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Data Engineer Jobs in Arkansas (NOW HIRING)

WorkNovas LLC

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Data Engineer Location: Sunnyvale, CA & Bentonville, AR - (On-Site) -     Worknovas is looking for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using ...

OperAxis

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

OperAxis is a company seeking a Data Engineer to join their team. The role involves designing and building scalable data pipelines, collaborating with AI developers, and ensuring data quality and ...

Redolent, Inc.

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

Data Engineer Bentonville, AR Tech and functional Skill: * Must have - Good knowledge of developing and maintaining Python and Pyspark Code. * Good understanding of data communication pipelines with ...

Murphy USA

Data Engineer I

El Dorado, AR

$101K - $122K/yr

GENERAL DESCRIPTION OF POSITION The Data Engineer is responsible for development and support of data products on a modern cloud-based data lake, leveraging expertise and knowledge of multiple ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Requirement - GCP Data Engineer Location- Bentonville, Arkansas Contract W2 KEY RESPONSIBILITIES • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

GCP Data Engineer KEY RESPONSIBILITIES • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow • Develop and maintain BigQuery data models, schemas, and ...

IT Associates, Inc.

Azure Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

Azure Data Engineer * Contract: 1+ year * Hybrid: 2-3 Days / Week * Locations: Bentonville, AR or Little Rock, AR * Client also has other lcoations like - Dallas area, Nashville, Oklahoma City and ...

Bespoke Labs

Data Engineer

Jonesboro, AR · On-site

$98K - $117K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Hot Springs, AR · On-site

$93K - $111K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Springdale, AR · On-site

$101K - $121K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Little Rock, AR · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Fort Smith, AR · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Fayetteville, AR · On-site

$107K - $129K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Conway, AR · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Prescryptive

$109K - $131K/yr

About this role As a Principal Data Engineer, you will play a key role in developing our modern data infrastructure and play a strategic role in building a cutting-edge analytical data and AI ...

Walmart

Senior, Data Engineer

Bentonville, AR · On-site +1

$100K - $120K/yr

As part of our Data Engineering team, you will contribute to high-impact Single Source of Truth (SSOT) data products such as eComm Fulfillment 360, Store Fulfillment 360, and Omni Transaction 360. We ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Arkansas

Data Engineer information

See Arkansas salary details

$36.8K

$107.3K

$146.8K

How much do data engineer jobs pay per year?

As of Jul 26, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Arkansas? The most popular types of Data Engineer jobs in Arkansas are:
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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:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Arkansas as of July 2026, with employment types broken down into 71% Full Time, 7% Part Time, and 22% 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

Data Engineer

Indotronix International Corporation

Bentonville, AR • On-site

$100K - $120K/yr

Full-time

Posted 5 days ago

Job description

Data Engineer | Bentonville, Arkansas, United States Job Summary: Data Engineer (Onsite - Northwestern Arkansas) About the Role Join a dynamic team powering large-scale demand forecasting and Machine Learning Operations (ML Ops) at a leading enterprise in Northwestern Arkansas. As a Data Engineer, you will design and optimize critical data pipelines, collaborate with top-tier AI experts, and impact supply chain innovation from end to end. This is a unique opportunity to apply advanced data engineering skills in a high-visibility, growth-focused environment. Responsibilities - Design, build, and maintain scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow. - Develop and optimize data models, schemas, and complex SQL queries in BigQuery. - Build robust data pipelines supporting AI/ML feature stores and forecasting models. - Partner with AI Developers to deliver high-quality, low-latency data for model training and inference. - Implement and manage Cloud Composer DAGs and orchestrate data workflows for reliability. - Establish data quality monitoring, alerting, and lineage tracking solutions. - Participate in data platform architecture and contribute to technical documentation. - Support backend software engineering and DevOps tasks for the data platform. Required Skills and Experience - 3+ years (intermediate) or 5+ years (specialist) in Data Engineering. - Hands-on expertise with Apache Airflow for pipeline orchestration. - Proficient in Apache Spark for large-scale data processing. - Strong SQL abilities, with deep knowledge of BigQuery optimization. - Experience working with Google Cloud Platform (GCP) services: BigQuery, Cloud Storage, Pub/Sub, Dataflow. - Solid understanding of ETL/ELT and data warehousing best practices. - Must be authorized to work in the US without current or future sponsorship. Preferred Skills - GCP Professional Data Engineer certification. - Experience supporting ML/AI infrastructure, feature engineering, and model training datasets. - Familiarity with real-time streaming (Kafka, Flink). - Experience in retail or large-scale consumer data environments. Benefits - Competitive compensation. - 4 days onsite fosters collaboration and meaningful team engagement. - Exposure to cutting-edge ML Ops initiatives and end-to-end supply chain systems. - Opportunity for career advancement in a rapidly growing, AI-focused organization. - Work on high-impact projects with industry leaders. How to Apply Ready to accelerate your data engineering career? Submit your resume and a brief cover letter outlining your relevant experience. Qualified candidates will be contacted for next steps. Background check and drug screen required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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