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Data Engineer

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: Choice Hotels International
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Engineer

Overview

This role is not eligible for sponsorship AND is four days onsite hybrid at our N. Scottsdale office

Choice Hotels has an exciting new opportunity as a Staff Data Engineer in the Sky Touch Technology division
. Sky Touch Technology is an independently operated division of Choice Hotels that provides the most widely used cloud-based (SaaS) hotel property management system. As a key member of our Sky Touch Software Engineering
- Data, you will drive enterprise-wide impact by shaping scalable, reliable data architectures and standards that enable teams to deliver trusted data, accelerate innovation, and support long-term business strategy.

Are you a systems-level data engineer who thinks beyond individual pipelines to shape enterprise-wide data architecture and standards? Do you thrive on influencing technical direction and enabling multiple teams to succeed at scale? The #Skys The Limit when you #Make It Your Choice ! We encourage you to apply today!

Your Responsibilities
  • Define and evolve the long-term data architecture and technical standards across teams and platforms
  • Design and oversee highly scalable, resilient, and cost-efficient data systems using cloud technologies (e.g., AWS)
  • Make principled tradeoffs between AWS-managed services and open technologies (e.g., Spark, Flink, Iceberg) to ensure long-term scalability and maintainability
  • Lead complex, cross-domain data initiatives that span multiple teams, systems, and business functions
  • Serve as a technical authority and escalation point for complex data engineering challenges and architectural decisions
  • Establish best practices for data quality, reliability, observability, security, and governance across the organization
  • Drive alignment on data modeling, batch and real-time integration patterns, and platform usage to reduce duplication and technical debt
  • Partner with engineering, analytics, and business leaders to translate strategic goals into technical data solutions
  • Mentor senior engineers and influence technical growth through design reviews, architecture forums, and technical guidance
  • Use an AI-first approach to mitigate systemic risks, improve engineering productivity focusing on automation and operational efficiency
  • Balance near-term delivery with long-term platform health, scalability, and sustainability
  • Bachelor's degree in related fields (Computer Science, Information Systems, Computer Engineering) or equivalent experience
  • Minimum of 8+ years of experience in data engineering, software engineering, or platform engineering roles
  • Proven experience designing and evolving large-scale, cloud-based data platforms in AWS
  • Experience leading cross-team, multi-system data initiatives with long-term architectural impact
  • Demonstrated ownership of mission-critical production data systems
  • Experience influencing technical direction across teams without direct people management
  • Expert-level knowledge of cloud data architectures and AWS data services
  • Advanced data modeling and data warehousing design expertise
  • Acts as a trusted technical authority, guiding architectural decisions, mentoring senior engineers, and influencing outcomes across teams
  • Strong programming skills (Python, SQL, and/or Spark)
  • Deep understanding of distributed systems, performance tuning, and scalability
  • Infrastructure-as-code, CI/CD, and automation expertise
  • Ability to design scalable, fault-tolerant, and cost-efficient data architectures
  • Strong understanding of distributed systems, data partitioning, and performance tuning
  • Expertise in data quality, observability, and reliability practices
  • Knowledge of data governance, security, and compliance best practices
  • Strong debugging and root-cause analysis skills across data pipelines and cloud infrastructure
  • Designing for reliability, observability, fault tolerance, and cost efficiency at scale
  • Implementing organization-wide standards for data quality, security, and governance
  • Identifying and reducing technical debt across data platforms
  • Experience applying AI/GenAI in production to engineering workflows, automation, data quality, or developer productivity
  • Demonstrates key competencies to include managing complexity, valuing differences, and cultivating innovation
Your Team

This is an individual contributor role that will report to the Manager of Software Engineering
- Data

. You will have 14 peers and collaborate with cross functional departments on a regular basis.

This role is not eligible for sponsorship

Benefits and About Choice

Choice prioritizes our associate wellbeing by offering a comprehensive benefits program that is both competitive and flexible to help you achieve your wellbeing goals - here are just a few:

  • Competitive compensation and benefits, including medical, dental, and vision coverage
  • Leave and paid time-off for holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious observance
  • Financial benefits for retirement and health savings
  • Employee recognition programs
  • Discounts at Choice hotels worldwide
About Choice

Choice…

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