Software Engineer II - Data Platform & Database Systems

Job Description

Build at a scale that changes the problem. Deploy, extend and operate multi-petabyte MPP --- StarRocks, ClickHouse, Trino/Presto, Spark, Druid, Kusto. Go deep into database internals. Work on query execution, vectorized processing, cost-based optimization, and columnar storage formats such as Parquet and Arrow, and understand these engines from the inside out. Work across the stack and across languages. Move between services in Python, Java, and Go and performance-critical native code in C++ --- deep expertise in any single language isn't expected, just a readiness to follow the problem wherever it leads. Engineer the lakehouse on cloud infrastructure working with open table formats (Delta Lake, Iceberg, Hudi, Paimon) and build on cloud services and container orchestration with Kubernetes. Practice AI-native engineering. Use AI-assisted development and agentic tooling as part of the daily workflow, build AI directly in decision-making systems and operations, and help define how the team uses it on real production systems. Own components and partner for impact. Shape architecture, make build-vs-adopt decisions, and own components end to end while partnering with data scientists and product managers on data that shapes decisions for hundreds of millions of Windows users. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years of proven coding and debugging skills in object-oriented languages. C#, C++, Java, or equivalent. Practical experience with Kubernetes, StarRocks, Clickhouse, Kafka, Flink, Trino, real-time/NRT systems, open-source data platforms. Scripting language experience Python and SQL. Experience with cloud platforms and services, such as Azure, etc. Ability to collaborate effectively with teammates and work successfully in a group environment. Data science, experimentation, or model-building adjacent experience. Experience in designing, developing, and shipping code with secure continuous integration and continuous delivery practices (CI/CD). Experience with data streaming, data modeling, data warehousing, and ETL (extract/transform/load).