Oscilar is revolutionizing trust in the AI era with their advanced AI Risk Decisioning™ Platform. As a Senior Data Engineer, you'll be at the forefront of designing and maintaining the data infrastructure that powers their AI-driven risk management platform. Working alongside industry veterans from Meta, Uber, Citi, and Confluent, you'll have the opportunity to make significant impact in making the digital world safer.
The role demands expertise in building scalable ETL/ELT pipelines and distributed data systems, with a focus on both batch and streaming processing. You'll work with technologies like ClickHouse, Postgres, Athena, and Kafka, ensuring high performance and reliability at scale. The position requires strong programming skills in Python and SQL, with additional value placed on Java experience.
This is an opportunity to shape how modern finance detects fraud and manages risk. You'll be empowered with extreme ownership, working in a fast-paced, remote-first environment. The role combines technical excellence with business impact, requiring someone who can translate complex technical solutions into actionable value for stakeholders.
Key responsibilities include architecting data pipelines, optimizing storage solutions, driving schema evolution, and ensuring end-to-end data flow integrity. You'll collaborate across teams, mentor colleagues, and contribute to a culture of innovation and excellence. The ideal candidate brings 5+ years of data engineering experience, deep technical expertise, and strong communication skills.
The position offers the chance to work on mission-critical systems that directly impact the security and efficiency of financial operations. You'll be part of a team that values customer obsession, radical ownership, bold vision, and efficient growth, all while working remotely with the flexibility to contribute from anywhere in the United States or Canada.