Top Hybrid Data Engineer Jobs in NYC

The MDGO Data Governance Technical Data Steward will support enterprise data management tools and integration projects, collaborate with various teams, and provide technical expertise in data governance practices.

Optimizing data architecture within R&D, identifying opportunities for automation, collaborating with stakeholders, researching and recommending automation tools, developing prototypes, integrating automation solutions, providing guidance and support, monitoring performance, staying updated on emerging trends, and identifying opportunities for process improvement and automation.

Snap Inc is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building robust products. The ideal candidate should have a strong understanding of machine learning approaches and algorithms, prioritize duties, and collaborate effectively.

As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. Your responsibilities will include providing technical leadership, collaborating with cross-functional teams, writing high-quality code, analyzing complex technical problems, and driving innovation and improvements. The role requires a Bachelor's degree in Computer Science or a related field, 10+ years of experience in software engineering with 5+ years of experience in Machine Learning, strong proficiency in Pytorch, Tensorflow, and NLP, and excellent problem-solving and communication skills.

Responsible for planning and designing new software and web applications, analyzing and testing new applications, overseeing documentation, training non-technical personnel, tracking performance metrics, and sharing expertise in a fast-paced environment at Comcast.

Director of Data Technology overseeing data architecture related application development, leading teams in designing and developing enterprise-scale APIs, managing distributed teams, providing technical leadership, ensuring service reliability, and developing quality standards and procedures.

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.