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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 ...

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

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 ...

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, Data Engineer

Bentonville, AR

$92K - $126K/yr

... Airflow, and BigQuery Ensure performance, reliability, and cost efficiency of pipelines across ... Engineering excellence Cost efficiency at scale Global collaboration Outcome-driven delivery At ...

$109K - $131K/yr

... ADF), Airflow / Dagster, and dbt, with SQL and Python. * Design and implement robust data ... Expertise in setting up CI/CD pipelines and DevOps for data projects (e.g. GIT, Terraform, etc.

... 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 ...

... 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 ...

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines and ... Automate data workflows leveraging tools such as Apache Airflow to optimize processing efficiency.

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Airflow Developer information

What are Airflow Developers?

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 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.

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.

Is Airflow in demand?

Airflow developers are in high demand due to the increasing need for data pipeline orchestration in organizations. Skills in Python, cloud platforms, and workflow management tools contribute to strong job prospects in this field.

What jobs in the US pay 300,000 a year?

For an Airflow Developer, earning $300,000 annually typically requires senior-level experience, specialized skills in data pipeline orchestration, and often working in large organizations or consulting roles. High salaries are common in roles involving complex data infrastructure, cloud platforms, and leadership responsibilities. Such compensation is less common for entry-level positions and usually involves additional bonuses or equity components.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or startups with significant growth potential.

What jobs pay $500,000 a year in the US?

High-paying roles for Airflow Developers or similar data engineering professionals can reach or exceed $500,000 annually, especially with seniority, specialized skills, and experience in cloud platforms like AWS or GCP. Such compensation often includes base salary, bonuses, and stock options, typically found in senior or executive-level positions within large tech companies or financial institutions.
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:
What job categories do people searching Airflow Developer jobs in Arkansas look for? The top searched job categories for Airflow Developer jobs in Arkansas are:

Sr. Data Engineer with GCP

Winaxis

Bentonville, AR • On-site

$60/hr

Contractor

Re-posted 27 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.