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Weekend Ai Data Engineer Jobs in Arkansas (NOW HIRING)

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

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 ...

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

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 ...

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

The role involves designing and building scalable data pipelines, collaborating with AI developers, and ensuring data quality and performance optimization. Responsibilities : • Design and build ...

Senior Data Engineer, AI Systems

Ink, AR · On-site

$165K - $215K/yr

This role will be reporting to the Director of Engineering (AI/ML). Responsibilities: * Build, maintain, and optimize production data pipelines that power AI-driven personalization at scale across ...

Staff, Data Engineer

Bentonville, AR · On-site

$110K - $220K/yr

Analytics & AI Enablement * Support data scientists, analysts, and product teams by providing ... Engineering Excellence * Optimize platform performance, scalability, and cost efficiency. * Mentor ...

Cloud Data Engineer

Fayetteville, AR · On-site

$109K - $131K/yr

The Cloud Engineer will be a foundational hire to build our next generation data platform powering reporting, analytics, and AI use cases across our enterprise. This role will work to implement a ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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Showing results 1-20

Weekend Ai Data Engineer information

What is the difference between Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What are the most commonly searched types of Ai Data Engineer jobs in Arkansas?

The most popular types of Ai Data Engineer jobs in Arkansas are:

What are popular job titles related to Weekend Ai Data Engineer jobs in Arkansas?

For Weekend Ai Data Engineer jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Weekend Ai Data Engineer jobs in Arkansas look for?

The top searched job categories for Weekend Ai Data Engineer jobs in Arkansas are:

What cities in Arkansas are hiring for Weekend Ai Data Engineer jobs?

Cities in Arkansas with the most Weekend Ai Data Engineer job openings:

Infographic showing various Weekend Ai Data Engineer job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

GCP Data Engineer

Bentonville, AR • On-site

1 point system
IT Services • 51 - 200 employees

$100K - $120K/yr

Contractor

Re-posted 20 days ago


Job description

Requirement – GCP Data Engineer

Location- Bentonville, Arkansas

Contract W2

Job Description:
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 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 GCP data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow

•    Solid understanding of ETL/ELT patterns and data warehousing principles

PREFERRED QUALIFICATIONS

•    GCP 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