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Data Engineer Flink Jobs in Portland, OR (NOW HIRING)

Data Engineer Flink information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data engineer flink jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer flink in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What is a data engineer Flink?

A Data Engineer Flink is a data engineering professional who specializes in using Apache Flink, an open-source stream processing framework, to build, maintain, and optimize systems that process large-scale data in real time. They design and implement data pipelines, ensure data quality and consistency, and collaborate with other engineering teams to deliver reliable and scalable data solutions. Their expertise allows organizations to process, analyze, and react to data as it is generated, enabling real-time insights and decision-making.

What are the key skills and qualifications needed to thrive as a data engineer Flink?

To thrive as a Data Engineer specializing in Flink, you need strong programming skills (especially in Java or Scala), a solid understanding of distributed data processing, and experience with data architecture. Familiarity with Apache Flink, stream processing frameworks, big data tools (like Kafka, Hadoop, or Spark), and cloud platforms is typically required, along with relevant certifications. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help you excel in complex data environments. These competencies are crucial for building reliable, scalable data pipelines that power real-time analytics and business decision-making.

What are some common challenges data engineers face when working with Apache Flink in a production environment?

Data Engineers working with Apache Flink often encounter challenges such as managing stateful stream processing at scale, ensuring fault tolerance, and optimizing resource usage for real-time data pipelines. Handling late-arriving data and tuning Flink jobs for low latency and high throughput are also frequent hurdles. Collaborating closely with data scientists and application developers is key to aligning data models and ensuring smooth data flow throughout the system.

Are data engineers still in demand?

Data engineers, including those skilled in Apache Flink, are in high demand due to the increasing need for real-time data processing and scalable data infrastructure. Organizations seek professionals with expertise in big data tools, cloud platforms, and programming languages like Java or Scala to build and maintain data pipelines. The role is expected to grow as data-driven decision-making becomes more critical across industries.

What job categories do people searching Data Engineer Flink jobs in Portland, OR look for?

The top searched job categories for Data Engineer Flink jobs in Portland, OR are:

Infographic showing various Data Engineer Flink job openings in Portland, OR as of June 2026, with employment types broken down into 67% Full Time, 31% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Very Fast Moving requirement : Data Engineer || Portland, OR

Avani Technology Solutions, Inc.

Portland, OR • On-site

$120K - $144K/yr

Full-time

Re-posted 29 days ago


Job description

To My Data Engineer,
Please find the immediate requirement with quick interview and feeback.
Job Title: Data Engineer
Location: Portland, OR
Duration: 12 Months

Job Description:
  • Design and implement distributed data processing pipelines using Spark, Hive, Python, and other tools and languages prevalent in the Hadoop ecosystem. Ability to design and implement end to end solution.
  • Experience publishing RESTful API's to enable real-time data consumption using OpenAPI specifications
  • Experience with open source NOSQL technologies such as HBase, DynamoDB, Cassandra
  • Familiar with Distributed Stream Processing frameworks for Fast & Big Data like ApacheSpark, Flink, Kafka stream
  • Build utilities, user defined functions, and frameworks to better enable data flow patterns.
  • Work with architecture/engineering leads and other teams to ensure quality solutions are implements, and engineering best practices are defined and adhered to.
  • Experience in Business Rule management systems like Drools

Best Regards,
Rajeev
Phone: 585-532-7200 Ext: 9016
Email: rajeev.b@avanitechsolutions.com