Senior Data Engineer

At Coinbase, our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.

There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.

Who you are:

• You’ve got positive energy. You’re optimistic about the future and determined to get there. 
• You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. 
• You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
• You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
• You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
• You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.

The data engineering team develops and maintains robust data pipelines, builds trusted data sources, and creates analytics/data products that inject automation into data science processes, with a goal to empower users via self-serve analytics.

What we do:

1. Trusted data sources: Build and maintain a foundational data layer (data marts), that serve as the single source of truth across Coinbase. 
2. Reliable data pipelines: Design and implement robust data pipelines, guaranteeing data quality and timely data delivery across our organization.
3. Data science developer tools: Build developer tools that inject automation into data science processes, improving efficiency and productivity. For example, data transformation, data modeling, and data quality tooling.
4. Self-serve analytics products: Deliver tailored data products, designed to empower users with self-serve capabilities and ensure accurate answers to their data inquiries.

What you’ll be doing:

Your primary responsibilities will include building tools and products that enhance data science productivity, enable self-serve analytics, and ensure data reliability and quality. Additional responsibilities may include contributing to the maintenance of critical data marts and data pipelines as needed.. 

More specifically: 

• Enforce best practices: Introduce automation mechanisms to enforce data best practices and optimal design principles.
• Data transformation tooling: Enhance our data transformation layer by adding new features and migrating data pipelines from legacy tools.
• Data quality tooling: Build systems to automate monitoring, alerting and fixing data anomalies.
• Productivity tooling: Build internal tools aimed at streamlining workflows, minimizing manual interventions and driving operational efficiencies. 
• Cross-Functional collaboration: Work alongside fellow data engineers and cross-functional partners from Data Science, Data Platform, Machine Learning, and various analytics teams to ensure alignment on priorities and deliverables. 
• Reliable data pipelines: Develop new data pipelines and ETL processes, while enhancing the efficiency of exis