Job duties Write and debug parts of our cloud database system which incorporates client code web-based code the service layers and the database engine. Debug memory and performance issues in C Java and Python. Examine use cases of customers understanding their internal data stack and translating those into requirements. Design the ergonomics of our SQL interface. Implement the infrastructure for our internal analytics systems. Implement data ingestion code. Model the data we ingest for ease of analysis. Create operational metrics and the data pipelines that feed them. Conduct statistical tests to determine user behavior. Test various third-party clients and systems with our database. Editing documentation of the product so its technically accurate. Improve our build and release systems for better automation. Create test cases that stress parts of the code base. Help prioritize future technical priorities by acting as a proxy customer. Benchmark and compare leading database products. May supervise software engineers. Travel required 10% of the time to domestic and international locations. Ability to telecommute as and Experience required Masters degree in Computer Science or closely related and 8 years of software engineering in data processing systems experienceBackground 1) 8 years of experience setting up and maintaining at least 2 production analytical database systems of the following: Redshift Vertica Bigquery Snowflake. 2) 8 years of experience evaluating competing analytic database products with regard to performance benchmarking architecture choices product maturity and feature set. 3) Deep knowledge of analytic database internals: processing paradigm storage formats and optimization strategies. 4) 8 years of experience as a technical leader for data engineering teams: setting and maintaining hiring standards mentorship long term technical planning and task prioritization.5) 8 years of experience choosing vendors and libraries for business intelligence data transformation ETL scheduling and observability: e.g. Airflow Looker metabase Tableau dbt. 6) 8 years of experience in optimizing SQL queries for performance and robustness. 7) 5 years of experience creating data quality standards and operational alerting. 8) 5 years of experience supporting analytic teams with base models for product and financial analysis. 9) 5 years of experience diving into source code behind Python C and Java open source libraries. 10) 2 years of experience with Hadoop or Spark that demonstrates a fundamental knowledge (fault tolerance skew and I/O) of distributed database systems. 11) 5 years of experience with systems performance profiling using industry standard Linux tools. 12) 5 years of experience deploying and managing Kubernetes infrastructure. 13) 8 years of experience in general software engineering practice: testing deployment continuous integration secret management observability. 14) 2 years of experience doing data science in support of product decisions customer acquisition and retention (experimental design statistical robustness and deriving insights) using open source libraries (such as pandas statsmodels scikit-learn matplotlib xgboost).15) Ability to explain technical concepts to technical and non-technical New York NYRate of pay $196190 - $216300 per yearHow to apply Email resume to w/ job ref #SSWE-NU in subject line.