Head of Data Engineering & Analytics

JFK International Air Terminal LLC; New York (NY); On-site; USD 125,000 - 140,000; Full time

Job summary

JFK International Air Terminal LLC is seeking a Manager, Data Engineering & Data Science to lead our data engineering, data quality, analytics, and ML initiatives. You will set standards for data governance, partner with IT and business leaders, and deliver scalable data architectures that drive operational efficiency and enhanced customer experience.

The role requires 5–8 years in data engineering/data science, strong SQL, Python, and cloud skills (Azure), and the ability to translate complex

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or a related field; Master’s degree preferred.
• Minimum 5-8 years of experience in data engineering, data science, analytics, data architecture, or related fields.
• Pass a criminal background check and obtain federally mandated security clearances to work at an airport.
• Valid Driver’s License and passport with ability to travel as required.

Responsibilities

• Develop and maintain advanced analytical, statistical, and ML models to support business objectives.
• Operationalize predictive insights through dashboards, reporting platforms, and decision-support tools.
• Establish and maintain data quality, validation, governance standards, and metrics across systems.
• Conduct deep-dive analyses to identify trends, anomalies, and improvement opportunities.
• Identify new opportunities for data-driven improvements using untapped datasets and methods.
• Collaborate with vendors and internal teams to design and maintain data pipelines and workflows.

Skills

Data engineering

Data science

SQL

Azure data services

Python

ETL/ELT pipelines

Data governance

Power BI

Education

Bachelor's degree in a related field

Master's degree preferred

Tools

Azure Synapse

Data Factory

Azure SQL

Power BI

SQL Server

Job description

JFK International Air Terminal LLC is seeking a Manager, Data Engineering & Data Science to lead our data engineering, data quality, analytics, and ML initiatives. You will set standards for data governance, partner with IT and business leaders, and deliver scalable data architectures that drive operational efficiency and enhanced customer experience.

The role requires 5–8 years in data engineering/data science, strong SQL, Python, and cloud skills (Azure), and the ability to translate complex