1

Data Engineer Jobs in Arkansas (NOW HIRING)

Data Engineer III

Elkins, AR · On-site

$107K - $128K/yr

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise ...

Data Engineer III

Pea Ridge, AR · On-site

$98K - $118K/yr

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise ...

Data Engineer III

Cave Springs, AR · On-site

$100K - $120K/yr

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise ...

Data Engineer III

Springdale, AR · On-site

$101K - $121K/yr

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise ...

Data Engineer III

Rogers, AR · On-site

$107K - $128K/yr

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise ...

COSMOS - Data Engineer IV

Little Rock, AR · On-site

$109K - $131K/yr

The Data Engineer IV position is a full-time provisional with the COSMOS Research Center (cosmos.ualr.edu) at the University of Arkansas and is funded through a grant or contract. The position ...

COSMOS - Data Engineer IV

Little Rock, AR

$109K - $131K/yr

The Project/Program Specialist (Data Engineer IV) position is a full-time provisional with the COSMOS Research Center (cosmos.ualr.edu) at the University of Arkansas and is funded through a grant or ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer III

Tontitown, AR · On-site

$115K - $138K/yr

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise ...

Data Engineer III

Elm Springs, AR · On-site

$104K - $124K/yr

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer III

Decatur, AR · On-site

$93K - $112K/yr

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Lead Data Engineer

Bentonville, AR · Remote

$89K - $118K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and ...

Showing results 41-60

Data Engineer information

See Arkansas salary details

$36.8K

$107.3K

$146.8K

How much do data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer in Arkansas is $107,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $113,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Arkansas? The most popular types of Data Engineer jobs in Arkansas are:
What are popular job titles related to Data Engineer jobs in Arkansas? For Data Engineer jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Arkansas look for? The top searched job categories for Data Engineer jobs in Arkansas are:
What cities in Arkansas are hiring for Data Engineer jobs? Cities in Arkansas with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in AR? For Data Engineer jobs in AR, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Arkansas as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 5% Part Time, and 11% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $107,263 per year, or $51.6 per hour.

Data Engineer III

Walmart

Elkins, AR • On-site

$107K - $128K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,376 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...

As a Data Engineer III at Walmart, you will design, develop, and maintain scalable data pipelines and architectures that support business analytics and decision-making. This role requires expertise in data modeling, transformation, and integration across various data sources, ensuring data quality and governance compliance. You will collaborate with crossfunctional teams to implement data strategies aligned with enterprise goals, leveraging advanced technologies such as Apache Spark and cloud platforms. Your contributions will enable efficient data accessibility and insight generation, driving continuous improvement and innovation within Walmart’s data ecosystem.


About the team:
Global Data Foundations (GDF) manages Walmart’s Enterprise Data Lake, delivering trusted data that supports insights, analytics, and informed decisions across the company. The team plays a vital role in enabling AI by providing well-governed and cataloged data assets. This role focuses on Real Estate, Energy, and Manufacturing data, essential for decisions on store construction, remodels, energy investments, and EV charging expansion. Partners depend on GDF for reliable, consistent, and comprehensive data to make timely, confident decisions that drive business success.
 

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 sources, ensuring data quality, integrity, and compliance with governance standards.
  • Build and optimize data models, data lakes, and warehouses using SQL, Apache Spark, and cloud-based platforms.
  • Implement data ingestion and integration solutions leveraging big data technologies such as Apache Kafka and distributed storage systems.
  • Analyze complex data flows and propose improvements to enhance system performance and data accessibility.
  • Support deployment, testing, and documentation of data engineering solutions aligned with enterprise data strategy.


 

What you'll bring:

  • Extensive experience in data engineering, including data transformation, modeling, and pipeline development.
  • Proficiency in SQL and programming languages such as Python, Java, or similar for code development and testing.
  • Strong knowledge of ETL processes, data ingestion techniques, and big data technologies like Apache Spark and Kafka.
  • Understanding of data governance, data quality frameworks, and regulatory requirements related to data privacy and security.
  • Ability to design and implement scalable data architectures, including data lakes and warehouses.
  • Familiarity with cloud-based data platforms and modern data integration methods.
  • Demonstrated capability to analyze complex data flows and develop efficient data models.

Note: Immigration sponsorship is not available for this position.

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.

‎ 

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 2 years' experience in software engineering or related field. Option 2: 4 years’ experience in
software engineering or related field. Option 3: Master's degree in Computer Science. 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, Master’s degree in Computer Science or related field and 2 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... 2608 Se J St, Bentonville, AR 72716-3724, 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