Senior Data - Software Engineer

Role Summary

Builds high-performance, reliable data systems, including real-time pipelines, tracking, and Feature Store foundations — enabling both analytics and ML production.

Minimum Requirements (Must Have)

● Strong software engineering fundamentals (clean code, testing, system design)

● Proven experience building real-time, low-latency data services

● Experience operating in production at scale (high throughput, distributed systems)

● Strong background with modern data stack (e.g., Kafka/Kinesis, Spark/Flink/Beam,

Snowflake/BigQuery/Redshift)

● Ability to design schemas, ingestion flows, and data quality frameworks

● Experience collaborating with ML teams on feature availability and consistency

Preferred Qualifications (Nice to Have)

● Experience supporting ML systems (feature serving, online/offline consistency)

● Production experience with model inference pipelines

● Strong DevOps experience (Docker, Kubernetes, CI/CD)

● Experience with cloud-native architectures (AWS/GCP)

● Experience implementing data observability / lineage frameworks