Remote (Global) Full-time

Oscilar is hiring a Sr. Data Engineer

About the Role

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.

Work Mode

This is a remote-first position.

Oscilar is an equal opportunity employer.

Required Skills
ClickHousePostgresAthenaKafkaPythonSQLJavaAirflowStep FunctionsPrometheusData EngineeringData InfrastructureETLData ModelingSystem Design
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About company
Oscilar

Oscilar builds the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI.

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Job Details
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Posted 7 months ago