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 Monday, 03/30/2026 at 12:00 PM (Noon) ET. If the deadline is extended, we will update this job posting accordingly. Location: Remote, US Based Only Responsibilities The Data Modeler, Business Intelligence Data Analytics, supports the leadership in designing, building, and maintaining our business intelligence ecosystem. The Data Modeler ensures data is accurate, reliable, and actionable, creating dashboards and reports that help business teams make informed decisions. This position requires strong technical skills in data modeling, ETL, and BI tools, combined with the ability to translate business requirements into clear insights. Your Key Responsibilities (Essential Functions) - Design, build, and maintain data models, ETL/ELT pipelines, and data warehouses under the guidance of the Sr. Data Modeler - Build and maintain dashboards and visual reports in Tableau, Power BI, or similar tools for business stakeholders - Ensure data quality, governance, and alignment to defined KPIs and organizational metric standards - Partner with business teams to translate requirements into actionable insights - Assist in BI tool administration (access, performance, monitoring) and ensure system reliability - Support initiatives to optimize and scale BI solutions across the organization 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 degree in computer science, engineering, or related field (advanced degree preferred) - 5+ years of experience in data modeling, ETL development, and BI solutions - Proficiency in SQL and Python in production environments - Hands-on experience with BI tools such as Power BI, or Looker - Familiarity with Azure ecosystem and exposure to Databricks - Experience working with databases and data warehouses (Snowflake, Redshift, Big Query, Synapse) - Ability to work with business stakeholders to understand and translate requirements. - Strong communication and collaboration skills The Extras We Value (Preferred Requirements) While not mandatory, here are some additional things that would make you stand out: - Exposure to other cloud platforms (AWS, GCP) and big data frameworks (Spark, Hadoop, Data Lake) - Familiarity with data governance, quality, and metadata management practices - Experience with advanced analytics or predictive modeling - Knowledge of agile methodologies and cross-functional team collaboration - Experience supporting scalable dashboards and automated ETL workflows 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 of time while working at a computer - Regular use of hands and fingers to operate a computer keyboard, mouse, and other office equipment - Ability to view and interpret data on a computer screen for prolonged periods - Ability to communicate effectively verbally and in writing - Occasional standing, walking, bending, or reaching in an office environment - Ability to lift and move up to 10 pounds occasionally (e.g., laptop or office materials) - Ability to work in a standard office or remote work environment - Ability to perform job duties with or without reasonable accommodation What We Offer What We Offer: Salary Range & Benefits At Wheels Up, we believe in fair compensation based on experience, skills, and qualifications. The salary for this role ranges from $95,000 to $145,000, 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!

This is a remote position. Job Title: Snowflake Informatica Engineer Work Type: Remote Employment Type: Contract (C2C) Duration: 4+ Months Contract (Possible Extension) Visa: USC / GC / GC EAD only Job Description: We are looking for a Senior Snowflake Informatica Engineer with strong hands-on experience in Informatica PowerCenter, Informatica Cloud (IICS), and Snowflake. This role focuses on migrating legacy ETL pipelines to cloud-based solutions on Azure and optimizing Snowflake data warehouse performance. The ideal candidate is a hands-on individual contributor with expertise in data migration, metadata management, and performance tuning, capable of working independently in a fast-paced Agile environment. Key Responsibilities: - Migrate Informatica PowerCenter ETL workflows to Informatica Cloud (IICS) on Azure - Redesign and optimize ETL/ELT pipelines for cloud scalability and performance - Perform end-to-end development, testing, and validation of migrated data pipelines - Analyze and clean up Snowflake metadata and unused objects - Optimize Snowflake performance and cost using metadata (ACCOUNT_USAGE, INFORMATION_SCHEMA) - Monitor and fine-tune query performance and warehouse utilization - Collaborate with architects, operations, and cross-functional teams - Support deployment planning and ensure smooth handoff to support teams - Prepare technical documentation and knowledge transfer artifacts Required Skills: - 10–12+ years of overall IT experience - 5+ years of experience in Informatica PowerCenter (ETL development) - Hands-on experience with Informatica Cloud (IICS/IDMC) migration - Strong expertise in Snowflake (SnowSQL, metadata, performance tuning) - Experience with Snowflake metadata analysis and optimization - Strong SQL and data modeling skills (ETL/ELT concepts) - Experience with Azure cloud platform (preferred but highly desired) - Strong communication skills and ability to work as an individual contributor Preferred Skills: - Experience with Azure Data Factory / Azure Data Lake - Familiarity with DevOps, CI/CD, and Git - Experience with Power BI or other BI tools - Agile/Scrum experience - Snowflake Certification (SnowPro Core) - Experience working with distributed/global teams

