Staff Data Engineer

Scottsdale AZ - SkyTouch Technology

Open 5 months, first seen by us 173 days ago

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization: Must already have the right to work** This role is not eligible for sponsorship AND is four days onsite hybrid at our N

What you’ll work on

Full posting

Define long-term data architecture and technical standards across teams
Design scalable, resilient, cost-efficient data systems on AWS
Lead complex data initiatives that span multiple teams and systems
Set best practices for data quality, reliability, security and governance
Mentor senior engineers through design reviews and technical guidance

From the employer’s posting

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)

Lead complex, cross-domain data initiatives that span multiple teams, systems, and business functions

Establish best practices for data quality, reliability, observability, security, and governance across the organization

Mentor senior engineers and influence technical growth through design reviews, architecture forums, and technical guidance

People management: Individual contributor stated — people management source
Your Team This is an individual contributor role that will report to the Manager of Software Engineering - Data. You will have 14 peer teammates and collaborate with cross functional departments on a regular basis. **This role is not eligible for sponsorship**
Read the full posting

Education & alternatives

Your Experience, Skills & Competencies - Bachelor's degree in related field Computer Science, Information Systems, Computer Engineering or equivalent experience - Minimum of 8+ years of experience in data engineering, software engineering, or platform engineering roles.

About Choice Hotels

(NYSE: CHH), is one of the largest lodging franchisors in the world.

In the employer’s words · Read in context

Apply at Choice Hotels

Posting record

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Open 5 monthsWe first saw this posting 173 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: May 15, 2026173 days ago
Recorded sightings: 151
Last seen by us: Nov 4, 2026
Employer says posted: Apr 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 173

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

Choice Hotels is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Iceberg
Spark

Where the posting names them

- 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

- 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.

- 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

- 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

- 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.

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Your next step

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

Who are we looking for?

Choice Hotels has an exciting new opportunity as a Staff Data Engineer in the SkyTouch Technology division. SkyTouch 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 SkyTouch 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 #SkysTheLimit when you #MakeItYourChoice! 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

Your Experience, Skills & Competencies

Bachelor's degree in related field 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 peer teammates and collaborate with cross functional departments on a regular basis.

**This role is not eligible for sponsorship**

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 Hotels International, Inc. (NYSE: CHH), is one of the largest lodging franchisors in the world. With 7,500 hotels in 45+ countries and territories, we offer a range of high-quality lodging options in the upper upscale, upper midscale, midscale, extended stay, and economy segments. We’re the hotel company for those who choose to bet on themselves — the striver, the dreamer, the entrepreneur — because that’s who we are, too.

At Choice, we are united by the simple belief that tomorrow will be even better than today — for associates, our company, and our franchisees. At our worldwide corporate headquarters in North Bethesda, Maryland, at our technology center in Scottsdale, Arizona, and through our associates around the globe, every voice is heard and every idea is listened to, no matter what area of the company they come from. We are united in supporting the entrepreneurial dreams of our thousands of franchise owners, which propels us forward — giving our work at Choice a purpose larger than our business.

Our corporate office locations:

North Bethesda, MD — Located at Pike & Rose, our worldwide headquarters is less than 15 miles from Washington, D.C., one block away from the North Bethesda Metro station, with easy access to I-495, complimentary parking, electronic charging stations, restaurants and retail.

Scottsdale, AZ — Located at the northwest corner of Loop 101, the Scottsdale office is home to our technology, eCommerce and customer service organizations, with easy access to complimentary parking, electronic charging stations, restaurants and retail.

Minneapolis, MN — Select roles are based in our Minneapolis office on Highway 394, near the intersection with Highway 100, only five minutes from downtown.

Field/Remote — Select roles designated as field/remote will require associates to work from a home office, connecting virtually with Choice team members and leadership on Zoom, with possible required travel depending on the role.

Choice’s Cultural Values

Choice’s Leadership Principles

Act with Intention | Lead with Authenticity | Grow & Deliver

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