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Flink Jobs (NOW HIRING)

Weekday AI

Flink Manager

$54 - $74/hr

United States JobType: full-time As a Flink Manager, you will be responsible for driving real-time streaming initiatives, managing high-performing engineering teams, and architecting scalable data ...

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 ...

ClifyX

Sr Kafka/Flink Developer

Phoenix, AZ · Hybrid

$119K - $155K/yr

Sr Kafka/Flink Developer Location: Phoenix, AZ - Hybrid Employment Type: Contract Duration: 12+ Months We are seeking an experienced Lead Kafka/Flink Developer to design, build, and support scalable ...

P2PSoftTek Inc

Sr. Kafka/ Flink Developer

Dallas, TX

$119K - $155K/yr

Job role: Sr Kafka/Flink Developer Location: Dallas, TX or Phoenix, AZ We are seeking an experienced Lead Kafka/Flink Developer to design, build, and support scalable enterprise and cloud-native ...

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 ...

P2PSoftTek Inc

Sr Kafka/Flink Developer

Dallas, TX

$119K - $155K/yr

Sr Kafka/Flink Developer Location: Dallas or Phoenix We are seeking an experienced Lead Kafka/Flink Developer to design, build, and support scalable enterprise and cloud-native applications. The ...

VDart

Java with Flink

San Leandro, CA

$56.50 - $73/hr

San Leandro Local Candidate Face to face Client Interview is MUST Flink technical, practical knowledge, which is a mandatory skill as per customer for DTI requirement Role: Senior Software Engineer ...

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 ...

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 ...

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How much do flink jobs pay per hour?

As of Jun 20, 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 is Flink and how does it work?

Flink is an open-source stream processing framework used in data engineering jobs to build real-time data pipelines and analytics applications. It processes data continuously with low latency by executing computations across distributed clusters, often requiring knowledge of Java or Scala and familiarity with distributed systems concepts.

How do I quit Flink?

To quit a Flink job, you can cancel it using the Flink CLI or dashboard by issuing a cancel command or clicking the cancel button. Ensure you have the necessary permissions and that the job is not critical before stopping it. Properly shutting down helps prevent data loss and maintains cluster stability.

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.

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 refers to a program or application built using Apache Flink, a framework for processing streaming and batch data. It involves defining data sources, transformations, and sinks, and is executed on a Flink cluster. Developing Flink jobs typically requires knowledge of Java or Scala and understanding of distributed data processing concepts.

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 (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.

Does Flink give you a bike?

Flink is a job role related to Apache Flink, a stream processing framework, and does not provide bikes or other physical benefits. Compensation typically includes salary and benefits, but bikes are not standard or provided as part of the job package. Job seekers should review specific company offerings for additional perks.
More about Flink jobs
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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

Flink Manager

Weekday AI

Remote

$54 - $74/hr

Full-time

Posted 23 days ago

Job description

This role is for one of the Weekday's clientsa
Salary range: Rs 10000000 - Rs 40000000 (ie INR 100 - 400 LPA)Min Experience: 8 years
Location: United States
JobType: full-time
As a Flink Manager, you will be responsible for driving real-time streaming initiatives, managing high-performing engineering teams, and architecting scalable data solutions that power mission-critical business applications. You will collaborate closely with product, analytics, infrastructure, and leadership teams to translate business requirements into resilient streaming architectures.
Requirements
Key Responsibilities
  • Lead the design, development, and deployment of real-time data processing pipelines using Apache Flink.
  • Architect scalable, fault-tolerant, and low-latency streaming systems leveraging Flink's DataStream and Table APIs.
  • Manage end-to-end lifecycle of Flink applications including development, testing, optimization, monitoring, and production support.
  • Drive best practices for state management, checkpointing, windowing, event-time processing, and fault tolerance in Flink.
  • Optimize Flink job performance, resource allocation, and cluster tuning for high-throughput environments.
  • Oversee integration of Flink with distributed systems such as Kafka, data lakes, warehouses, and microservices.
  • Lead and mentor a team of data engineers, conducting code reviews and enforcing engineering excellence standards.
  • Collaborate with DevOps teams to manage Flink deployments on cloud and on-prem environments.
  • Establish monitoring, logging, and alerting mechanisms for streaming pipelines to ensure high availability and reliability.
  • Contribute to roadmap planning for streaming and real-time analytics platforms.
Required Qualifications
  • 8-12 years of overall experience in data engineering, distributed systems, or backend engineering.
  • Strong hands-on expertise in Apache Flink (minimum 3-5 years preferred).
  • Deep understanding of stream processing concepts including event-time semantics, watermarking, state backends, and exactly-once guarantees.
  • Proven experience designing and managing high-throughput, low-latency Flink pipelines.
  • Strong programming skills in Java or Scala for Flink development.
  • Experience with distributed messaging systems (e.g., Kafka) and data storage systems.
  • Familiarity with cluster resource management frameworks (YARN, Kubernetes, or similar).
  • Strong debugging, troubleshooting, and performance tuning skills specific to Flink workloads.
  • Experience leading engineering teams and managing cross-functional stakeholders.
Preferred Qualifications
  • Experience deploying Flink in cloud environments (AWS, Azure, or GCP).
  • Knowledge of batch and stream unification architectures.
  • Exposure to big data ecosystems including Hadoop or Spark.
  • Understanding of CI/CD practices for streaming applications.
  • Experience implementing real-time analytics, fraud detection, personalization, or IoT streaming use cases.
Leadership Expectations
The ideal candidate is a strategic thinker and technical leader who can balance hands-on involvement with managerial responsibilities. You will champion best practices in Flink architecture, ensure production stability, and drive continuous improvement across streaming platforms.

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