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Top Senior Level Data Engineer Jobs in NYC, NY
Artificial Intelligence • Fintech • Healthtech • HR Tech • Insurance
The Staff Data Engineer will lead the design and implementation of scalable data systems and pipelines at Nayya, focusing on data extraction, integration services, and developing centralized data strategies. Responsibilities include enhancing data infrastructure, building APIs, collaborating with cross-functional teams, and mentoring engineers while ensuring security and scalability.
Top Skills:
PysparkPythonSQL
Information Technology • Marketing Tech • Software
As a Senior Machine Learning Engineer, you will lead data projects to develop and enhance machine learning products, integrate AI technologies, evaluate algorithms, and maintain ML pipelines. You’ll mentor junior engineers and collaborate with cross-functional teams to drive company-wide policies in AI applications.
Top Skills:
AIDeep LearningMachine LearningNatural Language ProcessingPythonScala
Big Data • Fintech • Machine Learning • Software • Business Intelligence
As a Senior Machine Learning Engineer at Enigma, you will build and improve machine learning systems and infrastructure, focusing on enhancing entity resolution algorithms and predicting small business behavior. You will collaborate with cross-functional teams and ensure the performance, testability, and reliability of ML systems.
Top Skills:
Machine LearningPysparkSpark
Featured Jobs
Big Data • Consumer Web • eCommerce • Marketing Tech
As the Director of Data Engineering and Analytics, you will lead and scale the data team, manage infrastructure and engineering efforts, and ensure data quality. The role involves designing data architectures, managing a team, and delivering data-driven solutions while collaborating with various teams across the organization.
Top Skills:
PythonSQL
Internet of Things • Mobile • Other • Software
As an Analytics Engineer at US Mobile, you'll design and refine data pipelines, create impactful reports and dashboards, and collaborate with teams to drive data-driven decisions. Your role will involve expertise in data modeling, automation, and best practices in analytics engineering.
Top Skills:
PythonSQL
Fintech • Payments • Software
As the Business Intelligence and Data Analytics Manager, you will lead the development and execution of Rho's BI strategy, oversee a team of analysts, collaborate across departments to provide data insights, automate reporting processes, and advocate for data governance, all while driving operational efficiency and enhancing customer satisfaction.
Top Skills:
PythonRSQL
Financial Services
The Senior Data Engineer on the Proprietary Research team will design and build data pipelines and tools to support investment professionals. The role focuses on developing cloud-based infrastructure and processing large data sets for insights generation. The engineer will lead technical efforts, collaborate with cross-functional teams, and evaluate new technologies for data handling.
Top Skills:
PythonSpark
Artificial Intelligence • eCommerce • Machine Learning • Marketing Tech • Software
The Principal Analytics Engineer at Bluecore is responsible for driving business outcomes through the development and management of data infrastructure, overseeing analytics data transformation, and mentoring a high-performing analytics team. The role includes defining the long-term data strategy, leading complex projects, ensuring data quality and integration of new technologies, and fostering collaboration across teams.
Top Skills:
PythonSQL
eCommerce • Healthtech
The Senior Data Engineer will design and develop robust data architectures and pipelines to support data processing and storage. Responsibilities include optimizing data engineering systems, collaborating with cross-functional teams to meet data requirements, implementing data quality audits, and creating scalable reports to facilitate data-driven decision making.
Top Skills:
PythonScalaSQL
Software
The Senior Data Migration Consultant leads end-to-end data migration projects for investment management firms, ensuring accuracy, integrity, and compliance with client needs. Responsibilities include collaborating with clients to gather requirements, performing data mapping and cleansing, troubleshooting discrepancies, coordinating with project managers, and contributing to customer success initiatives.
Top Skills:
SQL
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