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Apache Flink Jobs (NOW HIRING)

Apache Flink Hands-on expertise in building and maintaining Flink pipeline jobs for data processing and analytics. This is the core skill; the candidate will function as the team's subject matter ...

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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 ...

Technology Architect | Java | Apache

Phoenix, AZ · On-site

$62.50 - $84.50/hr

They are seeking an experienced Lead Kafka/Flink Developer to design, build, and support scalable ... as Apache Kafka, Apache Flink, and related event-driven technologies. • Designing and ...

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Apache Flink information

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How much do apache flink jobs pay per hour?

As of Jul 16, 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 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 are the key skills and qualifications needed to thrive as an Apache Flink Developer, and why are they important?

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 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 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 July 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,958 per year, or $60.1 per hour.
Apache Flink and IBM Streams

Apache Flink and IBM Streams

Ruri Software Technologies LLC

Dallas, TX • On-site

$113K - $136K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Apache Flink and IBM Streams
Duration: 8+ months
Location: Tampa/ Atlanta/Dallas/NJ (Hybrid) Only Local Profiles
IBM Streams
  • Understand the IBM Stream Processing Language (SPL)
  • Hands-on exp in IBM Domain Manager; Streams Console; and Streams Studio to edit and understand the current pipelines
  • Understand tuples, data streams, operators, processing elements (PEs), and jobs.
  • Hands-on exp in Streaming Data Flow jobs creation over GCP using Custom Templates
  • Constructing the Apache Beam-based templates that help to deploy over the GCP Data Flow
  • Hands-on exp in constructing the High volume Pipelines in GCP and tuning them to reach their max throughput (millions of records/min)
  • Able to create the CI/CD pipelines to deploy over the GCP composer
  • Knowledge about GCS, BigQuery, and Cloud Functions

Flink - As per the latest discussion it is not much required to know the person about Flink (will update few more details once I discuss it with the Technical team)
  • Hands-on exp in constructing real-time event data consumption and transformation pipelines over the GCP that consumes data from Pubsub
  • Hands-on exp in Streaming Data Flow jobs creation over GCP using Custom Templates,
  • Able to create Java-based Data pipeline creation using Apache Beam (Python knowledge required)
  • Constructing the Apache Beam-based templates that help to deploy over the GCP Data Flow
  • Knowing the Apache Flink is an added advantage.
  • Capturing metrics to measure the Pipelines' throughput and peak capacity
  • Able to create the CI/CD pipelines to deploy over the GCP Composer(Airflow)
  • Knowledge about GCS, BigQuery, and Cloud Functions