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

Sr. Data AI Engineer

Alexander, AR · On-site

$107K - $129K/yr

Strong engineering background, preferably in fields such as Computer Science, Mathematics, Engineering, and Data Science * Strong coder with shown proficiency in programming languages such as Python ...

... * Sr. Engineer Pay Range: $108,000 - $125,000 * Engineer II Pay Range: $90,000 - $99,000 ... Identify needed ICCP data to maintain superior real-time monitoring and state estimator results.

... * Sr. Engineer Pay Range: $108,000 - $125,000 * Engineer II Pay Range: $90,000 - $99,000 ... Identify needed ICCP data to maintain superior real-time monitoring and state estimator results.

Senior Product Design Engineer

Conway, AR · On-site

$120K - $150K/yr

As a Senior Product Design Engineer, you will be responsible for leading and contributing to the ... Conduct thorough testing and validation of prototypes, analyzing test data and implementing design ...

... data-driven insights that empower informed decisions for our members and customers. Our application ... Senior Programmer Developer - Six (6) years of applicable Information Technology Development ...

... data-driven insights that empower informed decisions for our members and customers. Our application ... Senior Programmer Developer - Six (6) years of applicable Information Technology Development ...

Here at Molex, we are leading the industry, with our smart data solutions to solve our customers ... Create relationships with senior leadership, cross functional team members and peers through team ...

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Senior Data Engineer information

See Perryville, AR salary details

$67.2K

$104.7K

$145.1K

How much do senior data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data engineer in Perryville, AR is $104,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $119,400.00 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 cities near Perryville, AR are hiring for Senior Data Engineer jobs?

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

Infographic showing various Senior Data Engineer job openings in Perryville, AR as of August 2026, with employment types broken down into 2% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,745 per year, or $50.4 per hour.

Sr. Data AI Engineer

Westrock Coffee

Alexander, AR • On-site

$107K - $129K/yr

Full-time

Re-posted 6 days ago


Westrock Coffee rating

5.2

Company rating: 5.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

391st of 443 rated food and drinks producers


Job description

You'll be joining a small team rebuilding Westrock Coffee's operating system from the ground up on Palantir Foundry. This isn't a maintain-the-dashboard role--you'll architect core data pipelines, design ontology models, and ship AI-driven applications that change how our company operates.
Job Duties:
  • 7-10 years of software engineering and development experience
  • Strong engineering background, preferably in fields such as Computer Science, Mathematics, Engineering, and Data Science
  • Strong coder with shown proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar for data manipulation, scripting, model development, and application building
  • Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)
  • In-office position in Little Rock, Arkansas Headquarters working in a collaborative Foundry Development Center
  • Experience with Palantir Foundry is a strong plus, but we're equally interested in engineers who learn platforms fast and have built on complex data systems before

Qualifications:
  • Collaborate with cross-functional teams to identify requirements to architect and build impactful solutions by developing customer applications
  • Architect and engineer solutions in Palantir Foundry on the team working toward building out the reimagined Westrock Coffee operating system
  • Design and implement end-to-end data pipelines and transformation logic with a focus on data health and sustainability
  • Model objects and relationships in the Enterprise Ontology
  • Apply machine learning best practices, including feature engineering, model validation, and performance tuning for development and deployment
  • Utilize Foundry AIP and integrate LLM-based agents to transform workflows
  • Design and build agent architecture that enables observability, human-in-the-loop verification, and precise context control access

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