Manager, Data Engineering & Data Science
$125,000–$140,000 year
On-siteJamaica, New York, United States
Jamaica, New York, United StatesOn-siteFull Time$125,000–$140,000 yearBachelors Degree
Full TimeBachelors Degree
Job Summary
Develop and maintain advanced analytical, statistical, and machine learning models while establishing data quality, validation, and governance standards across all systems. Partner with vendors and internal teams to design, optimize, and document data pipelines, integrations, and analytical workflows that support scalable operations. Conduct deep-dive analysis to identify trends and opportunities, then translate complex findings into practical recommendations for stakeholders at all levels. Define and execute the organization's data roadmap in partnership with business and technology leaders to elevate data maturity. Set up comprehensive documentation for data architecture, business rules, and governance processes while serving as the subject matter expert on the data lake, analytics, and AI.
Required Qualifications
- Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or a related field
- Minimum of 5-8 years of experience in data engineering, data science, business intelligence, analytics, data architecture, or related fields
- Must be able to pass a criminal background check and obtain and maintain federally mandated security clearances required to work at an airport
- Valid Driver's License
- Valid Passport with ability to obtain travel Visa / Travel Authorization as required
- Knowledge of data engineering, data architecture, data warehousing, and data lake principles
- Knowledge of statistical analysis, predictive modeling, machine learning, and data visualization techniques
- Understanding of data integration, ETL/ELT processes, data transformation methodologies, and data pipeline design
- Knowledge of data governance, data quality management, metadata management, and master data concepts
- Understanding of cloud-based data platforms, analytics ecosystems, and modern data management practices
- Experience and understanding of a wide variety of analytical processes, tools, and approaches
- Advanced proficiency in SQL and experience working with large datasets and data lake environments
- Proficiency in Python, R, Alteryx, or similar programming languages for data engineering, analytics, and machine learning applications
- Experience designing, implementing, and supporting ETL/ELT pipelines and data integration solutions
- Experience with data warehouse, data lake, and data modeling concepts
- Experience working with third-party vendors, software providers, and implementation partners to develop and maintain enterprise data solutions
- Experience with machine learning frameworks and libraries
- Experience with Power BI and Data Analysis Expressions (DAX)
- Understanding of data governance standards
- Strong project management, vendor management, and stakeholder engagement skills
- Active listening skills with the ability to understand business needs and translate them into technical solutions
- Strong time management, organizational, and prioritization skills
- Sound judgment and decision-making skills, balancing operational, technical, and business considerations
- Experience structuring and delivering presentations and communications targeted to company leadership and stakeholders
- Ability to work independently and efficiently, often without direct supervision
- Ability to quickly learn potentially unfamiliar topics
- Excellent verbal and communication skills
- Comprehend oral information: Listen to and understand information and ideas presented through spoken words and sentences
- Speak: Communicate information and ideas in speaking so others will understand
- Comprehend written information: Read and understand information and ideas presented in writing
- Write: Communicate information and ideas in writing so others will understand
- Recognize problems: Tell when something is wrong or is likely to go wrong
- Reason to solve problems: Apply general rules to specific problems to produce answers that make sense
- Make sense of information: Quickly make sense of, combine, and organize information into meaningful patterns
- Ability to lift and/or move more than 25 pounds
- Ability to perform pulling, pushing, standing, sitting, stooping, walking, crouching, kneeling, and jumping
- Ability to travel from floor to floor and in varying outdoor weather conditions
- Ability to feel, hear, and see (close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus)
Desired Qualifications
- Master's degree
- Experience with Microsoft Azure data services, Fabric, Azure SQL, Synapse, Data Factory, or equivalent cloud data platforms
- Aviation industry experience
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