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Hawaii Staffing

Senior Software Engineer, Data Platform (Streaming)

Hawaii Staffing, Honolulu, Hawaii, United States, 96814

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Join Coinbase To Build The Future Of Finance

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Job Responsibilities

As an engineer on the Data Platform team, you will contribute to the full spectrum of our systems, from managing foundational processing and data storage, to building and maintaining scalable pipelines, to developing frameworks, tools, and internal applications to make that data easily and efficiently available to other teams and systems. Support and operate our Kafka clusters:

Integrate services and features as necessary to make it fully self-service and self-managing. Become an expert at operating and managing our Databricks clusters:

Ensure it as a stable, secure platform for large volume streaming data processing and analysis. Build and maintain the infrastructure:

Needed to support a wide range of streaming use cases both within the team and externally. Work closely with other teams:

To evangelize best practices through documentation, tutorials, examples, and complete implementations. Qualifications

Experience:

7+ years of relevant work experience. Technical Skills:

Strong Golang, Java or Python backend development skills. General experience working with data systems or data pipelines. Leverage your Cloud (AWS/GCP), Kafka, Spark/Flink expertise to scale our streaming infra & compute to the next 5x level. Extensive experience building streaming applications and streaming platforms, both as a client and as an operator. Well-versed in industry best practices, and you are as comfortable discussing and communicating architectural designs and patterns as you are implementing them. Additional Experience:

Experience with core AWS services and concepts (S3, IAM, autoscaling groups), or devops experience. Hands-on experience building streaming data systems using Spark/Flink on Kafka. Hands-on experience building change data capture pipelines using open-source systems such as Debezium and Databricks. Hands-on experience standing up, operating, and maintaining Kafka and Spark clusters. Nice to Have:

Stateful data processing concept & hands-on with state store, retry/idenpotency logic, distributed counter/aggregator. Tiered-storage architecture for Kafka. Open Data Lake standard such as Iceberg or Delta. Pay Range:

$186,065$218,900 USD Commitment to Equal Opportunity:

Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.