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Data Engineer Flink Jobs in Bothell, WA (NOW HIRING)

Rippling

Staff Software Engineer - Data Cloud

Seattle, WA · On-site

$150 - $200/hr

The Data Cloud team is building an end-to-end analytics and business intelligence system for our ... Bonus Points: for contributing to open-source projects (Apache Iceberg, Parquet, Spark, Hive, Flink ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Our stack is complex and we're looking for engineers who know how to write evolvable, properly ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Our stack is complex and we're looking for engineers who know how to write evolvable, properly ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Our stack is complex and we're looking for engineers who know how to write evolvable, properly ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Our stack is complex and we're looking for engineers who know how to write evolvable, properly ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

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All JobsData Engineer Flink JobsData Engineer Flink Jobs in Bothell, WA

Data Engineer Flink information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do data engineer flink jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer flink in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 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 are popular job titles related to Data Engineer Flink jobs in Bothell, WA?

For Data Engineer Flink jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Flink jobs in Bothell, WA look for?

The top searched job categories for Data Engineer Flink jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Data Engineer Flink jobs?

Cities near Bothell, WA with the most Data Engineer Flink job openings:

Data Engineer Flink jobs near you

Software Engineer II - Data Platform & Database Systems

Microsoft

Redmond, WA • On-site

$133K - $219K/yr

Full-time

Posted 8 days ago

Key responsibilities

  • Build, deploy, extend, and operate multi-petabyte MPP database systems such as StarRocks, ClickHouse, Trino/Presto, Spark, Druid, and Kusto.

  • Work on database internals including query execution, vectorized processing, cost-based optimization, and columnar storage formats like Parquet and Arrow.

  • Collaborate across services and languages, working with Python, Java, Go, and performance-critical native code in C++, to develop and optimize data platform components.

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

70th of 247 rated software companies

Job description

Overview
Windows runs on over a billion devices worldwide, and the Windows Data team turns the signal from that ecosystem into the insights that shape the product. We manage, optimize, improve, and extend several multi-petabyte modern MPP (massively parallel processing) database systems - engineering at a scale where familiar solutions stop working and the harder, more interesting problems begin.
This is a code-intensive role. As a Software Engineer II, you'll work across cloud services, data platform engineering, database systems, and supporting data engineering, with room to go deep into the internals of distributed data and database engines: query execution, storage formats, and performance.
We're an AI-native team. Artificial Intelligence (AI) assisted development and agentic tooling are part of the daily craft here - not just to produce code but to build tools and observe cloud-based systems at scale.
This role is also at the intersection between Windows and data, potentially helping hundreds of millions of Windows users have a better experience.
At Microsoft, our mission-to empower every person and every organization on the planet to achieve more-guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress-people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.
Responsibilities
Day to Day Responsibilities
  • Build at a scale that changes the problem. Deploy, extend and operate multi-petabyte MPP - StarRocks, ClickHouse, Trino/Presto, Spark, Druid, Kusto.
  • Go deep into database internals. Work on query execution, vectorized processing, cost-based optimization, and columnar storage formats such as Parquet and Arrow, and understand these engines from the inside out.
  • Work across the stack and across languages. Move between services in Python, Java, and Go and performance-critical native code in C++ - deep expertise in any single language isn't expected, just a readiness to follow the problem wherever it leads.
  • Engineer the lakehouse on cloud infrastructure working with open table formats (Delta Lake, Iceberg, Hudi, Paimon) and build on cloud services and container orchestration with Kubernetes.
  • Practice AI-native engineering. Use AI-assisted development and agentic tooling as part of the daily workflow, build AI directly in decision-making systems and operations, and help define how the team uses it on real production systems.
  • Own components and partner for impact. Shape architecture, make build-vs-adopt decisions, and own components end to end while partnering with data scientists and product managers on data that shapes decisions for hundreds of millions of Windows users.

Qualifications
Required Qualifications
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications
  • 3+ years of proven coding and debugging skills in object-oriented languages. C#, C++, Java, or equivalent.
  • Practical experience with Kubernetes, StarRocks, Clickhouse, Kafka, Flink, Trino, real-time/NRT systems, open-source data platforms.
  • Scripting language experience Python and SQL.
  • Experience with cloud platforms and services, such as Azure, etc.
  • Ability to collaborate effectively with teammates and work successfully in a group environment.
  • Data science, experimentation, or model-building adjacent experience.
  • Experience in designing, developing, and shipping code with secure continuous integration and continuous delivery practices (CI/CD).
  • Experience with data streaming, data modeling, data warehousing, and ETL (extract/transform/load).

#W+DJOBS
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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