Remote-First Senior Data Platform Engineer

Coinbase, Inc.

Salt Lake City (UT)

Remote

USD 186,000 - 219,000

Full time

14 days+
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Job summary

Coinbase, Inc. is seeking a Senior Software Engineer for the Data Platform team to build systems centralizing internal and third-party data for analytics, ML, and end-user experiences at scale.

You will own design, development, and operation of data services across warehouses, lakes, orchestration, batch and streaming processing, and real-time stores, partnering with analysts, security, and product teams to deliver reusable data patterns.

Qualifications

  • 5+ years of backend software engineering with production data pipelines experience.
  • Proficiency in Python, Go, or Java for building data services at scale.
  • Experience with scale-out architectures, caching, and columnar storage.
  • Hands-on experience with SQL, Airflow, Spark, Kafka in production.
  • Experience with data security, access control, or data observability systems.
  • Uses generative AI responsibly with human oversight.

Responsibilities

  • Own design, development, and operation of data services spanning warehouses, lakes, orchestration, batch/stream processing, and real-time stores.
  • Build and maintain data integration and processing SDKs used across Coinbase.
  • Deliver self-service apps for users to manage and monitor data pipelines.
  • Architect data security, observability, cataloging, lineage, and usage auditing.
  • Collaborate with analysts, ML engineers, and security to create reusable data patterns.

Skills

Backend development
Python/Go/Java
Data infrastructure
Airflow / Spark / Kafka
Data security / observability
AI tooling usage

Tools

Airflow
Spark
Kafka
SQL

Job description

Coinbase, Inc. is seeking a Senior Software Engineer for the Data Platform team to build systems centralizing internal and third-party data for analytics, ML, and end-user experiences at scale.

You will own design, development, and operation of data services across warehouses, lakes, orchestration, batch and streaming processing, and real-time stores, partnering with analysts, security, and product teams to deliver reusable data patterns.

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