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Data Engineer Jobs in Austin, AR (NOW HIRING)

Associate, Data Engineering

Little Rock, AR

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Purpose & Scope As Associate, Data Engineering you will be responsible for developing and maintaining data solutions which support Bank Data Strategy. In this role, you will act as a problem ...

AI Engineer

Little Rock, AR · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

AVP Data Product Manager

Little Rock, AR · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Partners with the Data Innovation Team architects and engineers to convey requirements to support data and report development activities. * Creates logical descriptive solution drawings, process ...

The SQL Engineer - Level 3 is a senior individual contributor responsible for designing, developing, optimizing, and maintaining complex SQL-based data solutions. This role operates with a high ...

The SQL Engineer - Level 3 is a senior individual contributor responsible for designing, developing, optimizing, and maintaining complex SQL-based data solutions. This role operates with a high ...

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

AI Engineer Location: Carmel, IN, Little Rock, AR & Eagan, MN (Hybrid) Duration: Contract to hire ... Support the development of MVP Gen AI applications by enabling data integrations, vendor ...

NGA AI Engineer Manager

Little Rock, AR · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Senior Data Scientist - Identity

Little Rock, AR · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LiveRamp is the data collaboration platform of choice for the world's most innovative companies. A ... Collaborate cross-functionally with product, engineering, customer success, and go-to-market teams ...

Technical Architect - Data, Analytics & AI

Little Rock, AR · Hybrid

$61 - $78.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

US Tech - AI Engineering Senior Associate

Little Rock, AR · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Showing results 21-40

Data Engineer information

See Austin, AR salary details

$37.7K

$109.8K

$150.3K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Austin, AR is $109,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $116,400.00 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 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 Austin, AR?

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

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

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

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

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

Infographic showing various Data Engineer job openings in Austin, AR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $109,831 per year, or $52.8 per hour.

Associate, Data Engineering

Bank OZK

Little Rock, AR

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Bank OZK rating

8.2

Company rating: 8.2 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

Why Bank OZK

Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We’re nationally recognized as an industry leader in financial services. That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country. We’re investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America. Here, we're not simply filling roles. We're fostering even greater careers.

The foundation for a great career starts with an exceptional team and a comprehensive benefits package. We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts. Learn more about Bank OZK benefits.


Job Purpose & Scope

As Associate, Data Engineering you will be responsible for developing and maintaining data solutions which support Bank Data Strategy.  In this role, you will act as a problem-solver who can understand business requirements while developing and maintaining data models, ETL or ELT processes, and reporting solutions.  As a member of a Data Engineering Team, you will perform a variety of tasks to develop and maintain data solutions.  You will demonstrate exceptional customer service, solutioning, planning, teamwork, and organization skills. You will work independently, yet collaboratively, to fulfill assigned objectives.


Essential Job Functions
  1. Assist in the development and maintenance of data model-based solutions as specified by engineering standards.

  2. Perform testing of data solutions to ensure developed product meets business requirements.

  3. Resolve bugs and data issues as identified by product, project management, or governance functions.

  4. Provide work estimates while communicating with Data Engineering Management when assignments deviate from initial estimates. 

  5. Adhere to data development standards.

  6. Work in a coordinated manner with the Data Engineering team and management.

  7. Support the design, development, and production of data applications.

  8. Apply knowledge of data modeling, ELT/ETL methodologies, and database architecture in work processes and deliverables.

  9. Demonstrate an understanding of OZK enterprise data architecture, data platforms, and data operations.

  10. Work with Data Assurance and Deployment team to ensure smooth and well-documented releases.

  11. Actively engage in and learn the business processes of the supported lines of business.

  12. Support change control and version management.

  13. Keep apprised of technological innovation and constantly improve through training.

  14. Enthusiastically embrace, support, and model the Bank’s values and mission.

  15. Ensure compliance with internal/external regulatory policies, procedures, and 


Knowledge, Skills & Abilities
  1. Knowledge of data development skills sets to create and maintain data solutions.

  2. Ability to maintain focus for sustained time periods to deliver on individual or multiple assigned tasks. 

  3. Ability to perform in challenging environments. 

  4. Ability to troubleshoot issues on standard, sensitive, and/or complex accounts.   

  5. Ability to communicate effectively both verbally and in writing and interact with all levels of employees. 

  6. Ability to work independently under general supervision. 

  7. Skill in using computer and Microsoft Office, including Word, Excel, and Outlook.


Basic Qualifications
  1. Bachelor’s degree in a job-related field, or commensurate work experience, required.

  2. 3+ years of experience in database development, data warehouse development, and/or data science experience, required.

  3. 3+ years of experience in reporting technologies such as Power BI, SSRS, Tableau or similar platform, preferred.

  4. Experience in Jira, Azure Devops, or similar development management environment, preferred.

  5. Experience with Snowflake Cloud Data Platform, preferred.

  6. Data development certification, such as Snow Pro Certification or Microsoft SQL Server certification, preferred.   


Job Expectations

Operate customary equipment and technology used in a business environment, with or without accommodation.

Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required.  Other job functions, duties, skills, and standards may be added.  Management reserves the right to add or change the job requirements at any time.

#LI-KC1


EEO Statement

Bank OZK is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.

Qualifications:
  1. Bachelor’s degree in a job-related field, or commensurate work experience, required.

  2. 3+ years of experience in database development, data warehouse development, and/or data science experience, required.

  3. 3+ years of experience in reporting technologies such as Power BI, SSRS, Tableau or similar platform, preferred.

  4. Experience in Jira, Azure Devops, or similar development management environment, preferred.

  5. Experience with Snowflake Cloud Data Platform, preferred.

  6. Data development certification, such as Snow Pro Certification or Microsoft SQL Server certification, preferred.   

Education:UNAVAILABLEEmployment Type: FULL_TIME

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