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Flink Jobs in Alberta (NOW HIRING)

DataVisor

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

Kafka, Flink) Requirements * 5+ years software development experience * 5+ years experience in Java, Shell, Python development * Excellent knowledge of Relational Databases, SQL and ORM technologies ...

Clio

Senior Data Platform Engineer

Calgary, AB

Data pipeline engineering experience with Apache Spark, Flink, or cloud-native data processing services * API and integration design for enabling secure access to log data across multiple consumer ...

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Flink information

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 are popular job titles related to Flink jobs in Alberta?

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

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

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

Flink jobs near you
Infographic showing various Flink job openings in Alberta as of August 2026, with employment types broken down into 48% Full Time, and 52% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Senior Software Engineer - Canada

DataVisor

Calgary, AB • Remote

CA$120K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

Summary:

As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.

As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.

We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space.

What you'll do:

  • Design and build machine learning systems that process data sets from the world's largest consumer services
  • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
  • Build and optimize systems, tools, and validation strategies to support new features
  • Help design/build distributed real-time systems and features
  • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
  • Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)

Requirements

  • 5+ years software development experience
  • 5+ years experience in Java, Shell, Python development
  • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
  • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
  • Experience in the Spring Framework is a plus
  • Experience with test-driven development is a plus
  • Preferred based in Calgary, but could be a fully remote position

Benefits

Compensation: Annual salary range of CAD $120,000 - $150,000, commensurate with experience.

Canada Life Policy

Health Insurance including (Extended Health Care, Vision Care, and Dental Care)

Life Insurance, Accidental Insurance

Retirement Savings Plan

Paid Vacation

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