Oscilar is building an AI Risk Decisioning™ Platform to help banks, fintechs, and digitally native organizations manage fraud, credit, and compliance risk using AI. The Senior Data Engineer will be responsible for the data infrastructure powering this platform.
Requirements
- 5+ years in data engineering (or equivalent), including architecting and operating production ETL/ELT pipelines for real-time, high-volume analytic platforms.
- Deep proficiency with ClickHouse, Postgres, Athena, and distributed data systems (Kafka, cloud-native stores); proven experience with both batch and streaming pipeline design.
- Advanced programming in Python and SQL, with bonus points for Java; expertise in workflow orchestration (Airflow, Step Functions), CI/CD, and automated testing for data.
- Experience in high-scale, low-latency environments; understanding of security, privacy, and compliance requirements for financial-grade platforms.
- Experience integrating Kafka with analytics solutions like ClickHouse.
- Knowledge of event-driven architecture and streaming patterns like CQRS and event sourcing.
- Hands-on experience with monitoring tools (e.g., Prometheus, Grafana, Kafka Manager).
Responsibilities
- Architect and implement scalable ETL and data pipelines spanning ClickHouse, Postgres, Athena, and diverse cloud-native sources to support real-time risk management and advanced analytics for AI-driven decisioning.
- Design, develop, and optimize distributed data storage solutions to ensure both high performance (low latency, high throughput) and reliability at scale—serving mission-critical models for fraud detection and compliance.
- Drive schema evolution, data modeling, and advanced optimizations for analytical and operational databases, including sharding, partitioning, and pipeline orchestration (batch, streaming, CDC frameworks).
- Own the end-to-end data flow: integrate multiple internal and external data sources, enforce data validation and lineage, automate and monitor workflow reliability (CI/CD for data, anomaly detection, etc.).
- Collaborate cross-functionally with engineers, product managers, and data scientists to deliver secure, scalable solutions that enable fast experimentation and robust operationalization of new ML/AI models.
- Champion radical ownership—identify opportunities, propose improvements, and implement innovative technical and process solutions within a fast-moving, remote-first culture.
- Mentor and upskill team members, cultivate a learning environment, and contribute to a collaborative, mission-oriented culture.
Other
- Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.
- We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.
- Your work will shape how modern finance detects fraud and manages risk.
- Strong communication, business alignment, and documentation abilities—capable of translating complex tech into actionable value for customers and stakeholders.
- Alignment with Oscilar’s values: customer obsession, radical ownership, bold vision, efficient growth, and unified teamwork with a culture of trust and excellence.
