Software Engineering Applications
Core
Build and automate large-scale, high-performance data platforms (batch/streaming) and pipelines to drive rapid business intelligence and data science.
Role type
Senior Data Engineer (Platform & Pipelines)
Builds
Scalable data infrastructure, data products, and critical pipelines for analytics and data science teams.
Domain
Technology / Data Engineering / Generative AI
Deliverable
production ML models
Required skills
Data pipeline development, Spark, Trino, lakehouse architecture, Snowflake, Kubernetes, Docker, TDD, continuous integration, Generative AI, RAG techniques, Model Context Protocol (MCP)
Preferred skills
ETL pipeline development, Big Data Technologies, RAG with LLMs
Responsibilities
Design large-scale complex applications with low-latency and fault-tolerance; build and maintain custom frameworks for engineering/analytics needs; partner with data scientists to solve data problems at scale; deploy inclusive data quality checks; evangelize high-quality software engineering practices.
Seniority
Senior, hands-on IC
