Data Engineer (Java, Python, SQL)

Job description

We are looking for a skilled Data Engineer to design, build, and operate scalable data pipelines that power real-time processing and analytics. You will work on high-throughput data systems, ensuring reliability, performance, and maintainability across the data lifecycle — from ingestion
to storage and search.

This role requires strong experience in distributed systems, stream processing, and cloud-native data infrastructure.

Key Responsibilities

• Design and implement real-time and batch data pipelines
• Build and maintain scalable streaming systems
• Develop and optimize stream processing jobs
• Ensure reliable ingestion from multiple internal and external data sources
• Design event schemas and data contracts
• Implement data validation, transformation, and enrichment logic
• Optimize storage layouts and lifecycle management strategies
• Improve system observability (metrics, logging, alerting)
• Troubleshoot and resolve performance bottlenecks in distributed systems
• Implement retry, dead-letter, and replay mechanisms
• Ensure data quality, consistency, and governance
• Collaborate with Backend, DevOps, and Security teams

Your skills and experience

Must-Have

• Proficiency in Java, Python, and SQL; strong software engineering fundamentals
• Experience with distributed messaging systems (e.g., Apache Kafka) and stream processing frameworks (e.g., Apache Flink)
• Knowledge of event-time processing, windowing, state management, and handling out-of-order events
• Experience with cloud storage/data lakes, relational databases, and search/indexing engines (e.g., OpenSearch / Elasticsearch)
• Familiarity with cloud platforms (AWS preferred), IaC (Terraform), CI/CD, and containerization (Docker)
• Strong problem-solving skills and ability to design scalable, fault-tolerant data pipelines

Nice-to-Have

• Experience with workflow orchestration platforms
• Experience in security, log processing, or observability domains
• Schema management tools (Avro, Protobuf, Schema Registry)
• Data lake table formats (Iceberg, Hudi, Delta Lake)
• Experience with distributed query engines (Athena, Trino, Presto)
• Multi-tenant system design
• Cost optimization in large-scale cloud environments

Soft Skills

• Strong problem-solving and debugging skills in distributed systems
• Ownership mindset with attention to reliability and quality
• Clear communication and documentation skills
• Ability to work cross-functionally
• Comfort working in fast-paced environments

Qualifications

• Bachelor’s degree in Computer Science or equivalent experience.
• 7+ years of experience in data engineering or distributed systems
• Strong fundamentals in system design and scalability
• Proven experience operating production-grade data platforms
• Ability to balance performance, cost, and reliability

Why you'll love working here

• Opportunity to build AI agent systems for two products simultaneously — offensive and defensive security — a rare engineering challenge 
• Direct influence on product architecture and AI strategy from day one 
• Work with a team that understands both security and AI deeply 
• Competitive compensation