About Haus Haus is the incrementality platform leading brands trust to optimize billions in ad spend worldwide. Using frontier causal inference-based econometric models to run experiments, we help brands measure the business impact of marketing, pricing, and promotions with scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the famous quote “half the money I spend on advertising is wasted; the trouble is I don't know which half” still rings true. Haus helps marketers identify which half, and reallocate it to maximize growth. With a founding team of former product managers, economists, and engineers from Google, Netflix, Meta, and Amazon, we make high-quality decision science, incrementality testing, and causal marketing mix modeling accessible to businesses of all sizes—automating the heavy lifting of experiment design, data processing, and insights generation. Haus works with leading brands like FanDuel, Sonos, and Dr. Squatch, delivering ROI gains as high as 30x. Haus is well-capitalized and backed by top-tier VCs, including Insight Partners, Baseline Ventures, Haystack, and others. We're honored that Haus has once again been recognized by LinkedIn as a 2025 Top Startup! What you'll do: This is a unique opportunity to help us build robust and scalable systems and services that handle data workloads at Haus. The Data Platform includes systems that power the Haus product and are at the heart of what we do. The ideal candidate is somebody who loves working with data, is a great software engineer, and an excellent communicator. You will design, scale, and maintain the systems that support the Haus platform and enable data-driven decision-making at Haus. Responsibilities - Build data solutions on top of Google Cloud Platform (GCP) using Python and other languages as appropriate. - Contribute to the technical direction and development of Haus’ data services, infrastructure and tools. - Create and maintain scalable data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs. - Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary - Create dashboards and reports to support business objectives and enable data-driven decision making - Partner with data scientists, engineers, and product teams to accomplish all of the above! Qualifications - 4-7+ years of experience as a Software Engineer. - Experience building and deploying large-scale distributed systems in Python or Go: it makes you uncomfortable deploying something for end-users without thinking about things like performance metrics, monitors and dashboards, graceful degradation and feature flags. - Experience with cloud infrastructure (Google Cloud, AWS, etc). - Experience building ETL/ELT data pipelines - batch and realtime - Experience working with SQL and NoSQL databases. Bonus points - Earlier stage startup experience. - Experience with data warehouses: Snowflake, BigQuery, RedShift. - Experience with data workflows and tools: dbt, dagster. - Experience with Third party data APIs integrations - Experience with build systems and infrastructure management tooling like Terraform. - BS/MS/PhD in Computer Science, Applied Mathematics or a related field. What we offer We’re a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work — this is a place where high expectations fuel even higher growth. If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we’re probably not the right fit — and that’s okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape. Some of our benefits include: - Flexible PTO - take time when you need it! - Equity – Startup environment with part-ownership in our successes - Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best - WFH stipend to support the set up you need to be productive - Events & Offsites – opportunities to connect and celebrate in real life! - Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) - New Parent Leave – take time to welcome your newest Hausmate We are remote-friendly however candidates based in commutable distance (50 mi?) to SF, Seattle and NYC will be prioritized as we value frequent in-person collaboration opportunities at Haus. Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self — we would love to hear from you.

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