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Airflow Engineer Jobs in Raleigh, NC (NOW HIRING)

Sr. Data Engineer

Raleigh, NC

$111K - $133K/yr

Experience in data focused solutions such as Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow ... Data engineering related certification from cloud platform like Azure/AWS/Cloudera, and * Customer ...

... tool (dbt, Airflow, or equivalent) * Strong understanding of data modeling and how data moves ... engineering teams. You will automate high-effort workflows, create more reliable data flows, and ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Data Engineer (Health Data Metrics)

Durham, NC · On-site

$110K - $132K/yr

We are seeking a Data Engineer to lead our efforts around reporting scalable metrics for healthcare ... as Airflow, Dagster, or Temporal. * Hands-on experience with AWS data and compute services ...

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Working closely with business units, engineers, and functional teams, you will leverage applied AI ... Experience with data platforms and tooling such as Pandas, Spark, Airflow, dbt, or similar ...

Showing results 41-60

Airflow Engineer information

See Raleigh, NC salary details

$12

$54

$78

How much do airflow engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for airflow engineer in Raleigh, NC is $54.43, according to ZipRecruiter salary data. Most workers in this role earn between $39.04 and $72.45 per hour, depending on experience, location, and employer.

What is the difference between Airflow Engineer vs Data Engineer?

AspectAirflow EngineerData Engineer
CredentialsOften requires knowledge of Python, SQL, and cloud platformsRequires similar skills plus database management and ETL experience
Work EnvironmentFocuses on designing and maintaining workflows in data pipelinesBuilds and manages data infrastructure and pipelines
Industry UsageCommon in data-driven companies, analytics teams, and cloud servicesUsed across industries for data integration, storage, and processing

While both roles involve data workflows, an Airflow Engineer specializes in creating and managing workflows using Apache Airflow, whereas a Data Engineer handles broader data infrastructure and pipeline development. The roles often overlap, but the Airflow Engineer focuses more on workflow orchestration within the data ecosystem.

What are popular job titles related to Airflow Engineer jobs in Raleigh, NC?

For Airflow Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Airflow Engineer jobs in Raleigh, NC look for?

The top searched job categories for Airflow Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Airflow Engineer jobs?

Cities near Raleigh, NC with the most Airflow Engineer job openings:

Infographic showing various Airflow Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $113,212 per year, or $54.4 per hour.

Software Engineer - Cloud Platform / Reliability

NetApp

Morrisville, NC

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago


NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 500 rated business services


Job description

Job Summary

We are seeking a Software Engineer to design, build, and maintain scalable cloud-based platforms and services. This role combines software development with platform reliability and automation, focusing on building resilient distributed systems, improving operational efficiency through automation, and ensuring high availability and performance of cloud infrastructure. The engineer will collaborate with senior engineers and crossfunctional teams to develop software, infrastructure tooling, and observability capabilities that support internal and external customers.  

Responsibilities 
Design, develop, test, and maintain software components and services for cloud computing platforms. 
Translate business and client requirements into technical specifications and scalable software solutions. 
Build and enhance scalable distributed systems and platform services running in cloud and containerized environments. 
Develop automation and infrastructure tooling using languages such as Python, Shell, or similar technologies to support deployments, validation, and operational workflows. 
Implement and maintain containerized workloads and orchestration platforms such as Kubernetes (including onprem and Rancher Kubernetes environments). 
Contribute to CI/CD pipeline development to enable reliable, automated software delivery and infrastructure updates. 
Implement monitoring, logging, and observability solutions using tools such as Dynatrace and Grafana to ensure system health, performance, and reliability. 
Manage and optimize Linux-based environments (RHEL/CentOS), including performance tuning and troubleshooting. 
Design and automate operational tasks and scheduling processes using tools such as cron and Airflow. 
Work with SQL and NoSQL databases to support application functionality, performance optimization, and reliability. 
Deploy and operate services in cloud environments, particularly AWS, ensuring scalability, performance, and cost efficiency. 
 Participate in incident response, root cause analysis, and reliability improvements to maintain highly available systems. 
 Utilize modern AI/ML and Generative AI tools where appropriate to enhance automation, system insights, and operational efficiency. 
Collect and analyze operational and user experience data from cloud platforms and provide insights and reports to engineering and management teams. 
Collaborate closely with engineering, operations, and product teams to continuously improve platform capabilities and user experience. 

Job Requirements

 Experience in software engineering, cloud platform engineering, site reliability engineering, or a related field. 
Strong programming or scripting skills (e.g., Python, Shell, or similar) with a focus on automation and system tooling. 
Experience developing and supporting distributed or cloud-based applications. 
Solid experience with Linux systems administration (RHEL/CentOS), including troubleshooting and performance optimization. 
Experience working with containerization and orchestration technologies such as Kubernetes. 
Familiarity with CI/CD pipelines and modern software delivery practices. 
Experience with observability and monitoring tools such as Dynatrace, Grafana, or similar platforms. 
Working knowledge of SQL and NoSQL databases. 
Experience with public cloud platforms, preferably AWS. 
Strong analytical, debugging, and problem-solving skills. 
Experience applying automation, data-driven insights, or AI/ML tools to improve system performance or engineering workflows is a plus. 
 Strong communication and collaboration skills in cross-functional engineering environments. 

Education & Experience

Typically requires a Bachelor of Science Degree in Electrical Engineering or Computer Science with 2+ years related experience; a Masters degree in Electrical Engineering or Computer Science with 0+ years related experience; or equivalent experience.

Compensation:
The target salary range for this position is 113,050 - 168,300 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. 


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About NetApp

Sourced by ZipRecruiter

The NetApp portfolio of leading data, application, and storage solutions helps organizations manage applications and data everywhere across hybrid multicloud environments. Our 30 years of innovation have made us the proven leader in all-flash storage. We have the only enterprise-grade storage OS available natively on the world’s biggest public clouds. Our data services offer the best security and protection in the industry. We have CloudOps services that will revolutionize how you work in the cloud. And that’s just scratching the surface. In a world of hybrid multicloud complexity, we envision a better IT experience—an evolved cloud state where on-premises and cloud environments are united as one, always delivering simplicity, security, savings, and sustainability. To get you there, we build solutions that drive faster innovation wherever your data and applications live, with unified management and AI-driven optimization. No walled gardens. No lock-in. You get the freedom to do what’s best for your business today and the flexibility to adapt to whatever tomorrow throws at you.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Sunnyvale, CA, US