Data Engineer/Data Scientist/Machine Learning Engineer

WalletConnect is the open-source web3 standard to connect blockchain wallets to dapps. Any wallet, any dapp, any chain. Starting in 2018, our mission is to make web3 accessible to everyone. Every month, millions of people use WalletConnect in thousands of integrations. We raised ~$25M from venture investors including 1kx and Coinbase as well as from customers such as Shopify and Circle. We are growing fast both in terms of features and users.

To learn more about our plans to create a multi-API messaging network for web3, take a look at our presentation at EthCC.

The Role:
We are looking for someone who can help mature our existing data applications and innovate new use cases. Our existing setup is data lake/warehouse with data science/bi applications as customers. We use DBT/Athena/Glue (Spark)/RDS/Python/Terraform.

Data is business critical for us and this quarter we need to improve our monitoring and build new use cases over the existing plumbing.

We’re looking for someone who can act as a leader in our data team and help set and fulfill the vision.

Responsibilities:

• Design and implement end-to-end data pipelines, and work closely with stakeholders to build instrumentation and define data models
• Take ownership of monitoring to ensure high availability of our data tooling
• Build actionable production-quality internal dashboards, with well defined KPI’s
• Work with the Cloud team to create customer-focused dashboards to help customers understand their WalletConnect usage.
• Partner closely with product, engineering and other business stakeholders to influence product and business decisions with data
• Influence leadership to drive more data-informed decisions

Requirements

Must have:

• 3+ years of experience as a Data engineer/scientist.
• Extensive experience with Python/Spark/databases
• Deep understanding of advanced SQL techniques, dimensional modeling and scaling ETL pipelines
• Experience with applied statistics and quantitative modeling
• Demonstrated knowledge in monitoring data systems

Nice to have:

• Terraform knowledge
• Domain experience in crypto and SaaS would be a plus
• Knowledge of Rust and TypeScript (help on data ingestion pipeline)
• Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
• Strong background in statistical modeling such as regression, survival and cohort analysis, time series forecasting, etc.
• Experience in the AWS Glue/Athena toolsuite, Spark, Presto

Benefits

• Fully remote position with flexible timezone (CET/EST preferred)
• Competitive salary
• Company equity
• Remote work allowance
• Token offering