Senior Data Engineer

Role overview Lead the design and delivery of dependable data systems that bring complex source data together for analytics and business use. The work spans data modeling, cloud warehousing, pipeline orchestration, and production services, with responsibility for setting engineering standards and owning reliability from design through operation. You will work closely with senior partners in Finance and Operations to turn technical choices into practical outcomes.

Responsibilities - Build normalized data models that reconcile heterogeneous source systems into a consistent, trusted source of truth. - Guide architecture and engineering standards for cloud warehouses, orchestration, performance, and pipeline reliability. - Develop and support backend data services, APIs, microservices, and internal tools in Python, using frameworks such as FastAPI or Flask. - Create and optimize transformation workflows with dbt or Dataform, orchestrated through Airflow or Google Cloud Composer. - Establish data quality checks, anomaly detection, observability, and incident response practices. - Explain technical tradeoffs to business leaders and take end-to-end ownership of system performance and data health.

Requirements - At least five years of hands-on data engineering experience, including leadership of architecture or foundational data systems. - Deep experience with cloud data warehouses; BigQuery is preferred, along with advanced SQL. - Strong Python skills and a track record building and operating production APIs or services in cloud environments. - Experience with dbt or Dataform, Airflow or Cloud Composer, and relational and dimensional data modeling. - Strong analytical skills and accountability for reliability, data quality, and performance. - Advanced written and spoken English to communicate technical architecture with U.S.-based teams.

Benefits and work setup - Contractor engagement, fully remote from Latin America, with compensation in U.S. dollars. - Paid time off and holidays, plus assistance with health insurance. - Opportunity to work with U.S.-based teams on modern data platforms; professional learning resources and technical development support are available.