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Staff Data Engineer Jobs (NOW HIRING)

Staff Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Staff Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As the Staff Data Engineer for Concepts Lab , you will be the technical anchor for everything data in the lab: designing and building the pipelines, reports, and tooling that turn raw signals from ...

Staff Data Engineer

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Staff Data Engineer to serve as the senior technical leader for our data platform. This is a hands-on IC role with outsized influence: you'll own the architecture and reliability ...

Staff Data Engineer

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Staff Data Engineer to serve as the senior technical leader for our data platform. This is a hands-on IC role with outsized influence: you'll own the architecture and reliability ...

New

Staff Data Engineer

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Staff Data Engineer to serve as the senior technical leader for our data platform. This is a hands-on IC role with outsized influence: you'll own the architecture and reliability ...

Reporting to the Director of Data Engineering, the Staff Data Engineer serves as a senior technical leader responsible for shaping, scaling, and governing our modern data ecosystem. This role blends ...

Staff Data Engineer

Los Angeles, CA

$250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We\'re looking for a Staff Data Engineer to serve as the senior technical leader for our data platform. This is a hands-on IC role with outsized influence: you\'ll own the architecture and ...

Staff Data Engineer

Foster City, CA · On-site

$146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile ...

Staff Data Engineer

$170K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role: We're looking for a Staff Data Engineer to join the Data Platform Engineering team at Hims & Hers as a key technical driver for our most critical platform initiatives. Your scope ...

Staff Data Engineer

Foster City, CA · On-site

$146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile ...

The Staff Data Engineer will own the data infrastructure that powers cyber operations applications, building a durable data lake and collaborating with engineers and analysts to ensure data is ...

The Staff Data Engineer will lead the development of data infrastructure, building a high-performance data lake and ensuring operational excellence in data management for cyber applications.

Staff Data Engineer

Santa Clara, CA · On-site +1

$134K - $161K/yr

As a Staff Data Engineer, you will provide technical leadership in the design, development, and evolution of PayNearMe's modern data platform and data products. You will work closely with Product ...

As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and making a direct impact on our mission. We want you to provide technical leadership to your teammates ...

Staff Data Engineer

San Francisco, CA · On-site

$180K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role is ideal for a Staff-level engineer who has seen and built great data platforms, is not afraid of legacy, and thrives in environments where the vision is clear, the systems are evolving ...

Staff Data Engineer

San Francisco, CA · On-site

$180K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role is ideal for a Staff-level engineer who has seen and built great data platforms, is not afraid of legacy, and thrives in environments where the vision is clear, the systems are evolving ...

Staff Data Engineer

San Diego, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Summary The Staff Data Engineer is a seasoned, hands-on engineer who designs, builds, and scales data products on our cloud lakehouse, powering analytics, reporting, and AI/ML across Illumina. We are ...

Staff Data Engineer

Sunnyvale, CA

$134K - $161K/yr

ABOUT THE JOB We are looking for a Staff Data Engineer to help build and develop our analytics, Machine Learning and AI capabilities at RADAR. The role requires extensive collaboration with teams and ...

Staff Data Engineer

San Diego, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Summary The Staff Data Engineer is a seasoned, hands-on engineer who designs, builds, and scales data products on our cloud lakehouse, powering analytics, reporting, and AI/ML across Illumina. We are ...

Showing results 41-60

Staff Data Engineer information

See salary details

$23K

$99.3K

$192.5K

How much do staff data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for staff data engineer in the United States is $99,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $125,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Staff Data Engineer, you need advanced proficiency in data architecture, programming (such as Python, Java, or Scala), and experience with large-scale data systems, supported by a bachelor's or master's degree in computer science or a related field. Familiarity with big data tools (Hadoop, Spark), cloud platforms (AWS, GCP, or Azure), and relevant certifications like Google Professional Data Engineer or AWS Data Analytics are typically required. Strong problem-solving abilities, effective communication, and leadership skills help drive cross-functional projects and mentor junior engineers. These skills ensure the design, implementation, and maintenance of robust data infrastructure that supports organizational decision-making and scalability.

What is a staff data engineer?

Staff Data Engineers are senior-level professionals responsible for designing, building, and maintaining large-scale data processing systems and architectures. They often lead technical initiatives, set data engineering standards, and mentor other engineers within a company. Staff Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure reliable and efficient data pipelines. Their role requires deep expertise in data modeling, ETL processes, distributed systems, and cloud technologies. They play a crucial part in enabling organizations to make data-driven decisions at scale.

How does a staff data engineer typically collaborate with cross-functional teams to deliver data-driven solutions?

As a Staff Data Engineer, you’ll frequently partner with data scientists, analysts, and product managers to understand project requirements and design scalable data systems. You'll be responsible for translating business needs into technical specifications, recommending best practices, and mentoring junior engineers. Collaboration often involves participating in sprint planning, code reviews, and architecture discussions to ensure data solutions are robust, secure, and aligned with organizational goals. Effective communication and a proactive approach to problem-solving are key to successful collaboration in this role.

What is the difference between Staff Data Engineer vs Data Engineer?

AspectStaff Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience with big data toolsBachelor's in CS or related field, some experience with data pipelines
Work EnvironmentSenior-level, cross-team collaboration, leadership rolesEntry to mid-level, focused on building data pipelines
Employer & Industry UsageTech companies, large enterprises, data-driven organizationsStartups, small to medium enterprises, tech firms

The main difference is that a Staff Data Engineer typically has more experience, leadership responsibilities, and works on complex projects across teams, whereas a Data Engineer focuses on developing and maintaining data pipelines at an operational level.

More about Staff Data Engineer jobs

What cities are hiring for Staff Data Engineer jobs?

Cities with the most Staff Data Engineer job openings:

What states have the most Staff Data Engineer jobs?

States with the most job openings for Staff Data Engineer jobs include:

Infographic showing various Staff Data Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $99,330 per year, or $47.8 per hour.

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 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