Top Senior Level Data Engineer Jobs in NYC, NY
The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features in Iterable's platform. Responsibilities include collaborating with cross-functional teams, developing machine learning pipelines, and evaluating algorithm performance using diverse datasets.
As a Senior Analytics Engineer at CLEAR, you'll design and implement MarTech products, build scalable data systems, develop data pipelines, and work closely with product teams to solve complex problems, all while driving technical innovation and continuous improvement.
As an Applied ML Scientist at PDT, you will develop and enhance statistical methods to improve trading strategies, collaborating with senior researchers and technologists. You will take ownership of research projects, applying software engineering and machine learning skills in a challenging and innovative environment.
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The Data Migration Specialist at Ridgeline will manage end-to-end data implementations for investment management clients, ensuring data integrity and accuracy. Responsibilities include data mapping, transformation, validation, and collaborating with stakeholders to understand data needs. The role also involves troubleshooting data differences and contributing to customer success initiatives while potentially traveling domestically up to 15%.
The Senior Data Engineer will build and maintain data pipelines, models, and applications for cloud platforms, ensuring the processing of billions of messages each month. Responsibilities include creating ETL pipelines, developing data transformation capabilities, and collaborating with engineers, designers, and product managers to enhance the user messaging journey.
As a Senior Data Engineer, you will design and maintain high-quality data infrastructure, develop DBT models, and create scalable data pipelines. Collaborating closely with the Analytics team, you will optimize data operations and manage a secure data warehouse to enhance Flex’s financial products.
The VP of Data Engineering at Axios will lead data engineering, data science, and analytics teams, manage engineering best practices, define the data platform strategy, and foster an inclusive team culture. They will ensure alignment with executive goals, maintain data quality, and support cross-functional teams in achieving company initiatives.
Lead and mentor a team of data engineers, develop scalable data platforms, and maintain ETL pipelines using Python. Optimize SQL queries and use AWS services for data processing, implement containerization with Docker, and ensure compliance with security requirements while collaborating with cross-functional teams.
The Senior Data Engineer role at VideoAmp involves developing production-grade software in Python, building and orchestrating ETL/ELT pipelines, and collaborating on various engineering activities. A strong emphasis is placed on problem-solving and optimizing solutions within modern big data environments, particularly focusing on Snowflake and data privacy methodologies.
The Sr. Global Privacy and Data Protection Counsel at Pendo will oversee the company's global data privacy needs, ensuring compliance with evolving regulations and training legal colleagues on privacy matters. They will also collaborate with various teams to integrate privacy features into products and lead legal activities related to privacy.
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