Data Engineer - Remote

Overview

Welcome to San Diego International Airport, where our core purpose is to create an exceptional experience for both our community and visitors from around the world. It extends beyond just flights; we embody the vibrant spirit of San Diego itself—sunny, welcoming, and full of life. We are committed to attracting, fostering, and empowering a team of talented individuals who can deliver our strategic goals:

In Short

• Location: The new Airport Authority Administration building, located on the San Diego International Airport campus and near the waterfront, providing stunning views of our runway, San Diego Bay, the Pacific Ocean, and the city skyline.
• Hybrid Work Schedule: We offer a flexible hybrid schedule, with an opportunity for remote work based on operational requirements, while supporting both in-office collaboration and remote productivity.
• Salary: The hiring salary for Data Engineer is starting at $108,460. The full pay range for Data Engineer is $92,701-$148,322.
• Benefits: You will enjoy 14 paid holidays, 18 – 33 days of vacation (PTO), parental and child care benefits, salary continuance for family & parental leave, tuition reimbursement, ensure your future with our retirement plan options including our comprehensive pension plan and 457 defined contribution plan. Plus, take advantage of our annual employer-funded Lifestyle Spending Account, designed to support your personal development and growth activities—and much more!
• Wellness: Take advantage of multiple on-site gyms with regular fitness classes, outdoor working areas, fitness discounts for all levels and goals, monthly fruit deliveries, rewards for volunteer time, financial wellness advisors, and a campus with easy access to some of San Diego's best walking trails.
• Application Deadline: July 29, 2025. Applications will be reviewed after the closing date.

Requirements

• Build and Maintain Pipelines: Design and manage ETL/ELT pipelines that collect, process, and store data from various internal and external source systems.
• Develop Scalable Infrastructure: Maintain and optimize databases, data warehouses, and data lakes using tools like SQL, T-SQL, Oracle, MySQL, PostgreSQL, MongoDB, or Snowflake.
• Leverage Modern Platforms: Utilize cloud environments such as AWS, Azure, or Google Cloud, and support BI tools like Tableau, Power BI, as well as data platforms like Snowflake.
• Ensure Data Integrity and Security: Apply data governance, audit controls, and cleansing techniques to ensure accurate, secure, and compliant data assets.
• Collaborate across Teams: Work closely with internal stakeholders to translate business needs into technical solutions—without a dedicated PM, strong communication is key.
• Support Advanced Analytics: Structure and prepare datasets for machine learning and predictive modeling, ensuring data is accessible and reliable for analysis.
• Stay Current with Trends: Monitor and adopt emerging technologies in data engineering, cloud computing, and database management to enhance future-readiness.

Benefits

• Problem Solving & Agility – Quickly analyzes challenges, adapts to shifting priorities, and identifies practical solutions in dynamic environments.
• Critical Thinking – Translates business needs into data requirements with a strategic and analytical mindset.
• Communication & Collaboration – Effectively engages stakeholders across departments, communicates clearly, and builds trusted working relationships.
• Process Knowledge – Understands data workflows and develops frameworks that support efficient implementation and continuous improvement.
• Leveraging Technology – Demonstrated experience working with modern data and cloud technologies, including Tableau, Power BI, AWS, Azure, and both SQL and NoSQL databases. Proficient in managing and optimizing database systems such as Oracle, T-SQL, MySQL, PostgreSQL, and MongoDB. Skilled in ETL/ELT processes and well-versed in data warehousing concepts, including star schema, snowflake schema, and columnar storage architectures.
• Data Quality & Governance – Maintains high standards of data accuracy, consistency, and compliance through rigorous quality controls and security measures.