Remote Data Engineer (Mid level)

Description:

• Thesis is a pioneering venture studio dedicated to building on Bitcoin since 2014, focusing on cryptocurrency and decentralized businesses.
• The company is remote-first and has a collaborative, fast-paced work environment.
• The Data Engineer will help expand in-house data capabilities and design pipelines for high-volume, high-integrity financial data.
• Responsibilities include architecting complex, real-time data pipelines, optimizing processes, collaborating with Data Science, and working closely with on-chain data.
• The role involves building data validation systems and exploring new approaches to indexing Bitcoin and Ethereum data.

Requirements:

• Candidates must have 3–6 years of experience in a data engineering role, with some experience in DeFi, fintech, or a related field.
• Extensive experience with Python and SQL is required.
• Experience with data warehousing solutions such as Snowflake, BigQuery, or Redshift is necessary.
• A strong understanding of Google Tag Manager is preferred, with familiarity with Data Layer being a plus.
• Expertise with orchestration tools like Fivetran or Airflow, data transformation tools like dbt, and git/Github is essential.
• A comprehensive understanding of the Google Cloud Platform, including Cloud SQL, Cloud Functions, and BigQuery, is required.
• Familiarity with data governance and compliance standards is necessary.
• Hands-on experience with blockchain or crypto data, including tools like Dune or Goldsky, is required.
• Knowledge of standard ETL patterns and modern data warehousing concepts is essential.

Benefits:

• Thesis offers a competitive salary that varies with experience and other factors.
• Employees receive full health benefits and opportunities for equity.
• The work environment is fun and fast-paced, with a focus on collaboration both remotely and in person when possible.
• Additional perks are provided to enhance the employee experience.