Analytics Engineer, Data Platform
Proper Hospitality
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Benefits offered by this job
Job summary
Proper Hospitality is seeking an Analytics Engineer to join our corporate team in Los Angeles. This full-stack role focuses on data pipelines and foundations, supporting AI-native workflows for our hospitality business.
You will monitor pipelines, build internal tooling, ensure data quality, and partner with analysts and operators to productionize datasets. The role involves on-site/hybrid collaboration at our Santa Monica offices with occasional property visits.
Qualifications
- Strong SQL and deep, hands-on experience with Snowflake, including building and operating pipelines with orchestration.
- Experience building data pipelines and models that others depend on; Python for tooling, automation, and pipeline work.
- Working knowledge of Git and CI/CD, or a willingness to learn quickly.
- A methodical approach to debugging: you reproduce, isolate, and find the root cause.
- Strong fundamentals in coding and systems design that you can demonstrate without AI assistance.
- Clear communication with technical and non-technical stakeholders, and the judgment to manage competing requests.
Responsibilities
- Monitor, triage, and resolve data pipeline bugs and failures, and find root causes rather than patching symptoms
- Manage the intake and prioritization of data issues and requests, and keep stakeholders informed
- Keep data models, tests, and documentation current so the warehouse stays trustworthy
- Spot recurring failure patterns and build monitoring, alerting, and data quality checks to prevent them
- Design and deploy tools and infrastructure that let teams access and work with data in our data hub
- Automate repetitive operational work (backfills, access provisioning, validation, reconciliation)
- Own the deployment and configuration of the supporting services behind these tools
- Make sure data is clean, well-modeled, secure, and documented enough to support AI workflows, data agents, ML, and advanced analytics
- Partner with analysts, data scientists, and operators to productionize datasets, features, and agent-ready data
- Help make AI tools usable and trustworthy for non-technical operators
- Respond to data requests from Finance, Revenue, Marketing, Operations, and property teams
- Translate business questions into the right data answers, and know when something needs a new model rather than a one-off query
- Document institutional knowledge such as data quirks, definitions, and lineage
- Build and maintain reports and dashboards as needed
Skills
Tools
Job description
Proper Hospitality builds and operates a growing collection of luxury lifestyle hotels, restaurants and residences defined by design, culture, wellness and a strong sense of place, across Proper Hotels, By Proper and The Collective.
We're seeking an Analytics Engineer to join our corporate team in Los Angeles. Our warehouse and core raw pipelines are built. Your job is to keep them healthy, make them easy to use, and strengthen the foundation for AI-native work like workflows and data agents. This is an end-to-end, full-stack role focused primarily on data pipelines and foundations, with a front-row lens into how the hospitality industry runs.
- Monitor, triage, and resolve data pipeline bugs and failures, and find root causes rather than patching symptoms
- Manage the intake and prioritization of data issues and requests, and keep stakeholders informed
- Keep data models, tests, and documentation current so the warehouse stays trustworthy
- Spot recurring failure patterns and build monitoring, alerting, and data quality checks to prevent them
- Design and deploy tools and infrastructure that let teams access and work with data in our data hub
- Automate repetitive operational work (backfills, access provisioning,
validation, reconciliation) - Own the deployment and configuration of the supporting services behind
these tools
- Make sure data is clean, well-modeled, secure, and documented enough to support AI workflows, data agents, ML, and advanced analytics
- Partner with analysts, data scientists, and operators to productionize datasets, features, and agent-ready data
- Help make AI tools usable and trustworthy for non-technical operators
- Respond to data requests from Finance, Revenue, Marketing, Operations, and property teams
- Translate business questions into the right data answers, and know when
something needs a new model rather than a one-off query - Document institutional knowledge such as data quirks, definitions, and lineage
- Build and maintain reports and dashboards as needed
The best data work comes from understanding the operations behind the numbers. Expect to:
- Take part in site visits to our properties
- Join training sessions and hands‑on operator learning experiences
- Spend time with the front desk, F&B, events, and revenue teams to see how the systems you support are used day to day
- 3+ years of experience in data engineering, or 5+ years in data science or analytics
- New grads 1-2 years of experience in a data or analytics role) will be considered if they demonstrate extremely strong proficiency, extraordinary tenacity, and genuine humility
- Strong SQL and deep, hands‑on experience with Snowflake, including building and operating pipelines with orchestration (tasks, streams, dynamic tables, or an external orchestrator)
- Experience building data pipelines and models that others depend on
Python (or a comparable language) for tooling, automation, and pipeline work - Working knowledge of Git and CI/CD, or a willingness to learn it quickly
- A methodical approach to debugging: you reproduce, isolate, and find the root cause
- Strong fundamentals in coding and systems design that you can demonstrate without AI assistance
- Clear communication with technical and non‑technical stakeholders, and the judgment to manage competing requests
- Experience with a range of business intelligence and visualization tools (e.g., Tableau, Looker, Sigma, Power BI)
- Experience with our stack:
- Snowflake security and governance: RBAC design, masking policies, row‑level access, and data sharing
- GitHub Actions for orchestration and deployment, alongside native
Snowflake orchestration - Transformation frameworks (e.g., dbt) and ingestion tools
- Python services deployed on a cloud hosting platform, and infrastructure as code
- Hospitality source systems: property management Infor HMS, F&B point of sale Toast, sales CRM, HR, and revenue management
Experience building with LLMs, agents, AI‑powered workflows, or internal data apps - Data modeling and dimensional design, plus testing and observability practices
- First 30 days: Take ownership of the issue queue and stakeholder requests. You learn the stack, visit a property, and become the person teams go to when something looks off.
