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Flink Jobs in Georgia (NOW HIRING)

US Bank

Lead Platform Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Design and implement CDC streaming pipelines (Flink) and batch ELT pipelines (Spark) * Own Kubernetes deployment patterns - Helm charts, pod templates, resource tuning on AKS * Build and maintain the ...

Neptune

Senior Data Engineer - Technology

Duluth, GA · On-site

$97K - $132K/yr

The longer-term vision: help us evolve from batch-oriented processing toward near real-time analytics using stream processing technologies like Apache Flink and ClickHouse, among others. You will be ...

Cloudera

Solutions Engineer - East Coast

Atlanta, GA · On-site

You may have experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications * You have some basic software development experience in Java, Scala or ...

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in * Proficient with ...

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site

$145K - $175K/yr

Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in * Proficient with ...

Cargill

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Knowledge of streaming architectures and tools (Kafka, Flink). * DATA MODELING: Strong background in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue ...

American Unit, Inc.

Senior Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Experience in messaging/streaming platforms like IBM MQ, ActiveMQ, Apache Flink, etc. Thanks & Regards Nick Technical Recruiter American Unit Inc Tel: 214-764-5009 Email: Nick@americanunit.com

New

Cargill

Data Engineer

Atlanta, GA

$110K - $132K/yr

Knowledge of streaming architectures and tools (Kafka, Flink). * DATA MODELING:Strong background in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue ...

Cargill

Data Engineer

Atlanta, GA · On-site

$113K - $136K/yr

Knowledge of streaming architectures and tools (Kafka, Flink). * DATA MODELING: Strong background in data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue ...

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How much do flink jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for flink in Georgia is $48.77, according to ZipRecruiter salary data. Most workers in this role earn between $41.01 and $56.83 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.

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 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 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.

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 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.

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 popular job titles related to Flink jobs in Georgia?

For Flink jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Flink jobs in Georgia look for?

The top searched job categories for Flink jobs in Georgia are:

What cities in Georgia are hiring for Flink jobs?

Cities in Georgia with the most Flink job openings:

Flink jobs near you
Infographic showing various Flink job openings in Georgia as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $101,434 per year, or $48.8 per hour.

Real-Time Analytics Engineer (Flink, Kafka) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Real-Time Analytics Engineer (Flink, Kafka)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Real-Time Analytics Engineer to build and manage real-time data processing systems using Apache Flink and Kafka. This role focuses on delivering event-driven analytics solutions with Python, Scala, or Java for low-latency insights.
Key Responsibilities
  • Develop real-time analytics pipelines using Apache Flink and Kafka for event-driven data processing.
  • Implement and optimize data workflows to support low-latency analytics and business intelligence.
  • Design Kafka-based event streaming systems to handle high-throughput data flows.
  • Write efficient code in Python, Scala, or Java to process and analyze streaming data.
  • Collaborate with data teams to integrate real-time analytics into broader data platforms.
  • Monitor and troubleshoot streaming pipelines to ensure performance and reliability in production.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Real-Time Analytics Engineer with a focus on Apache Flink and Kafka.
  • Proficiency in building event-driven systems for real-time analytics using Python, Scala, or Java.
  • Experience with Kafka for event streaming and its integration with analytics frameworks like Flink.
  • Strong understanding of real-time data processing and distributed systems design.

Preferred Qualifications
  • Familiarity with cloud-based streaming services like AWS Kinesis or GCP Dataflow for analytics workloads.
  • Exposure to advanced Flink features like stateful processing or complex event processing (CEP).
  • Knowledge of monitoring tools like Grafana for real-time analytics observability.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Apache Flink, Kafka, Event-Driven, Real-Time Analytics, Python, Scala, Java

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