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Flink Jobs in Nevada (NOW HIRING)

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$10

$58

$86

How much do flink jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for flink in Nevada is $58.81, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.56 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.
What are popular job titles related to Flink jobs in Nevada? For Flink jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Flink jobs in Nevada look for? The top searched job categories for Flink jobs in Nevada are:
What cities in Nevada are hiring for Flink jobs? Cities in Nevada with the most Flink job openings:
Flink jobs near you
Infographic showing various Flink job openings in Nevada as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $122,327 per year, or $58.8 per hour.

AVP I, Data Systems and Analytics

CreditOne

Las Vegas, NV • On-site

Full-time

Posted 10 days ago

Job description

Description
Position Summary
The AVP Data Systems and Analytics is responsible for managing and contributing to the end-to-end delivery of Data Systems & Analytics initiatives, he/she will be responsible for business analysis, technical systems analysis, design, development, and maintenance of software to support process automation, optimization, acceleration and experience. The AVP Data Systems and Analytics is a technical leader and possesses advanced technical and business knowledge and skills. The AVP Data Systems and Analytics is skilled in information management techniques, structured system development methodologies, software development tools, and change management. In this position, they must have the knowledge and ability to drive the development team to the next level of efficiency and scalability.
Summary of Essential Job Functions
  • Understands, interprets and translates development requirements into the necessary designs and documentation.
  • Determines how a system should work and how changes in conditions, operations, and the environment will affect outcomes, knowledge of products and system architecture.
  • Identifies and compiles data sets using appropriate tools to help predict, track, improve, and measure the success of key digital features and projects.
  • Responsible for documenting data requirements, data collection / processing / cleaning, and exploration data analysis, which may include utilizing statistical models / algorithms and data visualization techniques.
  • Must have the ability to create dashboards and analyze insights to help business performance in various reporting domains.
  • Work hands-on whenever needed as we are a growing team, and additional resources may not always be available
  • Knowledge of architectural, design, and coding best practices, including the ability to devise, defend, and communicate them to developer teams.
  • Triage techno-functional issues and facilitate resolution by assembling required teams.
  • Demonstrate understanding of various software delivery methodologies (waterfall, iterative, Agile), when and how to implement them successfully, and their respective pros and cons.
  • Work with platform squads to define engineering standards, best practices, and tooling required for the team.
  • Stay ahead of the curve by aligning architecture, user experience, and security with chapters and COEs.
  • Partner with product, technology, program management, and other stakeholders to prioritize and plan roadmap items.
  • Collaborate with cross-functional technology and product teams to build, test, and deploy products.
  • Identify opportunities to improve productivity and quality.
  • Serve as a mentor, technical leader, and thought leader for a talented team by challenging them and helping them grow.
  • Perform other duties as assigned.

Position Requirements
  • Bachelor's degree in computer science or equivalent industry working experience.
  • 12+ years of working experience in IT Organizations
  • At least 6 years of software development experience, preferably in Data Engineering (ELT/ETL, Visualization, Modelling etc.)
  • Broad understanding of different technology patterns (Batch frameworks, API, Event-driven systems, Databases)
  • Experience with SQL & NoSQL databases (Oracle, Postgres, Elasticsearch, Cassandra, DynamoDB, Snowflake etc.) and file systems like Avro, Parquet etc.
  • Experience with Kafka, Storm, Airflow, Flink & Logstash
  • Experience with analytics & visualization tools like Tableau, Superset, Kibana, Hive, Spark etc.
  • Experience in Agile Methodology for software development.
  • Proficient in verbal and written communication, creating reports and presentations to senior executives.
  • Experienced in using MS Office tools, JIRA, or other collaboration tools.
  • Experienced People management and performance management
  • Strong communication skills and collaboration skills to communicate to different audiences (technology leadership, business leadership, team members, etc.) appropriately.
  • Strong understanding of ITL framework and experience in change management, and problem management.

Preferred
  • Master's degree in computer science or equivalent industry working experience.
  • Understanding/Experience of AI ecosystem like (RAG, Agentic AI, and LLM's)
  • Working on Open-Source Data Technologies like Minio, Doris, Feast etc.
  • Technology certifications (AWS, Snowflake, Spark etc.)

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

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