributed across a complex ecosystem. As a Senior Software Engineer, Data, you will own the end-to-end delivery of core pipeline components: schema mapping, data normalization, validation, enrichment, and distribution to downstream systems.
Requirements
- 4–7 years of software engineering experience, with a track record of shipping production systems end-to-end
- Strong backend engineering fundamentals - backend services, data pipelines, and API design
- Hands-on experience with data pipeline or data warehouse engineering: ETL/ELT patterns, schema design, normalization, and data distribution
- Production experience building with LLMs - prompt design, model integration, and output validation in real systems
- Fluency with AI-assisted and agentic development workflows
- Experience with AWS data infrastructure; Redshift experience a plus
- Strong written communication - able to document technical decisions clearly for engineering and product audiences
- Ability to critically evaluate AI-generated code and outputs, including identifying failure modes and regressions
Benefits
- Health, dental, and vision care for you and your family
- Life insurance
- Mental wellness coverage
- Fertility and growing family support
- Flex Time Off in addition to company-paid holidays
- Paid family leave, medical leave, and bereavement leave policies
- Retirement saving plans
- Allowance to customize your work and technology setup at home
- Annual professional development stipend