1

Staff Data Engineer Jobs (NOW HIRING)

Staff, Data Engineer

Milpitas, CA · On-site

$143K - $286K/yr

As a Staff Data Engineer, you'll design and optimize real-time data pipelines, enable AI-driven applications, and drive high-impact decisions at enterprise scale. This role offers end-to-end ...

Staff Data Engineer

MN · Remote

$117K - $140K/yr

Summary The Staff Data Engineer is responsible for building, maintaining and improving data pipelines, orchestrating workflows, and analytics ready data models that support business reporting and ...

Dallas, TX Summary The Staff Data Engineer, MLOps leads the design, build, and optimization of Hershey's machine learning operations platform-enabling data science and AI teams to develop, deploy ...

Staff, Data Engineer

Mountain View, CA · On-site

$143K - $286K/yr

As a Staff Data Engineer, you'll design and optimize real-time data pipelines, enable AI-driven applications, and drive high-impact decisions at enterprise scale. This role offers end-to-end ...

Staff Data Engineer

San Francisco, CA · On-site

$177K - $226K/yr

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 ...

Dallas, TX Summary The Staff Data Engineer, MLOps leads the design, build, and optimization of Hershey's machine learning operations platform-enabling data science and AI teams to develop, deploy ...

Staff, Data Engineer

San Mateo, CA · On-site

$143K - $286K/yr

As a Staff Data Engineer, you'll design and optimize real-time data pipelines, enable AI-driven applications, and drive high-impact decisions at enterprise scale. This role offers end-to-end ...

Staff, Data Engineer

Fremont, CA · On-site

$143K - $286K/yr

As a Staff Data Engineer, you'll design and optimize real-time data pipelines, enable AI-driven applications, and drive high-impact decisions at enterprise scale. This role offers end-to-end ...

Staff Data Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

ABOUT THE TEAM As a Staff Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our ...

Staff Data Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

ABOUT THE TEAM As a Staff Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our ...

Staff Data Engineer

$180K - $220K/yr

What you will Do We are seeking a seasoned Senior / Staff Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and ...

Staff Data Engineer

Boca Raton, FL · On-site

$108K - $130K/yr

ModMed is hiring a driven Staff Data Engineer with a passion for technology to help revolutionize the world of Healthcare IT. Data engineers are at the core of a data-driven business; they build and ...

Staff AWS Data Engineer

Manhattan, NY · On-site

$180K - $210K/yr

Staff Data Engineer Remote, USA $180,000 to $210,000 USD This is a high-impact Staff Data Engineer role where you will help shape and deliver modern, enterprise-scale data platforms. You will play a ...

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

Staff Data Engineer

Waltham, MA · Hybrid

$162K - $190K/yr

A Staff Data Engineer will also contribute to themodernization of ourarchitectureandtoolstohelp increase our output, scalability, and speed. AStaff Data Engineer will design and develop highly ...

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

Arlington, VA · Remote

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and ...

$185K - $220K/yr

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and ...

next page

Showing results 1-20

Staff Data Engineer information

See salary details

$23K

$99.3K

$192.5K

How much do staff data engineer jobs pay per year?

As of Jul 7, 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 engineer makes $500,000 a year?

Senior staff data engineers or principal data engineers with extensive experience, advanced skills in big data tools, and leadership responsibilities can earn $500,000 or more annually. Such compensation often includes base salary, bonuses, and stock options, typically in large tech companies or organizations with high data maturity. Achieving this level usually requires years of experience, specialized expertise, and a strong track record of delivering complex data solutions.

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 are Staff Data Engineers?

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.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or at large organizations. Entry-level or mid-level data engineers typically earn lower salaries, and reaching a $200,000 salary often requires several years of experience and specialized knowledge.

What engineers make $300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized industries, or those holding leadership responsibilities and advanced certifications.

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.

What does a staff data engineer do?

