Data Engineer at Wheels Up

Chamblee, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

150000.0

Posted On

25 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, PySpark, Spark SQL, Data Engineering, ETL, ELT, Data Modeling, Cloud Computing, Azure, Databricks, CI/CD, Data Pipelines, Data Governance, Performance Optimization, Distributed Systems

Industry

Airlines and Aviation

Description

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 04/28/2026 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 Physical Requirements We want to make sure you’re fully equipped for success. Here’s a look at any physical requirements needed for this role: Ability to sit for extended periods while working at a computer workstation Ability to use a computer, keyboard, and mouse for prolonged periods of detailed work Sufficient visual acuity to review complex financial statements, tax returns, and supporting documentation Ability to speak and hear clearly for frequent meetings and calls with internal teams and external advisors Ability to occasionally stand, walk, and move between office work areas Ability to lift and carry light office materials (up to approximately 15 pounds) such as files or a laptop Ability to maintain focus and accuracy during long periods of analytical, detail-oriented tasks What We Offer Salary Range & Benefits At Wheels Up, we believe in fair compensation based on experience, skills, and qualifications. The compensation for this role ranges from $140,667.00/Yr. to $150,000/Yr., depending on a variety of factors. We don’t typically start individuals at the top of the salary range; your place within the range is based on what you bring to the table. Additionally, you may be eligible for a discretionary annual incentive program, which rewards individual and organizational performance. ** Applicants must have current and ongoing authorization to work full-time in the United States without the need for present or future visa sponsorship. The Company is unable to provide employment visa sponsorship for this position. ** We also offer a range of benefits designed to support your well-being and personal life, including: Tuition Reimbursement Competitive 401(k) Comprehensive Medical, Dental, and Vision Insurance Complimentary access to mental health and wellness counseling through Spring Health Financial planning assistance A variety of additional programs and services in support of your total well-being Everyone is welcome here Each of us is unique, and that’s what makes us amazing. We believe there’s power in bringing people with different backgrounds, points of view and life experiences together. So, bring yourself and your best ideas. Wheels Up is committed to a policy of equal employment opportunity for applicants and employees. It is our policy to apply recruiting, hiring, training, promotion, compensation and professional development practices and make all other employment decisions without regard to actual or perceived race, color, religion, sex, national origin, age, disability, pregnancy status, genetic information, or any other characteristic protected by federal, state or local laws, regulations or ordinances. Because when we feel safe and comfortable being ourselves, there’s no limit to what we can achieve. Need Accommodations? If you have a disability or are a disabled veteran and need assistance with applying, please reach out to us at hr@wheelsup.com. Simply include “Accommodation Request” in the subject line so we can quickly address your needs. We look forward to learning more about you and how you can contribute to the Wheels Up journey!

Responsibilities

You will design, build, and maintain scalable cloud-native data pipelines using PySpark and Spark SQL to support analytics and reporting. Additionally, you will manage Databricks operations and collaborate with cross-functional teams to deliver governed, high-quality data products.