Community

Home >

Jobs >

Senior Streaming Engineer (GCP)

California, United States (Remote)

Senior Streaming Engineer (GCP)

1 Month ago • 4-4 Years • DevOps

About the job

15 skills required for this role

Test your skills to join the top 1% applicants for this job

java

ci-cd

kubernetes

spark

azure

apache-beam

aws

python

docker

notion

terraform

hadoop

communication

scalability

innovation

Job Description

We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in Java, developing and scaling both stream and batch processing systems, and a solid understanding of public cloud technologies, especially GCP. This role involves working in a remote environment, requiring excellent communication skills and the ability to solve complex problems independently and creatively. You will design and develop scalable data processing solutions, leveraging advanced Java techniques to ensure performance, reliability, and maintainability across streaming and batch workflows. You will also work with technologies such as Pub/Sub, Kafka , DataFlow, Flink, Hadoop, Pig, Oozie, Hive, and Spark.

Must have:

Strong experience with Java-based frameworks and libraries for building scalable data processing and streaming applications.
Strong Java 11-17 experience.
Dataflow (Managed Apache Beam).
Pub/Sub.
Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification.
4+ years of experience in customer-facing software/technology or consulting.
4+ years of experience with “on-premises to cloud” migrations or IT transformations.
4+ years of experience building and operating solutions on GCP (ideally) or AWS/Azure.
Technical degree in Computer Science, Software Engineering, or related field.

Good to have:

Experience with other cloud technologies
Experience in building reusable and reliable code for stream and batch processing systems at scale.
Experience with GCP managed services and understanding of cloud-based messaging/stream processing systems (e.g., Data Proc, Cloud Composer, GCS, DataFlow).
Experience in Infrastructure and Applied DevOps principles, including CI/CD and IaC (e.g., Terraform).
Knowledge in containerization technologies like Docker and Kubernetes to enhance scalability and efficiency.

Not hearing back from companies?

Unlock the secrets to a successful job application and accelerate your journey to your next opportunity.

About the Role:

What you will be doing:

· Design and develop scalable data processing solutions, leveraging advanced Java techniques to ensure performance, reliability, and maintainability across streaming and batch workflows.

· Build reusable and reliable code for stream and batch processing systems at scale.

· Work with technologies such as Pub/Sub, Kafka , DataFlow, Flink, Hadoop, Pig, Oozie, Hive, and Spark.

· Implement automation/DevOps best practices for CI/CD, IaC, Containerization, etc.

Requirements:

Driven and self-motivated to thoroughly clarify problem statements and develop well-structured plans to effectively solve challenges.
Proficiency in Java with solid experience in asynchronous programming paradigms, including a strong understanding of API futures and the ability to implement asynchronous APIs for scalable solutions.
Hands-on experience with reactive programming techniques, focusing on non-blocking data flow and real-time data handling.
Ability to design, debug, and optimize concurrent processes within distributed systems.
Adopt a proactive problem-solving approach by thoroughly analyzing problem statements, anticipating corner cases, and devising a comprehensive solution plan prior to coding. Begin coding with a clear algorithmic strategy to ensure efficient and effective solutions.
Expertise in public cloud services, particularly in GCP.
Experience in building reusable and reliable code for stream and batch processing systems at scale.
Experience with GCP managed services and understanding of cloud-based messaging/stream processing systems (e.g., Data Proc, Cloud Composer, GCS, DataFlow).
Experience in Infrastructure and Applied DevOps principles, including CI/CD and IaC (e.g., Terraform).
Knowledge in containerization technologies like Docker and Kubernetes to enhance scalability and efficiency.
Ability to tackle complex challenges and devise effective solutions, using critical thinking and innovative approaches.
Proven ability to work effectively in a remote setting, maintaining strong written and verbal communication skills.
Proven experience in engineering stream/batch processing systems at scale.
Strong programming abilities in Java and Python.
Hands-on experience with public cloud platforms, particularly GCP. Experience with other cloud technologies is a plus.

Must Have:

Strong experience with Java-based frameworks and libraries for building scalable data processing and streaming applications.
Strong Java 11-17 experience.
Dataflow (Managed Apache Beam).
Pub/Sub.
Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification.
4+ years of experience in customer-facing software/technology or consulting.
4+ years of experience with “on-premises to cloud” migrations or IT transformations.
4+ years of experience building and operating solutions on GCP (ideally) or AWS/Azure.
Technical degree in Computer Science, Software Engineering, or related field.

The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY, and WA. This information applies only to individuals working in these states.

· The anticipated starting pay range for Colorado is: $116,100 - $170,280.

· The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $123,600 - $181,280.

· The anticipated starting pay range for California, New York City and Washington is: $135,300 - $198,440.

Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on benefits offered is here.

#LI-VM1

#Rackspace

#LI-Rackspace

#LI-USA

#LI-Remote

About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

View Full Job Description

$116.1K - $198.4K/yr (Outscal est.)

$157.3K/yr avg.

San Francisco, California, United States