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Flink Jobs (NOW HIRING)

Weekday AI

Flink Leader

As a Flink Leader, you will play a critical role in architecting next-generation streaming platforms and enabling real-time analytics capabilities for enterprise-scale applications. You will mentor ...

Whiztek Corp

Python Developer (Apache Flink)

Chicago, IL · On-site

$51.75 - $71.50/hr

Python Developer with Apache Flink Location: Chicago, IL (Hybrid - 2-3 Days/Week Onsite) Duration: Long-Term Contract Job Summary We are seeking an experienced Python Developer with strong Apache ...

Zortech Solutions

Java Flink with Datastream API

Dallas, TX · On-site

$50.50 - $65.25/hr

Job Title Flink with Datastream API Location Dallas, TX, partial remote role Requirements for Resource: * Proficient in writing and supporting both functional and non-functional aspects of Flink with ...

Whiztek Corp

Senior Data Engineer (Apache Flink)

Chicago, IL · On-site

$118K - $141K/yr

Build and optimize Apache Flink streaming jobs (Java or Scala) for real-time transformation, deduplication, and event correlation * Implement event-time processing using watermarks to correctly ...

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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.
More about Flink jobs
What cities are hiring for Flink jobs? Cities with the most Flink job openings:
What states have the most Flink jobs? States with the most job openings for Flink jobs include:
What job categories do people searching Flink jobs look for? The top searched job categories for Flink jobs are:
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.

Flink Leader

Weekday AI

Remote

Full-time

Re-posted 17 hours ago

Job description

This role is for one of the Weekday's clients
Min Experience: 8 years
Location: United States
JobType: full-time
We are seeking an experienced and dynamic Flink Leader to drive the design, development, and delivery of large-scale real-time data processing solutions. 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 strategic thinker who can lead complex streaming data initiatives while collaborating closely with cross-functional stakeholders to deliver scalable, reliable, and high-performance solutions.
As a Flink Leader, you will play a critical role in architecting next-generation streaming platforms and enabling real-time analytics capabilities for enterprise-scale applications. You will mentor engineers, define technical roadmaps, establish best practices, and ensure the successful execution of data engineering projects.
Requirements
Key Responsibilities
  • Lead the architecture, development, and optimization of real-time streaming applications using Apache Flink.
  • Design scalable and fault-tolerant distributed systems capable of handling high-volume data streams.
  • Manage and mentor engineering teams, ensuring technical excellence, collaboration, and continuous learning.
  • Drive end-to-end project delivery including requirement analysis, solution design, development, deployment, and production support.
  • Collaborate with product managers, architects, DevOps teams, and business stakeholders to define technical solutions aligned with organizational goals.
  • Develop robust applications and services using Java and modern backend engineering practices.
  • Implement data processing pipelines, stream analytics, event-driven architectures, and real-time monitoring solutions.
  • Ensure system reliability, scalability, performance tuning, and operational efficiency across distributed environments.
  • Establish coding standards, review code quality, and promote engineering best practices.
  • Lead troubleshooting and root-cause analysis for production issues in streaming and distributed systems.
  • Contribute to technology strategy, innovation initiatives, and continuous platform improvements.
  • Support hiring, team building, and capability development for streaming data engineering teams.
Required Skills
  • Strong hands-on expertise in Apache Flink and stream processing architectures.
  • Excellent programming experience in Java with strong understanding of multithreading, concurrency, and distributed systems.
  • Proven experience leading engineering teams and managing large-scale technical programs.
  • Strong knowledge of real-time data processing, event streaming, and microservices architecture.
  • Experience with distributed messaging systems such as Kafka.
  • Understanding of big data ecosystems and cloud-native technologies.
  • Expertise in performance optimization, scalability, and high-availability system design.
  • Strong problem-solving, stakeholder management, and communication skills.
  • Experience working in Agile and fast-paced engineering environments.
Good to Have Skills
  • Experience with Spark, Hadoop, or other big data technologies.
  • Exposure to cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.
  • Experience with CI/CD pipelines and DevOps practices.
  • Familiarity with monitoring and observability tools.
Experience & Qualifications
  • 8 to 18 years of overall IT experience with significant expertise in data engineering and streaming technologies.
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Demonstrated experience leading enterprise-scale real-time data platform implementations.

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