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Airflow Developer Jobs in Arkansas (NOW HIRING)

... Airflow - Experience in Retail (preferred) --- ### Key Responsibilities - Design, develop, and ... engineers and lead design reviews/standups. - Groom and prioritize backlog using JIRA. - Act as ...

Senior DevOps Engineer

Little Rock, AR

$124K - $160K/yr

... Airflow, temporal on kubernetes and cloud. * Implement and harden operational tooling for ... About you: * 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or ...

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 ...

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow ... Collaborate with AI Developers to ensure high-quality, low-latency data access for model training

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 ...

Bigdata Engineer

Bentonville, AR · On-site

$48.75 - $64.75/hr

Proven track record of hands-on coding experience with at least one programming language, such as ... Experience with integration and orchestration tools, including: o Automic o Apache Airflow ...

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.

Senior, Software Engineer

Bentonville, AR · On-site +1

$90K - $180K/yr

As a Senior Software Engineer, you will lead the delivery of scoped features and solutions by ... DesignanddevelopbackendsolutionsusingtechnologiessuchasJava,Python,ApacheSpark,GoogleCloud,Airflow ...

Staff, Data Engineer

Bentonville, AR · On-site

$110K - $220K/yr

Build self-service platform capabilities that improve developer productivity. * Improve platform ... Hands-on experience or strong familiarity with data platforms and technologies such as Airflow, GCP ...

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

(USA) Principal, Software Engineer

Bentonville, AR · On-site

$118K - $158K/yr

The Principal Software Engineer leads the design and delivery of scalable platform capabilities ... Airflow. * Proven expertise in cloud-native architecture and distributed system design ensuring ...

Azure/GCP Cloud Platform, Airflow DAGs , micro-services architectures, event-based architecture (Kafka), Kubernetes, Docker), Big query database * Proven expertise in object-oriented programming and ...

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Airflow Developer information

What is an Airflow developer?

Airflow Developers are professionals who design, build, and maintain data workflows using Apache Airflow, an open-source platform for orchestrating complex computational workflows and data processing pipelines. They are responsible for writing, scheduling, and monitoring tasks (DAGs) that automate data movement and transformation across systems. Airflow Developers work closely with data engineers, analysts, and other stakeholders to ensure reliable and efficient data pipeline automation. Their expertise includes Python programming, Airflow configuration, troubleshooting, and best practices for scalable workflow management.

What are the key skills and qualifications needed to thrive as an Airflow developer, and why are they important?

To thrive as an Airflow Developer, you need strong programming skills in Python, experience with data pipelines, and a solid understanding of workflow orchestration concepts. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and version control systems such as Git are typically required, along with knowledge of containerization tools like Docker. Analytical thinking, attention to detail, and effective communication are key soft skills for collaborating with data teams and troubleshooting complex workflows. These competencies ensure reliable, scalable, and maintainable data pipeline solutions that support organizational data needs.

What are some common challenges Airflow developers face when managing complex data pipelines, and how can these be addressed?

Airflow Developers often encounter challenges such as managing dependencies between tasks, handling large-scale workflows, and ensuring reliable pipeline execution. To address these, it's essential to design modular DAGs (Directed Acyclic Graphs), implement robust error handling, and use features like sensors and retries strategically. Collaboration with data engineers and stakeholders is also key for troubleshooting and optimizing workflows. Effective monitoring and logging practices further help in quickly identifying and resolving issues.

What is the difference between Airflow Developer vs Data Engineer?

AspectAirflow DeveloperData Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud platforms
Work EnvironmentFocus on workflow orchestration, automationData pipeline development, storage, processing
Industry UsageTech, finance, healthcare for workflow automationBroad industries for data infrastructure

While both roles involve working with data and Python, an Airflow Developer specializes in designing and maintaining workflow automation using Apache Airflow. In contrast, a Data Engineer builds and manages data pipelines and infrastructure across various tools and platforms. The roles often overlap but differ mainly in scope and focus.

Does Airflow require coding?

Airflow developers typically need to have programming skills in Python, as workflows are defined using code. Coding knowledge is essential for creating, maintaining, and troubleshooting data pipelines in Airflow.

Is Airflow part of DevOps?

An Airflow Developer works with Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. While Airflow is often employed within DevOps environments to automate data pipelines and deployment processes, it is not inherently part of DevOps but complements DevOps practices by enabling automation and orchestration. Knowledge of CI/CD tools and infrastructure management is beneficial for such roles.

What are popular job titles related to Airflow Developer jobs in Arkansas?

For Airflow Developer jobs in Arkansas, the most frequently searched job titles are:

Sr. Data Engineer with GCP

Winaxis

Bentonville, AR • On-site

$60/hr

Contractor

Re-posted 18 days ago


Job description

Job Summary – Data Engineer with GCP
- Role: Senior Data Engineer (GCP)
- Location: Bentonville, AR or Sunnyvale, CA (Day 1 onsite)
- Citizenship: US Citizen only
- Experience: 12+ years overall; 4+ years recent GCP
- Rate: $60/hr on C2C
---
### Must-Have Skills
- Scala, Python, Spark
- GCP Cloud Services (Dataproc, GCS, BigQuery)
- Apache Airflow
- Experience in Retail (preferred)
---
### Key Responsibilities
- Design, develop, and maintain big data applications using open source technologies.
- Build and automate data pipelines (Hive, Spark, Kafka, Airflow).
- Develop logical and physical data models for big data platforms.
- Automate workflows using Apache Airflow.
- Ongoing maintenance, enhancements, and on-call support for existing systems.
- Mentor junior engineers and lead design reviews/standups.
- Groom and prioritize backlog using JIRA.
- Act as point of contact for assigned business domain.
- Work in an offshore and managed outcome delivery model.
- Share domain and technical knowledge within the team.
---
### Requirements
- 4+ years of recent hands-on GCP experience.
- Experience with GCP Dataproc, GCS, BigQuery.
- 10+ years experience in data warehouse solutions/products.
- 6+ years with Hadoop, Hive or Spark, Airflow or workflow orchestration.
- 5+ years in data modeling and schema design for data lakes or RDBMS.
- Programming: Python, Java, Scala; Scripting: Perl, Shell.
- Handling and processing large datasets (multi-TB/PB scale).
- Test-driven development and automated testing frameworks.
- Agile/Scrum methodology experience.
- Ability to manage multiple priorities independently.
- Excellent verbal and written communication skills.
- Bachelor’s degree in Computer Science or equivalent.
---
### Preferred/Additional Skills
- Experience with Gitflow, BitBucket, JIRA, Confluence.
- Familiarity with CI tools: Bamboo, Jenkins, TFS.