Staff Data Engineer, Coinbase
$207-244k
Offers target bonus
The world’s leading exchange for digital currencies
Posted today
The world’s leading exchange for digital currencies
1001+ employees
Posted today
$207-244k
Offers target bonus
1001+ employees
Company mission
To increase economic freedom for more than 1 billion people.
Role
Who you are
- 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
- Blockchain data experience: You should know about blocks, transactions, token transfers, contract calls, account and UTXO models and labeling etc. Deep understanding of blockchains is a must. You will likely have used tools like Dune and Arkham before
- Python: Must be adept at coding in Python. Go is a plus. Major experience with one or more modern languages is essential, particularly for data oriented tasks
- SQL: Must have expert SQL experience for querying, transformation, and performance optimization. Experience with other types of DBs like graph databases and key-value stores is a plus
- Data Compute Frameworks: Experience with data compute frameworks such as Spark, Flink, Beam etc. are a plus
- ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT data pipelines to process large datasets. Experience with both batch and streaming is a plus
- Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar pipeline orchestration tool
- Data Visualization: Experience with tools like Superset, Hex, Looker, or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc)
- Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques. Experience with modeling for blockchain data or financial data is a plus
- 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
- Fundamental DevOps Practices: Knowledge of unit testing, CI/CD, and git repository management, Docker, kubernetes etc
- Prompt Engineering for LLMs: Expertise in leveraging LLMs and AI tools in your workflow, knowing where and how to apply them. Work with embeddings and vector search is a plus
What the job involves
- 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
- Trusted data sources: Build and maintain a foundational data layer (data marts), that serve as the single source of truth across Coinbase
- Reliable data pipelines: Design and implement robust data pipelines, guaranteeing data quality and timely data delivery across our organization
- 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
- Self-serve analytics products: Deliver tailored data products, designed to empower users with self-serve capabilities and ensure accurate answers to their data inquiries
- Your primary responsibilities will include building tools and products that enhance data science productivity, enable self-serve analytics, and ensure data reliability and quality
- This role deals specifically with blockchain data
- More specifically:
- Data modeling: Design data models that support our data scientists in leveraging blockchain data in their analysis
- Data transformation and tooling: Build tooling and pipelines for getting blockchain data from APIs, Files, and Databases into a clean and useful format
- Data quality tooling: Build mechanisms of data quality measurement and enforcement. Ensure reliability and completeness of data
- Scrappy & creative problem solving: Get creative in applying blockchain knowledge to write heuristics and models that answer questions about what is happening on chain
- 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
- Self-serve analytics: Enable stakeholders to self-serve their own analytics by making blockchain data available and approachable
Our take
Coinbase has built a reputation as one of the most accessible entry points into the world of cryptocurrency. With features like crypto wallets, direct bank account linking, and merchant payment tools, it's helping bring crypto into the mainstream. But the company isn't just relying on its early success, it's evolving fast to stay relevant in a rapidly changing market.
Lately, its doubled down on its focus on institutional clients, now serving as the custodian for the majority of approved Bitcoin and Ethereum ETFs, and its Prime platform offers a full suite of services for hedge funds, asset managers, and financial institutions. As demand for regulated crypto products rise globally (particularly in Asia), Coinbase is ready to expand.
And it's even making moves to engage with younger audiences, having recently partnered with Riot Games to sponsor global eSports events for League of Legends and Valorant. This multi-year deal, commencing with the Valorant Masters in Toronto and the MSI 2025 tournament in Vancouver. This partnership highlights Coinbase's strategy to integrate Web3 technologies into mainstream entertainment, aiming to bridge the gap between gaming and cryptocurrency for a new generation of users.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-24% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2018
$300m
GROWTH EQUITY VC
Oct 2018
$108.1m
SERIES D
Total funding: $633.4m
Leadership
Brian Armstrong
(Co-Founder & CEO)Previously founded UniversityTutor.com, also worked as a Software Engineer at AirBnb
Alessia Haas
(CFO)Previously held various head positions, including VP at GE Healthcare, Director at Merrill Lynch and CFO at CIT Bank and Oz Management
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