2739 Senior Data Engineer jobs in Jersey City,NJ

Sr Software Engineer

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

JLL

Jersey City, NJ 07302

10+ years implementing RCM and CbM/PdM methods with extensive knowledge of mechanical, electrical, plumbing, and fire suppression systems in commercial, manufacturing, laboratory, or distribution facilities
Proven experience operating building automation systems, energy management platforms, and CMMS/EAM systems with strong data analytics and capital planning capabilities
Background in multi-disciplinary projects applying system integration techniques across diverse asset types, with experience implementing Management Systems (ISO9001, ISO55001)
Exceptional ability to analyze incomplete data sets, deliver informed recommendations, and communicate complex technical information through clear written and oral reports
Strong Microsoft Excel proficiency for manipulating large data sets with systematic attention to detail and advanced organizational skills to balance multiple stakeholder requirements
Proven training, coaching, and mentoring abilities using various tools and techniques while interpreting organizational goals into actionable departmental activities
Self-motivated collaborative leader with strong interpersonal skills who embraces change, develops innovative solutions, challenges the status quo, and works effectively without direct supervision
Practical experience developing and optimizing maintenance strategies, lifecycle costing, and total cost of ownership analysis

The Walt Disney Company (Corporate) Careers

New York, NY 10025

Disney Entertainment Television Careers

New York, NY 10025

ESPN Careers

New York, NY 10025

Spectrum

New York, NY 10036

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence
Strong command of the full data science lifecycle in production settings
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field