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Data Engineer Airflow Jobs in Springdale, AR (NOW HIRING)

OperAxis

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 ... Responsibilities : • Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache ...

1 point system

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 ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

GCP Data Engineer 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 ...

WorkNovas LLC

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Data Engineer Location: Sunnyvale, CA & Bentonville, AR - (On-Site) -     Worknovas is ... Experience with Airflow, Databricks, Docker, Kubernetes is a plus.

Winaxis

Sr. Data Engineer with GCP

Bentonville, AR · On-site

$60/hr

Senior Data Engineer (GCP) - Location: Bentonville, AR or Sunnyvale, CA (Day 1 onsite ... Airflow - Experience in Retail (preferred) --- ### Key Responsibilities - Design, develop, and ...

IT Associates, Inc.

Azure Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

Azure Data Engineer * Contract: 1+ year * Hybrid: 2-3 Days / Week * Locations: Bentonville, AR or ... Build and manage Apache Airflow DAGs using reusable, modular frameworks. * Design and deploy ...

R2 Technologies Corporation

GCPData Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Data engineer with experience with ETL workflows and data pipelines using tools like Hive, Spark and Airflow. The ideal candidate should be an expert in developing, testing and deployment of data ...

Walmart

Senior, Data Engineer

Bentonville, AR

$92K - $126K/yr

... Airflow, and BigQuery Ensure performance, reliability, and cost efficiency of pipelines across ... Partner with data engineers, product teams, architects, and business stakeholders across ...

Walmart

Senior, Data Engineer

Bentonville, AR · On-site +1

$100K - $120K/yr

Experience designing and orchestrating idempotent workflows using tools like Apache Airflow or ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Lennar

Lead Data Engineer

Bentonville, AR · Remote

$89K - $118K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Orchestration & scheduling tools (Prefect, Airflow is a plus) * Qlik Replicate Other Requirements

Pwc

Data Engineer - Senior Associate

Fayetteville, AR

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

Walmart

(USA) Data Engineer III

Sulphur Springs, AR · On-site

$90K - $180K/yr

Proficiency in Git/version control, CI/CD pipelines, workflow schedulers like Airflow, and working ... Data engineering, database engineering, business intelligence, or business analytics, Master ...

Walmart

(USA) Data Engineer III

Bentonville, AR · On-site

$90K - $180K/yr

Proficiency in Git/version control, CI/CD pipelines, workflow schedulers like Airflow, and working ... Data engineering, database engineering, business intelligence, or business analytics, Master ...

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Showing results 1-20

All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Springdale, AR

Data Engineer Airflow information

See Springdale, AR salary details

$39.4K

$114.7K

$157K

How much do data engineer airflow jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer airflow in Springdale, AR is $114,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $121,600.00 per year, depending on experience, location, and employer.

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

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What does a Data Engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

How does a Data Engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.
What are popular job titles related to Data Engineer Airflow jobs in Springdale, AR? For Data Engineer Airflow jobs in Springdale, AR, the most frequently searched job titles are:
What job categories do people searching Data Engineer Airflow jobs in Springdale, AR look for? The top searched job categories for Data Engineer Airflow jobs in Springdale, AR are:
Data Engineer Airflow jobs near you

Data Engineer

OperAxis

Bentonville, AR • On-site

$97K - $117K/yr

Full-time

Posted 8 days ago

Job description

Job Summary:
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 performance optimization.
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
Qualifications:
Required:
• 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:
• 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
Company:
Welcome to OperAxis, a leader in workforce solutions, committed to delivering beyond traditional staffing. Founded in 2021, the company is headquartered in Wilmington, Delaware , US, , with a team of 11-50 employees. The company is currently Early Stage.

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