Top Hybrid Data Engineer Jobs in New York City, NY

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.

Lead the Global Procurement Data & Analytics organization, define data strategies, drive efficiencies through AI, manage D&A activities for Digital Transformation, support continuous improvement projects, and drive automation using AI.

iCapital is seeking a Master Data Management Assistant Vice President to manage alternative investment funds and information into the iCapital platform, ensuring data quality and integrity. Responsibilities include reviewing legal terms from fund-related documents, engaging with business teams, and executing quality assurance reviews. Qualifications include strong communication skills, detail orientation, and 2-4 years of experience in contract law. The base salary range for this role is $145,000 to $180,000, with additional benefits and equity options available for full-time employees.

As a Lead Machine Learning Engineer at Personio, you will provide technical leadership, design and deploy scalable ML algorithms, mentor junior engineers, and shape the Machine Learning landscape within the organization. This hybrid role is based in New York City.

Managed Data Services Associate at Canoe Intelligence working closely with teams and clients to deliver high-quality services and drive value for complex clients. Responsibilities include creating custom client reports, managing projects, and collaborating with global teams. Requires 4+ years of experience with large data sets, client-facing roles, and proficiency in programming languages like Python and SQL.

Design and implement data pipelines, optimize data infrastructure, monitor pipeline performance, stay updated on data engineering technologies, and collaborate with multiple teams for analytics and reporting data needs at Peloton.

Join Brigit as a Data Analyst in the Compliance Team. Responsibilities include designing data collection efforts, building compliance testing, creating reporting dashboards, and conducting insightful analysis using internal and external data. Requires 2+ years of data analytics experience, advanced proficiency in SQL, and experience with Python.