• Lead the architecture and evolution of scalable, distributed data pipelines, ensuring high availability and performance at scale • Design and implement robust data models to support reporting and advanced data applications • Build and maintain distributed web scraping systems using tools such as Playwright, Selenium, and BeautifulSoup • Develop systems capable of handling anti-scraping measures, proxy rotation, and high-volume data extraction • Integrate AI and LLMs into engineering workflows for code generation, automation, and optimization • Apply prompt engineering techniques to improve data processing, documentation, and troubleshooting • Identify and implement system and process improvements to optimize performance and efficiency • Manage and scale cloud-based data infrastructure, including data warehouses, object storage, and search systems • Deploy and maintain containerized workloads using Kubernetes • Implement data quality monitoring and governance processes to ensure accuracy and reliability • Mentor junior engineers through code reviews, documentation, and knowledge sharing • Communicate technical concepts clearly and provide business context for engineering decisions

Job Description Summary Join us in building clinical grade data platforms that power meaningful insights across connected devices, diagnostics, and digital health. In this role, you will shape scalable data architecture on AWS that enables secure ingestion, governance, analytics, and responsible AI/ML. Your work will have a direct impact on improving patient outcomes and supporting clinicians, product teams, and partners around the world. We welcome applicants from all backgrounds—especially those historically underrepresented in tech—and encourage candidates who meet most, but not all, of the qualifications to apply. We value curiosity, collaboration, and a growth mindset. Job Description What You’ll Do Data Platform Architecture - Design and evolve cloud‑native data platforms using S3, Lake Formation, Glue (catalog/ETL), Athena, EMR/EKS‑Spark, Redshift (including serverless), and Kinesis/MSK for streaming. - Define lake and lakehouse patterns, real‑time and batch pipelines, and governed self‑service analytics capabilities. Governance & Privacy - Implement PHI tokenization/pseudonymization, fine‑grained access controls (column/row level), Macie discovery, encrypted storage (KMS), and data retention/lineage strategies using Glue and tags. - Apply DLP and other privacy‑preserving controls aligned with HIPAA, GDPR, HITRUST, and FDA/ISO frameworks. Interoperability - Enable data exchange using FHIR, DICOM, HL7, and device telemetry through IoT Core into streaming and lake layers. ML & MLOps - Build governed ML workflows with SageMaker pipelines, model registry, lineage tracking, explainability, and bias reporting. - Support dataset versioning and incorporate human‑in‑the‑loop processes when needed. Self‑Service Data & Data Products - Lead data mesh/product governance, enable Redshift/Athena consumption, support DataZone cataloging and access workflows, and utilize Clean Rooms for privacy‑preserving collaboration. Reliability & Performance - Architect for resiliency across multi‑AZ/multi‑region deployments, including S3 replication, lifecycle management, partitioning/compaction, and cost‑efficient performance tuning. Validation & Auditability - Maintain validation packages for regulated analytics and AI pipelines, including traceable lineage and CFR Part 11 evidence. Required Qualifications This role will need to work out of the central time zone. - 12+ years of experience in data or analytics platforms. - 6+ years leading AWS data architecture at scale. - Deep expertise with S3, Lake Formation, Glue, Athena, EMR, Redshift, Kinesis/MSK, and SageMaker. - Experience governing PHI and regulated ML workflows. Preferred Qualifications - Experience with table formats such as Apache Iceberg, Delta Lake, or Hudi, and ACID‑on‑lake patterns. - Knowledge of CDC ingestion (DMS). - Familiarity with curated imaging pipelines (DICOM) and vector search for clinical text/notes. - FinOps practices for data platforms (tiering, compression, query optimization). What We Offer - A collaborative environment where diverse perspectives are valued. - Opportunities for ongoing learning, mentorship, and professional growth. - Flexibility, autonomy, and support from peers across engineering and product teams. - The chance to build solutions that have a real impact in healthcare. #LI-LRG1 #LI-Onsite #LI-Hybrid #LI-Remote We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $188,000.00-$282,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No Application Deadline: May 29, 2026