Staff Software Engineer, Infrastructure Data Engineering

Role overview Lead the technical direction and hands-on delivery of data products that help teams understand infrastructure usage, costs, ownership, and planning. This staff-level individual contributor role combines large-scale data engineering with cross-team leadership, improving the accuracy and trustworthiness of information used for infrastructure and budget decisions.

Responsibilities - Set direction and help define a roadmap for reliable, scalable infrastructure data products. - Build and operate production ingestion and transformation pipelines, data models, and services for usage, cost, ownership, and planning data. - Improve shared data products through clear data contracts, automated quality checks, reconciliations, documentation, and operational monitoring. - Lead complex initiatives from problem framing and technical decisions through rollout and adoption, and raise engineering quality through design reviews and mentorship. - Use AI to speed up investigation, implementation, documentation, and partner self-service while checking outputs against source data and production evidence. - Operate dependable data services, including testing, monitoring, and incident response.

Requirements - Significant experience designing, building, and operating production data systems or data-intensive services at scale. - Strong Python and SQL engineering skills, with a record of producing tested, maintainable code. - Deep experience with ingestion, large-scale ETL and transformation, data modeling, and workflow orchestration. - Experience defining data interfaces and improving quality, freshness, completeness, and consistency. - Ability to lead ambiguous technical work across teams, communicate decisions, and mentor engineers. - Experience with cloud environments such as AWS, and responsible use of AI that includes critical review, data validation, and protection of sensitive information. - Bachelor’s degree in computer science or a related field, or equivalent practical experience.

Nice to have Experience with infrastructure cost or usage data, budgeting, shared data platforms, dbt, data lineage, hierarchical ownership models, or large cloud-native multi-tenant platforms.

Benefits and work setup The role can be based anywhere in the country and requires in-office collaboration one or two times per month. Relocation assistance is not available. Compensation includes base salary and equity; the listed US base salary range is $177,185–$364,795.