Data Engineer II / Senior Data Engineer

Position Overview

Circle is a financial technology company at the epicenter of the emerging internet of money, where value can travel globally, nearly instantly and less expensively than legacy settlement systems. This revolutionary internet layer opens up possibilities for payments, commerce, and markets that can help raise global economic prosperity and enhance inclusion. Circle is committed to visibility and stability in everything we do. As we expand into some of the world's strongest jurisdictions, we live by our values of High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. In this role as a Data Engineer, you will own the data warehouse and pipelines used for blockchain analytics and reporting. Your work will power business functions including product development for actionable insights and operational excellence, directly impacting Circle’s transparency, trust, and accountability.

Key Responsibilities

• Collaborate with fellow data engineers, data analysts, and data scientists to deliver useful data for crypto blockchain analytics that inform product decisions.
• Build and maintain ELT pipelines by parsing complex blockchain data to source and aggregate required data for analysis and reporting.
• Design data models and maintain reliable metadata to improve data discoverability.
• Continuously improve data warehouse operations, monitoring, and performance.
• Serve as a domain expert in blockchain data modeling, pipelines, and data quality while leveraging AI to enhance code development and transform processes.

Required Qualifications

• 2+ years of data engineering experience with strong data fundamentals (For Data Engineer II).
• Proficient in SQL for data warehouse platforms such as Snowflake, BigQuery, Databricks, etc.
• Skilled in one or more programming languages (Python, Java, Scala).
• Experience with workflow orchestration tools (Airflow, Dagster, DBT) and cloud platforms (AWS, GCP, Azure).
• Background in blockchain or financial data is a plus.
• Self-starter with a proven ability to learn, collaborate remotely, and communicate effectively in fast-paced environments.
• 4+ years of data engineering experience with strong data fundamentals (For Senior Data Engineer III).
• Experience in building scalable infrastructure to support batch, micro-batch, or stream processing for large volumes of data.
• Familiarity with data provenance, governance, and big data technologies, including open-source solutions.

Benefits & Perks

• Base Pay Range: $147,500 - $195,000
• Inclusive financial future with transparency at the core.
• Equal opportunity employer committed to diversity and inclusion.
• Support for accommodations during the interview process.