Software Engineer, Data Platform
Coinbase
Software Engineer, Data Platform
Job Description
Responsibilities
- Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores.
- Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase.
- Design and build self-service applications to empower our users to manage and troubleshoot their own data pipelines running on our platforms.
- Design and build services for end-to-end data security and data observability: managing access controls across multiple storage and access layers, tracking data quality, cataloging datasets and their lineage, usage auditing.
- Convert functional requests from data analysts, ML, and security & compliance into reusable and scalable patterns; and assemble data microservices into data platforms for critical business verticals and user cohorts.
Required Qualifications
- You have at least 2+ years of experience in software engineering.
- You have Strong Python, Go, or Java backend development skills.
- You have general experience working with data systems or data pipelines.
- You are familiar with design patterns such as scale-out, caching, key/value, and columnar.
- You leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights.
Preferred Qualifications
- Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services
Required Skills
- Python
- Go
- Java
- data systems
- data pipelines
- design patterns (scale-out, caching, key/value, columnar)
- SQL
- Airflow
- BI
- Spark
- Kafka
- cloud data warehouse
- data lake
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$152405 - $179300 USD
Locations
- Canada, Canada (Remote)
- USA, United States (Remote)
Salary
152,405 - 179,300 USD / yearly
Skills Required
- Pythonintermediate
- Gointermediate
- Javaintermediate
- data systemsintermediate
- data pipelinesintermediate
- design patterns (scale-out, caching, key/value, columnar)intermediate
- SQLintermediate
- Airflowintermediate
- BIintermediate
- Sparkintermediate
- Kafkaintermediate
- cloud data warehouseintermediate
- data lakeintermediate
Required Qualifications
- You have at least 2+ years of experience in software engineering. (experience)
- You have Strong Python, Go, or Java backend development skills. (experience)
- You have general experience working with data systems or data pipelines. (experience)
- You are familiar with design patterns such as scale-out, caching, key/value, and columnar. (experience)
- You leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights. (experience)
Preferred Qualifications
- Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services (experience)
Responsibilities
- Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores.
- Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase.
- Design and build self-service applications to empower our users to manage and troubleshoot their own data pipelines running on our platforms.
- Design and build services for end-to-end data security and data observability: managing access controls across multiple storage and access layers, tracking data quality, cataloging datasets and their lineage, usage auditing.
- Convert functional requests from data analysts, ML, and security & compliance into reusable and scalable patterns; and assemble data microservices into data platforms for critical business verticals and user cohorts.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories
Software Engineer, Data Platform
Coinbase
Software Engineer, Data Platform
Job Description
Responsibilities
- Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores.
- Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase.
- Design and build self-service applications to empower our users to manage and troubleshoot their own data pipelines running on our platforms.
- Design and build services for end-to-end data security and data observability: managing access controls across multiple storage and access layers, tracking data quality, cataloging datasets and their lineage, usage auditing.
- Convert functional requests from data analysts, ML, and security & compliance into reusable and scalable patterns; and assemble data microservices into data platforms for critical business verticals and user cohorts.
Required Qualifications
- You have at least 2+ years of experience in software engineering.
- You have Strong Python, Go, or Java backend development skills.
- You have general experience working with data systems or data pipelines.
- You are familiar with design patterns such as scale-out, caching, key/value, and columnar.
- You leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights.
Preferred Qualifications
- Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services
Required Skills
- Python
- Go
- Java
- data systems
- data pipelines
- design patterns (scale-out, caching, key/value, columnar)
- SQL
- Airflow
- BI
- Spark
- Kafka
- cloud data warehouse
- data lake
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$152405 - $179300 USD
Locations
- Canada, Canada (Remote)
- USA, United States (Remote)
Salary
152,405 - 179,300 USD / yearly
Skills Required
- Pythonintermediate
- Gointermediate
- Javaintermediate
- data systemsintermediate
- data pipelinesintermediate
- design patterns (scale-out, caching, key/value, columnar)intermediate
- SQLintermediate
- Airflowintermediate
- BIintermediate
- Sparkintermediate
- Kafkaintermediate
- cloud data warehouseintermediate
- data lakeintermediate
Required Qualifications
- You have at least 2+ years of experience in software engineering. (experience)
- You have Strong Python, Go, or Java backend development skills. (experience)
- You have general experience working with data systems or data pipelines. (experience)
- You are familiar with design patterns such as scale-out, caching, key/value, and columnar. (experience)
- You leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights. (experience)
Preferred Qualifications
- Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services (experience)
Responsibilities
- Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores.
- Build and maintain data integration & process SDKs for use by internal services and product teams throughout Coinbase.
- Design and build self-service applications to empower our users to manage and troubleshoot their own data pipelines running on our platforms.
- Design and build services for end-to-end data security and data observability: managing access controls across multiple storage and access layers, tracking data quality, cataloging datasets and their lineage, usage auditing.
- Convert functional requests from data analysts, ML, and security & compliance into reusable and scalable patterns; and assemble data microservices into data platforms for critical business verticals and user cohorts.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories