Oscilar is hiring a Senior Data Engineer to design, build, and maintain the core data infrastructure that powers our AI-driven decisioning and risk management platform. In this role, you will deliver highly reliable, scalable data pipelines and storage solutions that support real-time analytics and critical machine learning models.

What You'll Do

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.
Design, develop, and optimize distributed data storage solutions for high performance and reliability at scale, serving mission-critical fraud detection and compliance models.
Drive schema evolution, data modeling, and advanced optimizations for analytical and operational databases, including sharding, partitioning, and pipeline orchestration.
Own the end-to-end data flow: integrate multiple internal and external sources, enforce data validation and lineage, and automate and monitor workflow reliability.
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 by identifying opportunities and implementing 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.

What We're Looking For

5+ years in data engineering, 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 like Kafka; proven experience with both batch and streaming pipeline design.
Advanced programming in Python and SQL, with expertise in workflow orchestration (Airflow, Step Functions), CI/CD, and automated testing for data.
Experience in high-scale, low-latency environments and an understanding of security, privacy, and compliance requirements for financial-grade platforms.
Strong communication, business alignment, and documentation abilities, capable of translating complex technology 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.

Nice to Have

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 like Prometheus, Grafana, or Kafka Manager.
Experience automating infrastructure with tools like Terraform or CloudFormation.
Proficiency with Postgres, Redis, ClickHouse, and DynamoDB, including data modeling, query optimization, and high-transaction databases.
Familiarity with encryption, role-based access control, and secure API development.

Technical Stack

Databases: ClickHouse, Postgres, Athena, Redis, DynamoDB
Streaming: Kafka
Languages: Python, SQL, Java
Orchestration & Infrastructure: Airflow, Step Functions, Terraform, CloudFormation
Monitoring: Prometheus, Grafana, Kafka Manager

Team & Environment

You will work alongside industry veterans from Meta, Uber, Citi, and Confluent and collaborate cross-functionally with engineers, product managers, and data scientists.