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Flink Leader

The ideal candidate will have deep expertise in Apache Flink, strong Java programming skills, and proven leadership experience managing high-performing engineering teams. This role requires a ...

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How much do apache flink jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for apache flink in the United States is $60.08, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $72.12 per hour, depending on experience, location, and employer.

What is Apache Flink?

Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications. It is designed to process unbounded and bounded data streams and provides powerful capabilities for real-time analytics, event-driven applications, and batch processing. Flink is widely used for its scalability, low latency, and fault tolerance, making it a popular choice for big data and real-time data processing tasks.

What are the key skills and qualifications needed to thrive as an Apache Flink developer?

To thrive as an Apache Flink Developer, you need strong programming skills in Java or Scala, a solid understanding of distributed systems, and experience with real-time data processing, often supported by a degree in computer science or a related field. Familiarity with Flink APIs, stream processing frameworks, and tools like Kafka, Hadoop, and cloud platforms is typically required. Problem-solving ability, attention to detail, and effective teamwork are valuable soft skills for success in this role. These competencies ensure efficient development, deployment, and maintenance of robust streaming data applications, enabling organizations to process and analyze data in real time.

What are some common challenges faced by Apache Flink developers when working on real-time data processing projects?

Apache Flink Developers often encounter challenges such as managing stateful streaming applications, ensuring fault tolerance, and scaling jobs to handle high-throughput data streams. Debugging and monitoring distributed Flink jobs can also be complex, requiring familiarity with Flink’s tooling and metrics. Collaboration with data engineers and DevOps teams is essential to optimize performance and maintain the reliability of streaming pipelines.

What is the difference between Apache Flink vs Apache Spark Developer?

AspectApache FlinkApache Spark Developer
Primary FocusReal-time stream processingBatch and stream processing
Work EnvironmentDistributed data processing systems, often in real-time applicationsBig data analytics, batch jobs, and some streaming
Required SkillsJava, Scala, streaming concepts, distributed systemsJava, Scala, SQL, big data frameworks
Industry UsageFinance, IoT, real-time analyticsData warehousing, analytics, machine learning

Apache Flink and Apache Spark Developers both work with big data frameworks, but Flink specializes in real-time stream processing, while Spark covers both batch and streaming tasks. Choosing between them depends on the specific data processing needs of the organization.

Infographic showing various Apache Flink job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 2% Part Time, and 10% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $124,958 per year, or $60.1 per hour.

Software Development Engineer - Apache Flink Engineer, Amazon Managed Service for Apache Flink

Socket.dev

Seattle, WA • On-site

$143.70 - $194.40/hr

Other

Medical, Retirement, PTO

Posted 15 days ago

Job description

Software Development Engineer – Apache Flink Engineer, Amazon Managed Service for Apache Flink

Job ID: 10453305 | Amazon.com Services LLC

Come change the way the world processes streaming data. The Amazon Managed Service for Apache Flink (MSF) team is looking for a Software Development Engineer to work on the Apache Flink framework. We are looking for engineers who can learn and build distributed stream processing engines, are enthusiastic about data streaming, and excited to contribute to open source.

In this role you will:

  • Improve the stream processing engine, Apache Flink, to make MSF the defacto service for stream processing applications.
  • Maintain upstream compatibility and contribute changes back to the open‑source community.
  • Enhance efficiency and availability of the engine, add ease‑of‑use features and push the envelope of stream processing.
  • Write high‑quality, reusable code for highly scalable and reliable cloud‑based services.
  • Work closely with product and development management to architect the service.
  • Champion operational excellence by insisting on the highest standards.
  • Continuously improve service reliability and availability through code.
On‑Call Responsibility

This position involves on‑call responsibilities, typically for one week every two months. Paged calls are managed with a focus on fault tolerance and root‑cause resolution to prevent recurrence.

Basic Qualifications
  • 3+ years of non‑internship professional software development experience.
  • 2+ years of non‑internship design or architecture experience (design patterns, reliability, scalability).
  • Experience in one or more software programming languages.
Preferred Qualifications
  • 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Bachelor’s degree in computer science or equivalent.
  • Experience with data‑processing technologies such as Apache Flink, Apache Spark, Apache Storm, or Hadoop frameworks is a plus.

Salary range: 143,700.00 – 194,400.00 USD annually (Seattle, WA, USA).

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Amazon also offers comprehensive benefits, including health insurance, 401(k) matching, paid time off, and parental leave. Learn more at https://amazon.jobs/en/benefits.

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