Top Hybrid Data Engineer Jobs in NYC
Use machine learning to generate insights about the operations business, build scalable analytics capabilities, develop production quality code, communicate results to technical and non-technical audiences, collaborate with data scientists and tech partners, mentor junior-level data scientists and data engineers.
The candidate will support implementation and maintenance of the bank's data governance framework, focusing on expanding coverage for risk and operational metrics, alignment to strategic data priorities, and support data control enhancements.
Director of Data Strategy, Management & Solutions leading the Data Program, driving Data Strategy roadmap, overseeing Data Management processes, and fostering a data-driven culture in the Internal Audit department. Responsible for data architecture, data warehousing, AI/ML implementation, and strategic relationships with business leaders.
Senior Analytics Engineer role at Bilt, responsible for building the data foundation to unlock strategic insights, modeling data in dbt, and driving business growth through analytics solutions. Key influencer in growth and strategy at Bilt.
Lead Machine Learning Engineer at GoodRx responsible for developing and implementing analytical capabilities, machine learning models, and data services/products. Must have a Master's degree in relevant fields and 7+ years of experience in building machine learning systems at scale.
Featured Jobs
Lead and grow a team to build state of the art event-driven real-time ML ecosystem, provide technical direction for the ML application and pipeline management team, partner with Product and stakeholders to deliver innovative platform solutions for scalable ML development and deployment, mentor and facilitate individual careers, maintain a culture of innovation, quality, and transparency, work in an Agile environment.
Research, design, and build high-impact machine learning products for customer growth. Contribute to scalable ML systems in production and collaborate with cross-functional teams. Requires 3 years of experience with personalization and familiarity with common ML frameworks like TensorFlow and PyTorch.
Primary liaison for Global Data Management Team implementing cutting-edge Data Orchestration solutions, leveraging PEGA and integrating with S4 systems. Spearheading design, construction, implementation, and adoption phases using agile methodologies. Overcoming obstacles, championing change, and ensuring smooth integration of new processes, methodologies, and tools across the organization.
Lead the design, implementation, and maintenance of the data governance framework. Promote data governance framework and drive adoption across all company divisions. Work with business partners to establish data quality standards and metrics. Build strong partnerships with stakeholders to complete various data projects. Create and maintain a data dictionary for assigned data domain. Monitor compliance and progress of data domain to achieve data governance program goals.
Seeking a Staff Data Engineer to build the next generation of data pipelines and applications using emerging technologies like generative AI and large language models. Responsible for designing, building, and scaling data pipelines and collaborating with internal stakeholders and technologists. Must have expertise in APIs, machine learning services, and data warehousing technologies.
The Data Strategy Solutions Associate Consultant at ZS will work on developing data strategies, optimizing data governance, data sourcing, and portfolio analytics for healthcare clients. This role involves collaborating with internal and client-facing teams, defining capabilities, and assisting in project management responsibilities.
Collect, analyze, and interpret healthcare data to provide insights and support decision-making processes within the clinical practice.
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