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Apache Nifi Developer information

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$61

$79

How much do apache nifi developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for apache nifi developer in the United States is $61.49, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.03 per hour, depending on experience, location, and employer.

What is the difference between Apache Nifi Developer vs Data Engineer?

AspectApache Nifi DeveloperData Engineer
Required SkillsApache Nifi, data integration, ETL processesSQL, data pipelines, big data tools
CertificationsNone specific, often cloud or data-related certificationsData engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentData integration projects, real-time data flowsData architecture, large-scale data systems
Industry UsageData integration, ETL workflowsData warehousing, analytics, big data

While both roles involve working with data, an Apache Nifi Developer specializes in designing and maintaining data flows using Apache Nifi, focusing on real-time data integration. A Data Engineer has a broader scope, building and managing large-scale data systems and pipelines across various tools and platforms. The roles often overlap but differ mainly in scope and specific technical focus.

Is Apache NiFi still used?

Apache NiFi is still widely used in data integration and workflow automation roles, especially for real-time data processing and ETL tasks. As an Apache Software Foundation project, it remains actively maintained and adopted across various industries, making it a valuable skill for developers working with data pipelines and automation tools.
Infographic showing various Apache Nifi Developer job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.

Java Tech Lead (NiFi, Airflow)

Prophecy Technologies

Remote

Full-time

Posted 24 days ago

Job description

Role Name: Java Tech Lead (NiFi, Airflow)
Location: Phoenix, AZ / Raleigh, NC / Remote
Experience: 8-10 years
Job Summary
We are seeking an experienced Java Tech Lead with strong expertise in Apache NiFi and Apache Airflow to design, implement, and optimize scalable data pipelines and workflow orchestration solutions. The role involves leading data flow architecture, integrating microservices, and ensuring high performance and reliability across enterprise data platforms.
Key Responsibilities
NiFi - Data Flow Design & Management
  • Design and implement data flow solutions using Apache NiFi, including defining data sources, destinations, and transformation logic
  • Manage data ingestion from multiple sources such as files, databases, and APIs
  • Perform data transformation, enrichment, and routing to downstream systems
  • Ensure scalability, performance, and reliability of NiFi data flows
  • Maintain and manage NiFi clusters including configuration, optimization, and troubleshooting
  • Identify and resolve issues related to NiFi configurations and data integration processes

Microservices & Integration
  • Develop and integrate Java-based microservices using Spring Boot and REST APIs
  • Support data conditioning, validation, and transformation through microservices
  • Integrate event-driven and streaming architectures using Kafka

Airflow - Workflow Orchestration
  • Design and develop complex, reusable, and modular Airflow DAGs
  • Manage workflow orchestration using Airflow schedulers and executors (Celery, Kubernetes)
  • Optimize Airflow performance and address orchestration bottlenecks
  • Apply best practices for scheduling, monitoring, and dependency management

Required Skills & Experience
  • Strong expertise in Apache NiFi architecture, processors, controllers, and flow management
  • Proficiency in Java, Spring Boot, and microservices-based API development
  • Experience with Apache Airflow including DAG development and workflow orchestration
  • Hands-on experience with Kafka for event-driven and streaming architectures
  • Strong knowledge of SQL, databases, and data manipulation techniques
  • Experience designing scalable and high-performance data pipelines
  • Strong troubleshooting and problem-resolution skills

Competencies
  • Data engineering and workflow orchestration leadership
  • System design and performance optimization
  • Strong analytical and problem-solving skills
  • Ability to lead technical design and implementation discussions
  • Effective communication and collaboration skills

Apply