Data Engineer

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:

• Advance Airport Development
• Transform the Customer Experience
• Optimize Ongoing Business
• Cultivate Our Culture

Here, you’ll find a workplace culture that is anchored in our collective mindsets: collaboration, empathy, inclusivity, thoughtful decision-making, active listening, and always believing the best in people. If you are ready to contribute to a team that values meaningful impact and enjoys the journey along the way, we invite you to apply today and help us connect our community to the world.

Why You'll Love Working at SAN:

• 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 starts at $120,512. 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: November 14, 2025.

About the Job:

The Business Intelligence department is looking for a Data Engineer with a consultative approach to pipeline development and data architecture to support high-impact, enterprise-wide analytics. This role is responsible for designing, building, and maintaining the infrastructure that powers operational insights and long-term planning at San Diego International Airport. As a key contributor within a lean, agile team, the Data Engineer partners directly with stakeholders to understand evolving needs, balance competing priorities, and deliver scalable solutions that meet both technical and strategic goals.

The ideal candidate will have a strong foundation in cloud platforms, SQL and NoSQL databases, ETL/ELT pipelines, and data warehousing concepts. They should be highly adaptable, thrive in fast-moving environments, and feel confident acting as a subject matter expert across departments. A calm, even-keeled presence and the ability to pivot are essential for success in this space.

This is more than just engineering pipelines—it’s enabling the future of air travel in San Diego. You’ll be directly contributing to infrastructure projects, operational insights, and regional mobility strategy at one of the most complex and high-performing single-runway airports in the US.

What You’ll Do:

• 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.