Senior Software Engineer

My client are hiring a Senior Software / Data Engineer to help build a large scale structured data platform powering an AI native product and external data services.

This is a hands on systems role focused on transforming messy, real world data into reliable, queryable systems at scale. You will own core pipelines and services across ingestion, enrichment, and delivery, with direct impact on product capabilities and customer outcomes.

The role sits at the intersection of backend engineering, data systems, and applied information extraction. You will work on ingestion reliability, data quality, and platform interfaces in a high ownership environment.

Key Roles and Responsibilities

• Build pipelines that turn raw inputs into structured datasets with rich metadata and relationships
• Design and operate systems ensuring reliability and freshness of large scale ingestion workloads
• Develop and optimize extraction, normalization, and resolution utilities across references and entities
• Expose datasets and services via APIs and streaming interfaces
• Build benchmarking and evaluation harnesses to measure data quality and system performance
• Own services end to end from design through deployment and operation
• Improve robustness against upstream change, edge cases, and data drift
• Collaborate with product and engineering partners to integrate data into production workflows

Ideal Candidate

• Strong backend leaning technical generalist comfortable owning systems end to end
• Experience building or operating production ingestion systems or data pipelines
• Fluency in Python and SQL with pragmatic infrastructure experience
• Track record working with messy real world data and delivering reliable systems
• Builder mindset with preference for simple, robust solutions
• Comfortable operating with ownership and ambiguity in a small, fast moving team

Nice to Have

• Experience with information extraction, search, or graph structured data
• Exposure to ML or AI assisted data workflows
• Experience with data quality monitoring, anomaly detection, and evaluation
• Full stack capability for internal tools or data interfaces

We're particularly interested in people who've operated recently at a Head of/Staff level but are excited about advances in AI so would be interested in getting back into an Individual Contributor capacity.