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 04/06/2026. If the deadline is extended, we will update this job posting accordingly Location: Remote 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!

Role Description - Databricks Development - Develop ETL/ELT pipelines using Spark (PySpark/Scala/SQL). - Work with Delta Lake for ACID-compliant data processing. - Build and optimize bronze–silver–gold architecture. - Handle large-scale batch and streaming data. - Data Integration - Ingest data from various sources (API, SQL Server, ADLS, Kafka, Event Hub, Service Bus). - Manage Databricks Jobs, Workflows, and Clusters. - Optimize pipelines for performance and cost. - Data Modeling & Storage - Create and optimize data models for analytics. - Work with Data Lake, Delta Lake, Hive Metastore. - Implement schema evolution, time travel, merge, and CDC. - Reporting & BI - Build dashboards in Power BI / Tableau / Looker. - Write optimized SQL for reporting layers. - Create semantic models, DAX measures, and calculated fields. - Publish reports and handle incremental refresh. - Governance & Quality - Implement CI/CD for Databricks using Git. - Apply data validation, logging, monitoring, and alerting. - Follow security best practices (RBAC, Key Vault, PAT tokens). - Excellent analytical and problem-solving abilities - Understanding of HR processes, compliance requirements, and industry best practices Company Description

• Responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks • Collaborate with client stakeholders, consultants, and cross-functional teams to deliver data platforms that support reporting and analytics • Design and implement data platforms leveraging Microsoft Fabric and Databricks • Build and optimize data ingestion, transformation, and orchestration pipelines • Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products • Partner with analytics and business teams to deliver trusted datasets and dashboards

Who we are: Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About the Role: As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment. This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role. What You'll Do: - Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems. - Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL. - Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled. - Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth. - Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool. - Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business. - Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do. What We're Looking For: - 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role. - Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling). - Hands-on experience with: - Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg. - Data Transformation: dbt - Orchestration & ETL: Airflow, Fivetran, Airbyte - Cloud Platform: AWS - Programming/Ingestion: Python - Infrastructure as Code: Terraform - AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks. - A strong analytical mindset with a proven ability to solve ambiguous business problems with data. - Excellent communication skills and experience working cross-functionally. - Self-starter with the ability to self-project manage work - A user focus with the ability to understand how a data consumer will use the data products you build Bonus Points (Nice-to-Haves) - Experience building semantic models for natural language querying - Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI). - Experience building visualizations and dashboards in tools like Tableau, Retool, or Thoughtspot. Pay Transparency Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits The base compensation range for this role is: $127,000—$175,000 USD Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here. UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.