Blockchain Data Engineer

Last updated: 5/1/2024 actively hiring

About Us

OpenBlock is a data-driven platform dedicated to fostering sustainable growth within decentralized protocols. Our product powers incentive recommendations for leading protocols in the space, including: EigenLayer, Lido, Arbitrum, Solana, Sui, Uniswap, Scroll, Fuel, Linea, Mode, and many others.

OpenBlock is backed by notable investors, including: Foundation Capital, Electric Capital, Circle Ventures, AlleyCorp, and others. Our team of 40+ has backgrounds from Stanford, a16z, Carnegie Mellon, Meta, Palantir, and other top-tier institutions.

We invite you to explore our work at www.openblocklabs.com

For the Lead Blockchain Data Engineer position your responsibilities will center around collecting data from disparate data sources and leading a team.

This includes:

• Develop and maintain automated ETL (Extract, Transform, Load) processes for ingesting and transforming raw blockchain data into usable formats.
• Work across multiple L1s, L2s, and other blockchain ecosystems. Connect to RPC endpoints, index smart contracts, and quickly make sense of blockchain event data.
• Evaluate and implement tools and technologies for blockchain data processing, such as blockchain explorers, node APIs, and data streaming platforms.
• Integrate and manage these workflows within Dagster for streamlined data processing workflows with robust monitoring and alerting.
• Write clean, robust, and maintainable code that adheres to industry standards and best practices.
• Manage and optimize databases for storing blockchain data, including schema design, indexing, and query optimization.

Qualifications:

• 5+ years of experience as a data engineer.
• Understanding of blockchain event data, familiarity with smart contracts and blockchain data structures.
• Proficiency in programming languages such as Python and SQL.
• Proficiency in querying data through Subquery/GraphQL.
• Proficiency in creating subgraphs.
• Experience with distributed storage systems (e.g. S3).
• Expertise with any of ETL schedulers such as Apache Airflow, Dagster, Prefect or similar frameworks.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.
• Strong communication skills to effectively collaborate with researchers, engineers, and data teams.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Salary ranges provided for US based candidates.