A staff data engineer designs, develops, and maintains large-scale data systems and pipelines to support data analysis and business decision-making. They often lead data architecture initiatives, optimize data workflows, and collaborate with data scientists and engineers using tools like SQL, Spark, and cloud platforms. This role typically requires strong programming skills, experience with data modeling, and a deep understanding of data governance and security practices.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $99,330 per year, or $47.8 per hour.
Staff, Data Engineer

Staff, Data Engineer

Walmart

Milpitas, CA • On-site

$143K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,929 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do...Join Walmart’s Global Tech Data Engineering team to build and scale the data platforms powering Marketplace and connecting millions of sellers and customers. As a Staff Data Engineer, you’ll design and optimize real-time data pipelines, enable AI-driven applications, and drive high-impact decisions at enterprise scale. This role offers end-to-end ownership and the opportunity to shape the future of data and commerce. About the team:
Global Marketplace is Walmart’s third‑party commerce platform, connecting sellers to millions of customers across categories while leveraging Walmart’s scale, trust, and omni‑channel reach. Marketplace platforms enable third-party sellers, and internal teams to deliver seamless digital and physical commerce experiences, supported by Walmart Global Tech’s data, platform, and AI capabilities. The Data Engineering organization within Walmart Global Tech AI and Data team builds and operates the platforms that make this possible—enabling real‑time decision‑making, personalizing seller focused applications, and the next generation of AI‑driven and agent‑enabled systems. We build with a people‑led, tech‑empowered mindset, focused on reliability, trust, and long‑term sustainability. 
  What you'll do:  
  • Design, develop, and maintain scalable data pipelines and ETL processes to support business analytics and reporting needs. 
  • Collaborate with cross-functional teams to identify data requirements and translate them into efficient data models and architectures. 
  • Extract, transform, and integrate data from internal and external sources, ensuring data quality and consistency. 
  • Implement and optimize data storage solutions using cloud platforms and big data technologies such as Apache Spark and Kafka. 
  • Analyze complex data flows and system integrations to propose effective solutions and improvements. 
  • Develop, test, and deploy code to automate data processing and support data governance standards.  
     
What you'll bring:  
  • 7–10+ years of experience in data engineering, building and operating large-scale, distributed, fault-tolerant data platforms. 
  • Deep expertise in cloud-native data ecosystems (GCP or Azure preferred), including services such as BigQuery, Dataflow, Pub/Sub, or equivalent, with experience shaping platform-level decisions. 
  • Proven track record of designing data architectures that scale across multiple teams and use cases, including batch, streaming, and hybrid systems. 
  • Strong understanding of agent-consumable data patterns, including semantic modeling, embeddings, knowledge graphs, and context enrichment strategies. 
  • Expert-level skills in data modeling and system design, with the ability to reason about how schema, latency, and storage choices impact retrieval quality and AI reasoning. 
  • Hands-on experience or strong familiarity with LLM-enabled systems, including prompt orchestration, retrieval-augmented generation (RAG), or agent frameworks (e.g., LangChain, LlamaIndex, CrewAI). 
  • Advanced knowledge of data governance and trust frameworks, including quality, access control, lineage, and compliance—especially for AI auditability. 
  • Fluency in Python, Java, or Scala, with a strong engineering mindset around testability, maintainability, and performance; deep experience with Spark/PySpark. 
  • Expert SQL skills and experience optimizing analytical workloads across massive datasets. 
  • Strong systems thinking and technical leadership, with the ability to influence without authority and drive alignment across organizational boundaries. 
  • Experience with real-time and analytical tooling such as Kafka, Spark Streaming, Druid, Presto, and how they fit into modern data and AI architectures. 
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.  We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.  
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. 
Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00
Bentonville, Arkansas US-10735: The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

‎ 

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor’s degree in Computer Science and 4 years' experience in software engineering or related field. Option 2: 6 years’ experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field.
3 years' experience in data engineering, database engineering, business intelligence, or business analytics.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 4 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

Social media