1

Senior Data Engineer Jobs in Springdale, AR (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ... Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy ...

Senior, Data Scientist

Springdale, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Senior, Data Scientist

Gravette, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Senior, Data Scientist

Cave Springs, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Senior, Data Scientist

Johnson, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Senior, Data Scientist

Fayetteville, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Senior, Data Scientist

Farmington, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Senior, Data Scientist

Centerton, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Senior, Data Scientist

Pea Ridge, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Senior, Data Scientist

Goshen, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Senior, Data Scientist

Greenland, AR · On-site

$90K - $180K/yr

As a Senior Data Scientist, you will be responsible for owning fraud risks in various product ... Work with engineering teams to implement model pipeline and deploy the service at scale. * Swiftly ...

Showing results 21-40

Senior Data Engineer information

See Springdale, AR salary details

$71.6K

$111.7K

$154.8K

How much do senior data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior data engineer in Springdale, AR is $111,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $127,300.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Springdale, AR?

The most popular types of Data Engineer jobs in Springdale, AR are:

What are popular job titles related to Senior Data Engineer jobs in Springdale, AR?

For Senior Data Engineer jobs in Springdale, AR, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Springdale, AR look for?

The top searched job categories for Senior Data Engineer jobs in Springdale, AR are:

What cities near Springdale, AR are hiring for Senior Data Engineer jobs?

Cities near Springdale, AR with the most Senior Data Engineer job openings:

Infographic showing various Senior Data Engineer job openings in Springdale, AR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,717 per year, or $53.7 per hour.

Senior, Data Engineer, Data Strategist - Catalog Solutions

Walmart

Pea Ridge, AR • On-site

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,437 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...This role works across Catalog Solutions and partner teams to identify where product data, supply chain signals, and classification outputs are not fit for business use, and to turn those gaps into practical improvements. It combines hands-on analysis with cross-functional problem solving, helping drive better data accessibility, usability, and readiness through existing tooling, analytics, and platform teams. What you'll do...About the Team Catalog Solutions sits between core item data and the business processes that depend on it across merchandising, supply chain, stores, compliance, and related areas. We work on the shared capabilities that make product-linked data, classifications, supply chain signals, and decision outputs more usable, consistent, and actionable across the company. The team focuses on how these inputs and outputs are shaped, improved, and applied in real workflows. We partner closely with business, product, engineering, and analytics teams to make sure the work is practical, scalable, and connected to how the business actually operates. About the Role As Senior Data Engineer / Data Strategist, you will lead how Catalog Solutions improves the quality and usability of data and outputs the business depends on, including item-related data, classifications, supply chain signals, and decision outputs. This role sits in a strategy-oriented team, but it is hands-on where it needs to be. You will work across stakeholders and partner teams to understand where the current state is falling short, define what needs to improve, and help move that work forward. Some of that will involve direct analysis and discovery. Some of it will involve rapid prototyping and building while working with engineering and platform teams to shape and scale enhancements. This is a strong fit for someone who is comfortable moving between data, business context, and execution — someone who can investigate issues, bring structure to ambiguity, and help turn findings into practical improvements. What You’ll Do
  • Identify where data, classifications, supply chain signals, or decision outputs are not meeting business needs.
  • Work through source questions, logic questions, and usability gaps to clarify what should change.
  • Use SQL and targeted analysis to investigate issues, validate assumptions, and support decision-making.
  • Help translate findings into clear actions, priorities, and improvement plans.
  • Prototype first, then partner with engineering, platform, and business teams to scale enhancements.
  • Support efforts to make outputs more consistent, useful, and easier for downstream teams to rely on.
  • Bring structure to cross-functional work where ownership, requirements, or next steps are not yet clear.
How Success Is Measured
  • The business has greater confidence in the data and outputs it relies on.
  • Important gaps are identified early and turned into practical improvements.
  • Data and decision outputs become easier to use across real workflows.
  • Cross-functional efforts move more smoothly because issues are better defined, prioritized, and fixed efficiently.
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Supply Chain, Business Analytics, Economics, or related field, or equivalent practical experience.
  • 4+ years experience in data engineering, analytics, data strategy, or related roles.
  • Strong SQL and comfort working directly with complex data to investigate issues and validate logic.
  • Experience translating business questions into structured analysis and actionable recommendations.
  • Experience working across business, product, engineering, and analytics teams.
Preferred Qualifications
  • Experience in catalog, merchandising, supply chain, store operations, fulfillment, compliance, or similar operational domains.
  • Experience improving data quality, consistency, or usability in a business-facing environment.
  • Experience working in ambiguous spaces where requirements are not fully defined up front.
  • Strong problem-solving skills and the ability to connect detailed analysis to broader business needs.
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.
The annual salary range for this position is $90,000.00 - $180,000.00 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 3 years' experience in software engineering or related field. Option 2: 5 years’ experience in
software engineering or related field. Option 3: Master's degree in Computer Science and 1 year’s experience in software engineering or related
field.
2 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 3 years' experience in software engineering, 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... 601 Respect Dr, Bentonville, AR 72716, United States of America Walmart 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