Coinbase

Staff Data Engineer, Blockchain Data

Coinbase

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $207,000 - $244,000 per year

Job Level

Lead

Tech Stack

AirflowApacheDockerETLGoKubernetesPythonSparkSQL

About the role

  • Build tools and products that enhance data science productivity and enable self-serve analytics for blockchain data
  • Build and maintain foundational data layer (data marts) serving as single source of truth
  • Design data models to support data scientists using blockchain data
  • Build tooling and pipelines to ingest blockchain data from APIs, files, and databases into clean, useful formats
  • Build data quality measurement and enforcement mechanisms to ensure reliability and completeness
  • Apply blockchain knowledge to write heuristics and models that interpret on-chain activity
  • Collaborate cross-functionally with Data Science, Data Platform, Machine Learning, and analytics teams to align priorities and deliverables
  • Deliver tailored data products to empower stakeholders with self-serve analytics
  • Design, implement, and optimize reliable data pipelines and developer tools to automate data science processes

Requirements

  • Blockchain data experience: knowledge of blocks, transactions, token transfers, contract calls, account and UTXO models, labeling; familiarity with Dune and Arkham a plus
  • Adept at coding in Python; Go is a plus; major experience with modern programming languages
  • Expert SQL experience for querying, transformation, and performance optimization
  • Experience with other DBs such as graph databases and key-value stores is a plus
  • Experience with data compute frameworks (Spark, Flink, Beam) is a plus
  • Experience designing, building, and optimizing ETL/ELT data pipelines; batch and streaming experience is a plus
  • Experience building, deploying, and optimizing DAGs in Apache Airflow or similar
  • Experience with data visualization tools (Superset, Hex, Looker) or Python visualization libraries (Matplotlib, Seaborn, Plotly)
  • Understanding of data modeling best practices (star schemas, snowflake schemas, normalization); modeling for blockchain or financial data is a plus
  • Ability to collaborate with data scientists, analysts, and stakeholders; strong documentation skills for pipeline design and data flow diagrams
  • Fundamental DevOps practices: unit testing, CI/CD, git, Docker, Kubernetes
Benefits
  • Target bonus
  • Benefits including medical, dental, vision
  • 401(k)
  • Team and company-wide offsites multiple times annually (attendance expected and fully supported)
  • Reasonable accommodations for disabilities

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonGoSQLETLELTApache AirflowSparkFlinkBeamdata modeling
Soft skills
collaborationdocumentationcommunication
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