About the company
The global financial ecosystem is changing. Revolutionary blockchain technology has unlocked the potential for people around the world to have more equal access to wealth and information. This transformation has begun with the mass global adoption of cryptocurrencies but like all new financial systems, it needs greater trust to realize its full potential and remain safe from bad actors. That’s where we come in. The Chainalysis blockchain data platform enables businesses, governments, and banks to solve the world’s most high-profile criminal cases, paving the way for an economy built on blockchains.
Job Summary
In this role, you’ll:
📍Design, develop, and maintain robust, scalable data models and transformation pipelines using dbt and SQL—with a special emphasis on expert-level data modeling in dbt—to support analytics and business intelligence across the company. 📍Collaborate with stakeholders in Finance, Sales, Marketing, and Product to translate business requirements into technical specifications for reliable datasets. 📍Apply software engineering best practices, including Git version control, CI/CD, automated testing, and documentation, to ensure data quality and maintainability. 📍Own and enhance the data architecture within our cloud data warehouses (Snowflake/Redshift/Databricks), optimizing for performance, scalability, and cost-effectiveness. 📍Develop and manage data integrations from source systems (e.g., Salesforce, NetSuite, Pendo) using tools like Fivetran and custom Python scripts. 📍Mentor engineers and analysts on advanced dbt data modeling techniques and the effective use of our data stack. 📍Contribute to our data governance framework by establishing and enforcing standards for data quality, consistency, and metric definition.
We’re looking for candidates who have:
📍5+ years of professional experience in analytics engineering, data engineering, or BI development, with a record of shipping data products to production. 📍Expert-level proficiency in SQL and deep experience with data modeling techniques, especially building and optimizing complex data models in dbt for scalable analytics use cases. 📍Extensive hands-on experience building, testing, and deploying dbt projects in a complex business environment. 📍Strong programming skills in Python for data manipulation and automation. 📍Experience with modern cloud data warehouses (Snowflake, BigQuery, Databricks).
If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.
