Top Senior Level Data Engineer Jobs in NYC, NY

As a Senior Data Engineer at Axio, you will collaborate with cross-functional teams to build data products, automate data processing through pipelines, lead the deployment of data science models, and architect data infrastructure to support evolving data products.

As a Machine Learning Scientist - Speech AI and NLP, you'll develop and implement sophisticated machine learning models for natural language processing and speech analytics, collaborating across teams to deliver impactful software solutions. You'll design scalable data processing pipelines and ensure high-performance model production while driving business optimization through analytical insights.

As a Data Quality Lead, you will advance the data quality management capabilities for the Fusion platform, working with data product owners and technology teams to ensure effective data controls and enhance customer experience. Responsibilities include managing data quality challenges, training staff, documenting requirements, and facilitating solutions to improve data accuracy and insights.

The Data Governance Lead-Vice President will develop and enhance governance practices, oversee production of governance materials, manage documentation updates, and ensure alignment with regulatory standards. This role involves crafting presentations, establishing partnerships, analyzing stakeholder feedback, and collaborating with cross-functional teams to drive continuous improvement in data governance practices.

The Director of HR Data Strategy and Analytics will build and manage HR operational infrastructure, enhance efficiency, oversee HR data systems, lead HR analytics capabilities, manage global HR vendor relationships, and ensure compliance during country expansions. The role focuses on continuous improvement, collaboration, and data-driven initiatives to enhance employee experience.

As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms and personalization techniques for Disney's streaming services. This role involves collaboration with cross-functional teams to achieve strategic product goals, management of algorithmic work, and maintenance of production-level systems.

The role involves developing and executing partnership strategies with payroll providers and gig platforms to enhance data access for banks and fintechs. Responsibilities include negotiating deals, collaborating with product teams, setting success metrics, and fostering stakeholder relationships to drive business growth.

As a Data Engineer at Canoe Intelligence, you will design and develop scalable data systems, contribute to the growth of the Alts Data Platform, and work closely with AI/ML engineers. Responsibilities include implementing data models and pipelines, collaborating with cross-functional teams, and ensuring operational excellence.

Lead and motivate a team of six data engineers, managing project timelines and deliverables while collaborating with product management to define technical projects. Oversee the design and development of the data platform, mitigate risks, and promote a culture of growth and innovation.

As a Senior Machine Learning Engineer at Canoe Intelligence, you will develop NLP algorithms, train large language models, and work on data preprocessing with cross-functional teams. Your role involves driving innovation in data processing pipelines and mentoring junior engineers.

The Data Engineering Manager will lead the development of core data pipelines, mentor junior engineers, collaborate across disciplines, and ensure user privacy. Responsibilities include task planning, recruitment, and maintaining technical accuracy in the team's work.

The Vice President of Data Intelligence Engineering will drive the execution of quarterly deliverables and long-term strategies while developing a world-class data platform. Responsibilities include ensuring data privacy and security, mentoring engineering teams, and collaborating with cross-functional teams to align strategies with company objectives.