382 results for Data Engineer Jobs in New York, NY, US

Develop data solutions for investment professionals, build tools and automation for data pipelines, work with Product and Portfolio Managers to understand data needs, manage tick data with timeseries databases, and ensure data quality and integrity through robust validation and error handling.

Responsible for architecting and managing production data pipelines in Snowflake, building and optimizing ETL pipelines, ensuring high availability of data assets, and collaborating cross-functionally with various teams. Requires strong knowledge of APIs, data governance frameworks, and experience w...

Develop, test, and maintain data architectures in Snowflake using Python and SQL. Ensure data quality, optimize pipelines, troubleshoot ETL processes, and drive new data collection initiatives. Document technical processes and manage multiple projects concurrently.

Responsible for managing data collection, integration, and transformation activities, performing data mining and ETL processes, developing automated scripts for data refreshes, monitoring data quality, and preparing data for Business Intelligence reports. Collaborates with teams to determine busines...

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills ...

Responsible for working on Data warehouse, ETL, and BI projects. Must be proficient in Python/PySpark, Snowflake database, Oracle database, PL/SQL, and Unix Shell Scripting. Involves implementing complex stored procedures, performance tuning, and troubleshooting. Requires experience with JIRA and ba...

Lead the Health Intelligence team in building scalable data pipelines, implementing algorithms for provider rankings, and defining coding standards. Collaborate with Data Science and Product teams to develop reliable production systems, drive technical strategy, and mentor junior engineers.

Develop and optimize data pipelines for engineering and machine learning applications using Python and SQL. Define data needs, evaluate quality, and extract data in a Big Data environment. Implement changes to data science models for accurate predictions, troubleshoot data issues, and collaborate wi...

Develops and optimizes data pipelines, evaluates data quality, makes changes to data science models, performs data analysis, collaborates with team members for data needs, supports production processes, defines SLAs for datasets, and raises data issues for resolution.

Responsible for developing and maintaining data pipelines, owning data products like recommendation engines, providing insights to stakeholders, and collaborating with the Data Engineering team on data models. Manages external partners for coding standards and oversees data science projects from end...