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Flink Jobs in Texas (NOW HIRING)

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 ...

Senior Kafka & Flink Engineer (AWS)

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Devops Engineer

San Antonio, TX

$47.50 - $65.25/hr

AWS managed Apache Flink * Amazon EC2, S3, RDS, and VPC * Terraform/CloudFormation * Docker, Kubernetes (EKS) * Elk, CloudWatch * Python, Bash Skills and Expertise: * AWS Managed Services:

Responsibilities : • Develop and maintain Apache Flink pipeline jobs for data processing and analytics. • Assist in defining and managing infrastructure using Terraform. • Develop and maintain ...

Devops Engineer

San Antonio, TX · On-site

$47.50 - $65.25/hr

In addition, if the candidate has worked on deploying streaming platforms such as Kafka and Flink that will be ideal or preferable. Must-Have Skills: Extensive experience (5+ years) with I ...

AWS Java Lead

San Antonio, TX · On-site

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and maintain Apache Flink pipeline jobs for data processing and analytics. • Collaboration:Work collaboratively with senior engineers, product managers, and other stakeholders throughout ...

Confluent Kafka Solution Architect

Mesquite, TX · On-site

$57.25 - $75.50/hr

Experience with Apache Flink, Stream Governance, Data Lineage, RBAC, and Audit Logs. * Proficiency in Java, Python, or Scala. * Experience integrating Kafka with databases, APIs, and microservices.

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Flink information

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How much do flink jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for flink in Texas is $53.81, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $62.69 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.

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 job categories do people searching Flink jobs in Texas look for?

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

What cities in Texas are hiring for Flink jobs?

Cities in Texas with the most Flink job openings:

Infographic showing various Flink job openings in Texas as of August 2026, with employment types broken down into 51% Full Time, and 49% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $111,918 per year, or $53.8 per hour.

Flink with DataStreams API

Resource Point LLC

Dallas, TX • On-site

Contractor

Re-posted 3 days ago


Job description

Position: Flink with DataStreams API

Duration: 6+ Months

Location: Dallas, TX

Proficient in writing and supporting both functional and non-functional aspects of Flink with DataStreams API.

Flink Functional Requirements:

  • Expertise in Flink APIs (DataStream, Process functions, etc.).
  • Competence in state management (checkpoints and savepoints) with local storage.
  • Configuration of connectors like EventHub, Kafka, and MongoDB.
  • Implementation of Flink API Aggregators.
  • Handling watermarks for out-of-order events.
  • Management of state using Azure Data Lake Storage (ADLS).

Flink Non-Functional Requirements:

  • Set up a private Flink cluster within a designated AKS environment.
  • Configure both session-based and application-type deployments.
  • Define and build nodes and slots.
  • Manage and configure Job/Task Managers.
  • Establish necessary connectors, e.g., external storage for the Flink Cluster.
  • Configure heap memory and RocksDB for state management.
  • Define and set up checkpoints and savepoints for state recovery.
  • Enable Auto-Pilot capabilities.
  • Integrate network resources, such as Azure EventHub and external databases like MongoDB.
  • Implement integration with ArgoCD for job submissions.
  • Install LTM agents for logging and Dynatrace agents for monitoring purposes.
  • Provide access to the Flink Dashboard.
  • Establish High Availability (HA) and Disaster Recovery (DR) configurations.
  • 10 years of hands-on design and java coding experience in back-end system development.
  • 5 years hands-on experience with Kafka, Flink, Cloud, Unit/Functional/Integration testing, SQL or kSQL, Java, Github Actions, Dynatrace, Code scanner, and MongoDB.