- First 90 days: Help generate new, value‑additive work: new datasets,
analyses, or interactive data tools that give the business something it didn't have before. - First 6 months: Raise the quality of our data pipelines and make a major
change to our core Snowflake platform to make it more scalable, with
improvements across data security, data modeling, cost management, or
rollout infrastructure.
We want to see how you think, so part of our process is a technical assessment completed without AI assistance. You should be able to work through a systems design discussion and a basic coding exercise on your own. We use AI heavily in our day‑to‑day work and expect you to as well, but strong fundamentals are what let you direct it well and catch it when it's wrong. Beyond that, expect conversations about your past work and how you approach stakeholders and ambiguity.
- In‑person hybrid at our Santa Monica, CA office, 3 days per week
- Occasional travel to our properties for site visits and training
- Compensation: $140,000-160,000, based on experience and skills
- Culture of Growth: A collaborative, design‑forward environment that values creativity, intelligence, and curiosity — where learning and excellence are a daily practice.
- Guided Skills Development: Access to training, leadership programs, mentorship, and cross‑property mobility to encourage achievement and discovery.
- Diversity, Equity, Inclusion & Belonging: We honor individuality while fostering a culture of respect and belonging across all teams.
- Community Engagement: Opportunities to give back through local volunteerism, sustainability, and charitable partnerships.
- Comprehensive Health Coverage: Medical, dental, and vision plans through Aetna, designed to fit a range of personal and family needs.
- Wellness Access: Company‑subsidized memberships with Equinox and ClassPass, plus wellbeing
- workshops and mental health resources.
- Employee Assistance Program (EAP): Confidential support for emotional wellbeing, financial planning,
- and life management through Unum.
- Paid Time Off: Flexible PTO plus 11 paid holidays each year for corporate team members.
- Paid Parental Leave: Paid time off for eligible employees welcoming a new child through birth, adoption, or foster placement.
- Flexible Work Practices: Hybrid schedules for eligible roles and an emphasis on work‑life balance.
- 401(k) Program: Company match of 50% of employee deferrals, up to the first 4% of eligible compensation.
- Employer-Paid Life & Disability Insurance: Core protections with optional additional coverage.
- Financial Education: Access to planning tools and workshops to support long‑term stability and growth.
- Hotel Stay Benefits: 75% off BAR (floor of $100) across the Proper portfolio.
- Design Hotels Partnership: 50% off participating Marriott Design Hotels.
- Dining Discounts: 75% off food & beverage at all Proper Hospitality outlets.
- Lifestyle Perks: Complimentary or subsidized parking, cell phone reimbursement, and exclusive hospitality and retail discounts.
At Proper, we build experiences that move people — and that begins with the team behind them. As a best‑in‑class employer, we’re committed to creating one of the Best Places to Work in hospitality by nurturing a culture where creativity, excellence, and humanity thrive together.
Everything we do is grounded in the belief that hospitality is more than a profession — it’s an opportunity to care for others and make lives better.
Guided by the Pillars of Proper, we show up with warmth and authenticity (Care Proper), strive for excellence in everything we do (Achieve Proper), think creatively and resourcefully (Imagine Proper), and take pride in the style and culture that make us who we are (Present Proper).
We believe our people are our greatest strength, and we invest deeply in their wellbeing, growth, and sense of belonging. From comprehensive benefits to meaningful development programs, Proper is designed to help you build a career, and a life, that feels as inspiring as the experiences we create for our guests.
Our Best Place to Work initiative is a living commitment — a continuous investment in our people, our culture, and our purpose. We listen, learn, and evolve together to create an environment where everyone feels empowered to imagine boldly, achieve confidently, and present themselves authentically.
At Proper, joining the team means more than finding a job — it means joining a community that believes in building beautiful experiences together, for our guests and for one another.
We provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other federal/state protected category.
Proper Hospitality will consider qualified applicants with criminal histories in a manner consistent with local Fair Chance Hiring Ordinances.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.
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