Top Senior Level Data Engineer Jobs in NYC

Seeking a Senior Data Engineer with 5+ years of experience in Data Engineering, proficient in SQL and Python, experienced in building ETL/ELT pipelines on big data platforms, and familiar with technologies such as Snowflake and Spark. Must have a strong problem-solving ability and an understanding of ad-tech terms and secure architectures.

The Director, Data Science will be responsible for executing advanced analytic techniques, creating causal inferences, predictions, and recommendations for improvements, managing projects, and working with cross-functional stakeholders.

Enforcing data policies, developing ETL/ELT jobs, identifying data integrity issues, training analysts, maintaining databases, and collaborating with data teams at ServiceNow.

Lead the data and analytics engineering team at The Farmer's Dog, driving innovation and industry-changing disruptions in the pet health service industry. Use data-driven decision-making and problem-focused development to improve the lives of pets and pet owners. Work in a small team with a big vision to bring peace of mind and health to customers and their companions.

Join our Cybersecurity, Privacy, and Forensics team to solve critical business and data protection challenges. Drive strategic programs, data analytics, innovation, and cyber resilience. Help clients implement effective data protection programs and mitigate risk through data security strategies and technologies. Coaching and leadership responsibilities as a Manager.

Fandango is seeking a Senior Data Engineer to contribute to designing, building, and scaling data pipelines critical to the business. Responsibilities include collaborating with teams, troubleshooting production issues, and mentoring team members. Qualifications include a degree in Computer Science or related field, 9+ years of data engineering experience, and expertise in Python, Java, Scala, and SQL.

Seeking a Senior Machine Learning Engineer to lead a team in building, scaling, and launching AI and Data products. Responsibilities include strategic planning, developing ML/AI products, implementing innovative ML algorithms, and ensuring data privacy compliance. Must have a Master's or PhD in relevant field, 5+ years of ML model deployment experience, and 3+ years of people management experience.