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Data Transformation Jobs in Arkansas (NOW HIRING)

Pwc

Data Engineer - Manager

Little Rock, AR

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others ...

Pwc

Data Engineer - Senior Manager

Fayetteville, AR · On-site

$124K - $280K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise ...

Pwc

Data Engineer - Manager

Fayetteville, AR · On-site

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others ...

Pwc

Data Engineer - Senior Associate

Little Rock, AR · On-site

$77K - $202K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections ...

Pwc

Data Engineer - Senior Manager

Little Rock, AR · On-site

$124K - $280K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise ...

Pwc

Data Engineer - Senior Associate

Fayetteville, AR

$77K - $202K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections ...

Murphy USA

Data Engineer I

El Dorado, AR · On-site

$101K - $122K/yr

... data transformations for priority use cases. This role can be involved hands on in development of the codebase and partners with business units and peer technology groups to support analytics ...

General Electric Company

Data Engineer

Arkansas City, AR

$106K - $128K/yr

Perform a variety of data loads & data transformations using multiple tools and technologies. * Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications * Validate ...

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Data Transformation information

What are the key skills and qualifications needed to thrive in the data transformation position, and why are they important?

To thrive in a Data Transformation role, a strong background in data analysis, data modeling, and database management is essential, often supported by a degree in computer science, information systems, or a related field. Proficiency with data transformation tools like SQL, ETL platforms (such as Informatica or Talend), and cloud data services is typically required, and certifications in these areas can be advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities are key for collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are important because they ensure accurate, efficient data transformations that support critical business decisions.

What are the typical daily responsibilities of someone in a data transformation role?

In a Data Transformation role, your daily responsibilities often include analyzing raw data from multiple sources, designing and executing processes to clean and reformat data, and collaborating with business and IT teams to ensure data meets project requirements. You’ll typically work with ETL (Extract, Transform, Load) tools to automate and streamline these processes, as well as perform quality checks to validate data accuracy. Coordinating with data engineers, data analysts, and stakeholders is a key part of the job to ensure projects align with business goals. Staying up-to-date with new data management technologies and best practices can also be a regular part of your routine, helping to drive ongoing improvements.

What is a data transformation?

A Data Transformation job involves converting, structuring, and optimizing raw data to make it useful for analysis, reporting, or other business processes. Professionals in this role use ETL (Extract, Transform, Load) tools, coding languages like SQL or Python, and cloud platforms to clean, aggregate, and reformat data. They ensure data integrity, improve accessibility, and support data-driven decision-making. This role is essential in industries that rely on accurate and efficient data processing, such as finance, healthcare, and e-commerce.

What are the most commonly searched types of Data Transformation jobs in Arkansas? The most popular types of Data Transformation jobs in Arkansas are:
What are popular job titles related to Data Transformation jobs in Arkansas? For Data Transformation jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Data Transformation jobs in Arkansas look for? The top searched job categories for Data Transformation jobs in Arkansas are:
Data Transformation jobs near you
Infographic showing various Data Transformation job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

AIA - Data Engineer

Avani Technology Solutions, Inc.

Bentonville, AR • On-site

Contractor

Re-posted 22 days ago

Job description

1. Job Title : Looking for Data Engineer 2. Job Summary :Hadoop Distributed File System big query - Experience in data comparison automation-using scripts/tool/methodologies. Preferably from a ETL background and will support JSON report output comparison from CCPA Core DB and BigID CSV / JSON - Ability to build and automate processes that support data transformation via ETL & scripting frameworks - Strong troubleshooting skills and a methodical approach to issue resolution - Strong working knowledge on SQL and database connectivity such as JDBC ODBC etc - Strong working knowledge no-SQL data-stores (MongoDB Cassandra DynamoDB) and/or Hadoop technologies (such HDFS Hive HBase etc.) - Some background in application development with Java REST web services python etc. 3. Shift : 10 to 8 PM EST 4. Roles & Responsibilities :Data Engineer 5. Demand requires Travel? : no 6. Certification(s) Required : no
Hours : 8:00am to 5:00pm
Education :
Additional Job Details :

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