Data Engineer

Overview

Join Our Team at Wheels Up

 

At Wheels Up, we're proud to be a global leader in on-demand private aviation. As one of the largest companies in the industry and a strategic partner of Delta Air Lines – we are committed to making private air travel safe, reliable, and enjoyable. With a diverse fleet of owned aircraft plus a global network of trusted charter operators, we offer our customers access to the right aircraft for their needs and the ability to fly on their terms.

 

And it doesn’t stop at private flights. Wheels Up also provides freight services, safety and security solutions, and managed services to individuals, businesses, government agencies, and more. Regardless of how, when or where you want to fly, our mission is simple; deliver a premium, personalized aviation experience for every customer.

 

We anticipate closing applications submissions for this role on 06/1/2026 at 12:00 PM ET. If the deadline is extended, we will update this job posting accordingly

 

Location: Chamblee, GA (North Atlanta) / New York, NY / Remote for highly qualified candidates

Responsibilities

Role Overview: What You’ll Be Doing

 

Wheels Up is looking for a versatile Data Engineer to join our growing Data Platform team. In this role, you will design, build, and operate scalable data pipelines that power analytics, reporting, and business insights. You’ll combine hands‑on data engineering with light DevOps and operational responsibilities, working within a modern cloud data platform to deliver scalable, reliable, and governed data solutions that power analytics and business insights.

 

Your Key Responsibilities (Essential Functions)

• Design, build, and maintain scalable, cloud‑native data pipelines using PySpark and Spark SQL
• Develop reliable data ingestion, transformation, and orchestration workflows to support analytics and reporting needs
• Modernize the data platform by migrating legacy SQL logic and stored procedures into distributed, Spark‑based pipelines
• Develop automation and tooling for CI/CD automation, monitoring, alerting, and data quality checks across the data platform
• Support production data operations, including troubleshooting pipeline failures, resolving bugs, and tuning performance
• Manage Databricks operational responsibilities, including workspace configuration, access controls, and permissions
• Collaborate cross-functionally, partnering with analytics, product, and engineering teams to deliver trusted, well‑governed data products
• Contribute to platform standards and best practices around reliability, observability, cost optimization, and data governance

Qualifications

What You Bring to the Table: Education & Certification Requirements

 

We’re looking for someone who has a unique mix of experience, skills, and passion for what we do:

• Bachelor’s (with 4+ years relevant experience) OR Master’s (with 2+ years relevant experience).
• 3+ years of hands‑on experience in data engineering, building and supporting production data pipelines
• Strong proficiency in Python and SQL, with experience writing performance, maintainable code
• Hands‑on experience with distributed data processing frameworks, such as Apache Spark (PySpark, Spark SQL)
• Solid understanding of ETL/ELT design patterns, data modeling, cost optimization, and performance optimization
• Experience working in cloud environments (Azure preferred; AWS or GCP acceptable)
• Familiarity with data lake or lakehouse architecture and modern analytics platforms
• Experience supporting production data systems, including troubleshooting, monitoring, and operational support
• Strong communication skills with the ability to collaborate effectively across technical and non‑technical teams
• High attention to detail, strong data intuition, and a commitment to data quality and reliability
• Comfortable working in a fast‑paced environment with evolving requirements and priorities

The Extras We Value (Preferred Requirements)

 

While not mandatory, here are some additional things that would make you stand out:

• Experience with Databricks and orchestration tools (Workflows, Terraform)
• DevOps familiarity (CI/CD, GitHub Actions, Azure DevOps)
• Databricks, Azure, or cloud certifications a plus
• Python, SQL, Spark,
• Hands on Experience with at least (1) Cloud service, we use Azure here at Wheels Up
• Advanced level skills
• Data Engineer Falin Python
• Data Manipulation
• Computer Science or Engineering Background