Data Engineer

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.

Qualifications

• 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.
• 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.