Senior Software Engineer, Data Engineering Platform

About the job

This is a fully remote job, open to people in United States.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

The Data Platform team builds and operates the systems that centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you'll contribute across the full spectrum of our systems, from foundational processing and storage to scalable pipelines to the frameworks, tools, and internal applications that make data easily and efficiently available.

We have a number of open roles within the Data Platform team, each with a different focus area; read on to see if you'll be a good fit as a Data Engineering Platform Engineer.

This role sits between our platform and the analysts, data scientists, and data engineers who use it every day. You'll build the SDKs, self-service apps, and abstractions that let thousands of pipelines and analyses run without those users needing to understand the plumbing underneath.

What you'll do:

• Build clean software abstractions and modular, reusable components that let us support thousands of pipelines and beyond as we scale.
• Build and maintain data integration and processing SDKs used by data teams and internal services across Coinbase.
• Design and build self-service applications that let analysts and data scientists create, manage, and troubleshoot their own pipelines without deep platform knowledge.
• Build tooling for data security and observability: access controls across storage and access layers, data quality tracking, dataset cataloging and lineage, usage auditing.
• Work cross-functionally: consult upstream teams on structuring their databases to expose good data APIs, and give downstream data scientists well-designed, well-documented data models and metrics.
• Convert functional requests from data analysts, ML, and security & compliance into reusable, scalable patterns.

Required Skills and Experience:

• 7+ years experience
• Strong Python or Java backend development skills.
• Fluent SQL for ETL/ELT, data quality, and analysis.
• Hands-on experience with Snowflake, Databricks, or similar.
• General experience working with data systems or data pipelines.
• Working knowledge of git, Linux, and Docker.
• Airflow, BI, and AI tool experience

Job ID#: P77676

Pay Transparency Notice:Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

Annual base salary range (excluding equity and bonus):

$186,065—$218,900 USD

• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
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• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view thetutorial.
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