Senior Data Engineer

February 21

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Logo of Circle

Circle

Circle is a leading financial technology company that focuses on providing businesses and developers with access to innovative blockchain-based solutions, particularly through its stablecoin, USDC. The company specializes in offering cross-border payment services, programmable wallets, and smart contract platforms, making it easier for users to conduct transactions securely and efficiently. Circle emphasizes transparency, security, and accessibility in the digital economy, positioning itself as a trusted partner in the evolving landscape of digital currencies.

blockchain β€’ digital currency β€’ crypto β€’ fintech β€’ consumer finance

501 - 1000 employees

Founded 2013

πŸ’³ Fintech

β‚Ώ Crypto

🀝 B2B

πŸ“‹ Description

β€’ Own the data warehouse and pipelines used for analytics and reporting. β€’ Powers Circle business functions for insights and operational excellence. β€’ Collaborate with product, engineering, analytics, and finance teams. β€’ Build and maintain ETL/ELT pipelines for data analysis and reporting. β€’ Parse complex blockchain data from various sources. β€’ Continuously improve data warehouse operations, monitoring, and performance. β€’ Collaborate on scalable data platform design. β€’ Serve as a domain expert in blockchain data modeling and pipelines.

🎯 Requirements

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

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