Data Engineer

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.

Team/Role: 

 

The Coinbase Customer Experience (CX) organization plays an imperative role in achieving our mission. Our team is dedicated to eliminating customer challenges, empowering our global user base via self-service and automation, and optimizing customer support interactions to build an effortless experience. As a Data Engineer on our team, you will function as a force multiplier, enabling Analytics and Operations to function seamlessly at scale. You’ll have the opportunity to translate complex technical and operational requirements into easily consumable front end data solutions, while also heavily influencing the overarching strategy for CX Analytics and its partners.

 

What we do:

• Build and maintain a foundational data layer (data marts), that serves as the single source of truth across CX and Coinbase. 
• Design and implement robust data pipelines, guaranteeing data quality and timely data delivery across our organization.
• Pioneer developer tools that inject automation into data science processes, improving efficiency and productivity. 
• Deliver tailored data products, designed to empower users with self-serve capabilities and ensure accurate answers to their data queries.

What you’ll be doing:

• Capturing customer and partner team user stories to develop solutions that truly solve their needs
• Collaborate with stakeholders to manage a long-term engineering roadmap that balances the tactical and strategic needs of the business
• Proactively identify opportunity areas for improvement including deep dive investigations and processes to better serve our customers
• Drive the vision, building, and adoption of self-service analytic capabilities; develop these capabilities at scale
• Understand data resources and know when, how, and which best to use for each project
• Ability to frame and break down complex business problems into key components and recommend practical solutions
• Function as a team expert on data infrastructure efficiency and cost optimization
• Build a collaborative team environment that fosters efficient execution, innovation, and continuous improvement
• Collaborate with analysts to solve complex data problems and provide recommendations on both content and optimization.

What we look for in you:

• Python and Advanced SQL: Must be adept at scripting in Python, particularly for data manipulation and integration tasks, and have a solid grasp of advanced SQL techniques for querying, transformation, and performance optimization.
• Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques.
• ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT pipelines to process large datasets.
• Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar tool.
• GitHub: Experience with version control, branching, and collaboration on GitHub.
• Data Visualization: Knowledge of tools like Superset, Looker or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc)
• Collaboration and Communication: Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams.
• Fluency in English

Nice to haves:

• Prompt Engineering for LLMs: Expertise in crafting, testing, and refining prompts for effect