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Manager, Data Engineering

Manager, Data Engineering

CircleAustin, TX, US
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Overview

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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 ground-breaking new internet layer opens up possibilities for payments, commerce and markets that can help raise global economic prosperity and enhance inclusion. Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs.

Circle is committed to visibility and stability in everything we do. As we grow, we expand into some of the world\'s strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible and diverse work environment where new ideas are encouraged and everyone is a stakeholder.

What you'll be responsible for and what you'll work on are described in the sections below.

What You'll Be Responsible For

  • Lead, mentor, and grow a team of data engineers, supporting their career development and ensuring high-quality, timely delivery.
  • Partner with data analysts, data scientists, and cross-functional stakeholders to deliver trustworthy, actionable data for decision-making.
  • Serve as a hands-on technical leader by participating in code reviews, design reviews, and architectural decisions.
  • Drive the long-term vision for Circle's data engineering practices, balancing innovation with operational excellence.
  • Explore and leverage AI-driven approaches to improve development efficiency and modernize workflows.
  • Become a domain expert in blockchain and / or financial data.
  • Design scalable data models and establish robust metadata practices to improve data accessibility and discoverability.

What You'll Bring To Circle

  • 2+ years of direct people management experience, with a track record of coaching, mentoring, and growing data engineers.
  • 7+ years of hands-on data experience with strong data architecture, modeling, and pipeline development skills.
  • Deep proficiency in SQL within modern data warehouse environments (Snowflake, BigQuery, Databricks, etc.).
  • Proficiency in one or more programming languages (Python, Java, Scala), with the ability to guide and review technical work.
  • Experience with workflow orchestration (Airflow, Dagster, DBT) and cloud platforms (AWS, GCP, Azure).
  • Experience in data provenance, governance, and big data technologies (including open-source solutions).
  • Background in blockchain or financial data is a plus.

    • Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

    Starting pay is determined by various factors, including but not limited to : relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

    Base salary range : $182,500 - $240,000

    We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

    Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

    Seniority level

  • Mid-Senior level

    • Employment type

  • Full-time

    • Job function

  • Information Technology

    • Referrals increase your chances of interviewing at Circle by 2x

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