Data Engineer

Position: Data Engineer Something is being built at CIRCLE. Not just a platform. Not just a product. An infrastructure layer for women's economic participation — one that runs on trust, data, and the belief that the most important decisions get made when the right information reaches the right hands. CIRCLE 2.0 is that infrastructure. We are looking for a Data Engineer to join our Platform team. Not someone who runs reports. Someone who reads signals — and understands that behind every SQL query is a woman whose behaviour, capability, and economic identity we are trying to understand and serve better. What you will do: ·    ·    ·    Own and build data pipelines and reporting systems using SQL and Google BigQuery Maintain and improve integrations across APIs, webhooks, Turn, and automated workflows Work with Turn's (Turn.io) DSL-based logic and AI-enabled systems to strengthen data capture and platform intelligence ·    ·    Ensure data quality, reliability, and consistency across all systems Translate raw data into clear insights that inform product, operations, commerce, and supply chain decisions What we’re looking for ·    ·    ·    1-2 years in data engineering, analytics engineering, or platform operations Strong SQL skills and hands-on experience with Google BigQuery Comfortable with Python, ETL/ELT processes Workflow Orchestration tools such as Apache Airflow, APIs, webhooks, and data systems ·    Experience in building and maintaining Data Warehouses, reporting and analytics mechanisms ·    Familiarity with Turn, DSL-based systems, and AI-powered workflows is a strong plus More than the technical stack, we want someone curious, ambitious, and uncomfortable with the status quo. Someone who sees patterns where others see noise — and understands that data is ultimately about people, journeys, and outcomes. We are not hiring for a task. We are hiring for a stake. This is a founding-team seat. CIRCLE is entering its next phase of growth — expanding beyond borders — and the systems you build today will shape decisions for years to come. If building data infrastructure for impact excites you more than maintaining reports, we'd love to hear from you. Tell us what you have built, what you have learned, and why data matters to you.