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Flink Jobs (NOW HIRING)

Active Soft Inc.

Java Apache Flink Developer

Reston, VA · On-site

$53 - $68.75/hr

Big Data applications on the Flink Platform using Java Thanks Regarding Kaspa Sudarshan Phone: 404-496-4368*407 Direct: 404-496-4927 Additional Information All your information will be kept ...

Active Soft Inc.

Java Apache Flink Developer

Reston, VA · On-site

$53 - $68.75/hr

Company Description Big Data applications on the Flink Platform using Java Thanks Regarding Kaspa Sudarshan Phone: 404-496-4368*407 Direct: 404-496-4927 Qualifications Additional Information All your ...

Oraapps Inc

Senior Kafka & Flink Engineer (AWS)

Austin, TX · On-site

$103K - $142K/yr

Job Title - Senior Kafka & Flink Engineer (AWS) Location - Austin , TX Duration - 12+ Months Note - This is a W-2 position, and we welcome candidates requiring H-1B transfer sponsorship to apply. No ...

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How much do flink jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for flink in the United States is $57.75, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $67.31 per hour, depending on experience, location, and employer.

What are Flink jobs?

Flink jobs are user-defined programs that run on Apache Flink, an open-source stream processing framework. These jobs process data in real-time or in batches, allowing organizations to analyze, transform, or aggregate large volumes of data efficiently. Flink jobs are written in languages like Java, Scala, or Python and can be used for a variety of applications such as event-driven analytics, real-time monitoring, and data pipeline processing. They can be deployed on clusters to handle large-scale data processing with low latency and high throughput.

How to start a Flink job?

To start a Flink job, you need to package your application as a JAR file and submit it to a Flink cluster using the command line interface, typically with the 'flink run' command. Ensure your environment is set up with Java and Flink installed, and that your job code is properly configured for the cluster environment. Monitoring and debugging can be done through Flink's web dashboard or logs.

What is the difference between Flink vs Kafka Streams?

AspectFlinkKafka Streams
Primary UseDistributed stream processing framework for large-scale data processingClient library for real-time stream processing within Kafka
Deployment EnvironmentCluster-based, supports standalone and cloud deploymentsEmbedded within Java applications, runs on client machines
ComplexityRequires setup of cluster and infrastructureSimpler to integrate with existing Kafka setup
Use CasesComplex event processing, large-scale analyticsReal-time data transformation, lightweight processing

Flink and Kafka Streams are both popular stream processing tools, but Flink is suited for large-scale, complex processing across clusters, while Kafka Streams is ideal for lightweight, real-time processing within Kafka environments. Your choice depends on processing complexity and deployment needs.

What are some common challenges faced by Apache Flink developers and how can they be overcome?

Apache Flink developers often encounter challenges such as handling stateful stream processing at scale, ensuring low-latency data flows, and managing the complexities of distributed systems. Addressing these issues typically involves careful job design, leveraging Flink's checkpointing and state management features, and optimizing resource allocation. Collaborating closely with DevOps and data engineering teams can also help in troubleshooting deployment and performance bottlenecks, ensuring smooth operation in production environments.

What is a Flink job?

A Flink job is a program written using Apache Flink, an open-source framework for distributed stream and batch data processing. It involves defining data sources, transformations, and sinks to process large-scale data in real-time or batch mode, often requiring knowledge of Java or Scala and familiarity with Flink's APIs and environment.

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 (typically in Java or Scala), a solid understanding of distributed systems, and experience with real-time data processing frameworks, preferably backed by a relevant degree in computer science or engineering. Familiarity with Flink’s APIs, stream processing concepts, and integration with tools like Kafka, Hadoop, or AWS, as well as certifications in big data technologies, are highly valuable. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with teams and troubleshooting complex data workflows. These skills are crucial for building scalable, reliable, and efficient data pipelines that drive real-time analytics and business decisions.

What does Flink do?

A Flink job involves developing and maintaining real-time data processing applications using Apache Flink, an open-source stream processing framework. It requires skills in Java or Scala, understanding of distributed systems, and familiarity with data streaming concepts to efficiently process large-scale data in real-time environments.
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Flink jobs near you
Infographic showing various Flink job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $120,128 per year, or $57.8 per hour.

Apache Flink and IBM Streams

Ruri Software Technologies LLC

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 18 days ago

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

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