Thesis Inc. is hiring a Mid-level Data Engineer for the Mezo engineering team. You will help expand our in-house data capabilities and design high-volume, high-integrity pipelines for Bitcoin finance.

What You'll Do

Architect complex, real-time data pipelines, designing and optimizing ETL processes for large on and off-chain data sets.
Ensure low-latency ingestion and processing of time-sensitive data, proactively optimizing systems.
Contribute to complex data architectures, troubleshooting and ensuring data availability, reliability, and security.
Work with Data Science to write and review Python scripts for data ingestion, transformation, and automation.
Implement and manage data workflows using Cloud Composer and Github Actions for orchestration.
Build and maintain high-performance data warehouse schemas with Google BigQuery and DBT.
Build data validation, reconciliation, and monitoring systems meeting financial services standards.
Explore new approaches to indexing and querying data from Bitcoin, Ethereum, L2s, and DeFi protocols.
Partner with product, engineering, and data science to deliver datasets that power lending models and product launches.

What We're Looking For

3–6 years in a data engineering role.
At least some experience in DeFi, fintech, or a related field.
Extensive experience with Python and SQL.
Experience with data warehousing solutions like Snowflake, BigQuery, or Redshift.
Strong understanding of Google Tag Manager.
Expertise with orchestration tooling like Fivetran or Airflow.
Expertise with data transformation tools like dbt.
Expertise with git/Github.
Comprehensive understanding of Google Cloud Platform, including Cloud SQL, Cloud Functions, and BigQuery.
Familiarity with data governance and compliance standards.
Hands-on experience with blockchain or crypto data, including tools like Dune or Goldsky.
Knowledge of standard ETL patterns, modern data warehousing ideas, and data quality practices.

Nice to Have

Knowledge of real-time data processing and event-driven tracking with analytics.js and/or Segment.
Familiarity with data observability tools and anomaly detection for production systems.
Understanding of financial data governance, reconciliation, and compliance needs.
Experience with on-chain indexing, blockchain ETL, or real-time risk/credit models.
Exposure to data visualization platforms such as Looker Studio, Hex, or Mixpanel.
Prior experience as a data analyst or scientist.