As a Data Engineer, you will:
Infrastructure & Pipelines
Own and maintain our data architecture end-to-end: S3, Databricks compute and administration, pipelines, logging, and our internal tooling
Keep the platform healthy and reliable – the data we serve feeds product decisions and customer-facing AI, so correctness and uptime matter
Integrate new data sources and maintain existing ones, handling the messy realities (format changes, awkward upstream systems like NetSuite, schema drift)
Performance & Cost
Identify bottlenecks and optimize for both compute and cost – parallelize workloads, tune table and cluster settings, and keep our Databricks spend sane as we scale. We use AI coding tools heavily to move fast here, but the engineering judgment is yours
Data Access & Reliability
Build and maintain the semantic layer that exposes our data reliably and consistently to analysts and AI tools, so the same question always returns the same trustworthy answer
Implement PII handling and row- and column-level security so sensitive data stays protected everywhere it's consumed.
Infrastructure & Pipelines
Own and maintain our data architecture end-to-end: S3, Databricks compute and administration, pipelines, logging, and our internal tooling
Keep the platform healthy and reliable – the data we serve feeds product decisions and customer-facing AI, so correctness and uptime matter
Integrate new data sources and maintain existing ones, handling the messy realities (format changes, awkward upstream systems like NetSuite, schema drift)
Performance & Cost
Identify bottlenecks and optimize for both compute and cost – parallelize workloads, tune table and cluster settings, and keep our Databricks spend sane as we scale. We use AI coding tools heavily to move fast here, but the engineering judgment is yours
Data Access & Reliability
Build and maintain the semantic layer that exposes our data reliably and consistently to analysts and AI tools, so the same question always returns the same trustworthy answer
Implement PII handling and row- and column-level security so sensitive data stays protected everywhere it's consumed.
Requirements:
Must-Have
4+ years as a data engineer or backend/software engineer working heavily with data
Strong programming skills – you write clean, maintainable code and can debug and reason about it yourself. We're enthusiastic AI users, but you do the thinking; AI helps you go faster, not skip the hard parts
Solid understanding of cloud infrastructure and distributed data processing
Comfortable owning systems end-to-end with minimal supervision
Strong fundamentals in data modeling, pipelines, and SQL
Nice-to-Have
Hands-on experience with Databricks (or willingness to ramp up fast)
Experience building internal tooling / frameworks for other engineers and analysts to use
Background in Fintech, PropTech, or another data-sensitive domain
Experience with security and compliance for data platforms (PII, access controls).
Must-Have
4+ years as a data engineer or backend/software engineer working heavily with data
Strong programming skills – you write clean, maintainable code and can debug and reason about it yourself. We're enthusiastic AI users, but you do the thinking; AI helps you go faster, not skip the hard parts
Solid understanding of cloud infrastructure and distributed data processing
Comfortable owning systems end-to-end with minimal supervision
Strong fundamentals in data modeling, pipelines, and SQL
Nice-to-Have
Hands-on experience with Databricks (or willingness to ramp up fast)
Experience building internal tooling / frameworks for other engineers and analysts to use
Background in Fintech, PropTech, or another data-sensitive domain
Experience with security and compliance for data platforms (PII, access controls).
This position is open to all candidates.
