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Data Engineer Data Jobs in Arkansas (NOW HIRING)

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 ...

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 ...

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 ...

$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 ...

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 ...

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 ...

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 ...

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 ...

Data Engineer

Arkansas City, AR

$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 ...

New

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 ...

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 ...

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 ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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 ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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 ...

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 ...

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 ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Arkansas? For Data Engineer Data jobs in Arkansas, the most frequently searched job titles are:
What cities in Arkansas are hiring for Data Engineer Data jobs? Cities in Arkansas with the most Data Engineer Data job openings:

Google Cloud Platform Data Engineer

PY DATA, INC.

Bentonville, AR • On-site

$97K - $117K/yr

Other

Posted 19 days ago


Job description

Google Cloud Platform Data Engineer

Hybrid Bentonville, AR

6 months Contract to Hire (CTH)

Must haves:
Google Cloud Platform Data Engineering

KEY RESPONSIBILITIES

  • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and Google Cloud Platform Dataflow
  • Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries
  • Build and maintain data pipelines feeding AI/ML feature stores and forecasting models
  • Collaborate with AI Developers to ensure high-quality, low-latency data access for model training
  • Manage and optimize Cloud Composer DAGs and pipeline orchestration
  • Implement data quality monitoring, alerting, and lineage tracking
  • Participate in data platform architecture decisions and documentation

REQUIRED QUALIFICATIONS

  • 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience
  • Hands-on experience with Apache Airflow for pipeline orchestration
  • Proficiency in Apache Spark for large-scale data processing
  • Strong SQL skills including complex query optimization and BigQuery-specific capabilities
  • Experience with Google Cloud Platform data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow
  • Solid understanding of ETL/ELT patterns and data warehousing principles

PREFERRED QUALIFICATIONS

  • Google Cloud Platform Professional Data Engineer certification
  • Experience supporting ML/AI data infrastructure (feature engineering, training datasets)
  • Familiarity with real-time streaming (Kafka, Dataflow/Flink)
  • Retail or large-scale consumer data experience