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Data Engineer Jobs in Arkansas (NOW HIRING)

Data Engineer

Bentonville, AR ยท On-site

$100K - $120K/yr

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

Data Engineer

Bentonville, AR ยท 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 ...

Data Engineer

Bentonville, AR ยท 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 ...

GCP Data Engineer

Bentonville, AR ยท 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

Data Engineer I

El Dorado, AR ยท On-site

$101K - $122K/yr

Job Posting 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 ...

Data Engineer I

El Dorado, AR ยท On-site

$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 ...

GCP Data Engineer

Bentonville, AR ยท 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 ...

Data Engineer

Arkansas City, AR ยท On-site

$106K - $128K/yr

Summary Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions. Responsible for analyzing and preparing the data needed for ...

Staff, Data Engineer

Bentonville, AR ยท On-site

$110K - $220K/yr

As a Staff Data Engineer, you'll be a technical leader shaping the data platforms and pipelines that power [Customer Growth, membership, and analytics] across the enterprise. You'll operate at ...

COSMOS - Data Engineer III

Little Rock, AR ยท On-site

$109K - $131K/yr

The Data Engineer III 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 III

Little Rock, AR ยท On-site

$109K - $131K/yr

The Project/Program Specialist (Data Engineer III) 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 ...

COSMOS - Data Engineer IV

Little Rock, AR ยท 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 ยท On-site

$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 ...

Data Engineer - Senior Manager

Fayetteville, AR ยท On-site

$124K - $280K/yr

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 ...

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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 30, 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 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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $107,263 per year, or $51.6 per hour.

Data Engineer

Bentonville, AR โ€ข On-site

$100K - $120K/yr

Contractor

Re-posted 26 days ago


Job description

Job Title:    Data Engineer

Location:   Sunnyvale, CA & Bentonville, AR - (On-Site)

 
 

Job Description:-   

Worknovas is looking for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka, and cloud services (GCP) to ingest, transform, and deliver data for analytics and ML.
Responsibilities:
As a Senior Data Engineer, you will.
Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming technologies (Kafka, Flink).
Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.
Performance Tuning: Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness
Data Quality: Implement data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency.
Programming:
Strong proficiency in Python, SQL, and potentially Scala/Java.
Big Data: Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).
Streaming: Experience with messaging queues like Apache Kafka, or Pub/Sub.
Cloud: Familiarity with GCP, Azure data services.
Databases: Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases.
Tools:
Experience with Airflow, Databricks, Docker, Kubernetes is a plus..