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Data Engineer Sponsorship Jobs in Arizona (NOW HIRING)

Data Engineer II

Tempe, AZ

$109K - $131K/yr

Limited immigration sponsorship may be available. * Ability to travel 10%, on average, based on the ... As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ...

Sr Databricks Data Engineer

Tempe, AZ

$109K - $131K/yr

Limited immigration sponsorship may be available. Preferred: Master's degree in Computer Science ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

About the role Data Engineer with hands-on Palantir Foundry experience to design, build, and ... Not eligible for visa sponsorship or transfer. What you'll do: * Build scalable Foundry pipelines ...

Posted today

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ Top Skills' Details 1. 3+ years of experience in Data Engineering including hands on experience ...

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN Chandler, AZ Top Skills' Details 1. 3+ years of experience in Data Engineering including hands on experience ...

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ Top Skills' Details 1. 3+ years of experience in Data Engineering including hands on experience ...

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN Chandler, AZ Top Skills' Details 1. 3+ years of experience in Data Engineering including hands on experience ...

Data Governance- Manager

Phoenix, AZ ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the ...

Must be legally authorized to work in the United States without the need for employer sponsorship ... Validating data systems, network architecture, and security protocols; and conducting intelligence ...

Must be legally authorized to work in the United States without the need for employer sponsorship ... Validating data systems, network architecture, and security protocols; and conducting intelligence ...

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Showing results 1-20

Data Engineer Sponsorship information

What is a data engineer sponsorship?

A Data Engineer Sponsorship refers to a job opportunity where an employer is willing to sponsor a work visa for a data engineering candidate, often for international professionals seeking to work in a new country. Data engineers in these roles design, build, and maintain data systems, pipelines, and architectures that enable companies to store, process, and analyze large volumes of data. Sponsorship can include assistance with visa applications, legal paperwork, and sometimes relocation support. These positions are common in countries with high demand for tech talent, such as the United States, United Kingdom, and Canada. Employers seek skilled data engineers who are proficient in programming, data warehousing, and big data technologies.

How does a data engineer working in a sponsorship-focused role typically collaborate with marketing and business development teams?

Data Engineers in sponsorship-driven environments often work closely with marketing and business development teams to design and maintain data pipelines that track sponsorship performance and audience engagement. This collaboration involves translating business requirements into technical solutions, ensuring data quality, and providing insights that help optimize sponsorship strategies. You can expect to participate in cross-functional meetings, support campaign analytics, and contribute to dashboards and reports that inform decision-making. Effective communication and a strong understanding of both data infrastructure and business goals are crucial for success in this role.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a solid background in computer science, proficiency in programming languages like Python or Java, and expertise in database management, often supported by a degree in a related field. Experience with big data tools (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Cloud Professional Data Engineer are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers excel in collaborating with cross-functional teams. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and enabling data-driven decision-making in organizations.

What is the difference between Data Engineer Sponsorship vs Data Scientist Sponsorship?

AspectData Engineer SponsorshipData Scientist Sponsorship
Required CredentialsBachelor's or higher in CS, Engineering, or related fields; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentData pipelines, ETL processes, cloud platformsStatistical analysis, model development, data visualization
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

Both roles often require similar educational backgrounds and certifications, and they frequently work within the same industries. The main difference lies in their focus: Data Engineers build and maintain data infrastructure, while Data Scientists analyze data to generate insights. Sponsorship opportunities are common for both roles, especially for international candidates seeking work visas.

What job categories do people searching Data Engineer Sponsorship jobs in Arizona look for?

The top searched job categories for Data Engineer Sponsorship jobs in Arizona are:

What cities in Arizona are hiring for Data Engineer Sponsorship jobs?

Cities in Arizona with the most Data Engineer Sponsorship job openings:

Infographic showing various Data Engineer Sponsorship job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Staff Data Engineer

Choice Hotels International, Inc.

Scottsdale, AZ โ€ข On-site

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

** 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
Welcome and Respect Everyone | Be Bold | Be Quick | Listen | Be Curious | Show Integrity
Choice's Leadership Principles
Act with Intention | Lead with Authenticity | Grow & Deliver