Manage and mentor a team of data engineers, oversee data warehouse and pipelines, ensure reliable data for analytics, and drive data engineering practices.
Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data - globally, nearly instantly and less expensively than legacy settlement systems. This ground-breaking new internet layer opens up previously unimaginable 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 and capitalize on this major turning point in the evolution of money and technology.
What you'll be part of:
Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding 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:
As a Data Engineering Manager, you will lead and represent a team of data engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power blockchain analytics and reporting, ensuring they are reliable, scalable, and impactful. Your leadership will enable Circle's product, analytics, and operational teams to generate actionable insights, make informed decisions, and fuel business growth. In addition to managing and mentoring the team, you will serve as a strong technical leader - capable of executing hands-on when needed, providing architectural guidance, and setting the vision for data engineering at Circle.
What you'll work on:
What you'll bring to Circle:
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 [email protected] for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.
#LI-Remote
What you'll be part of:
Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding 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:
As a Data Engineering Manager, you will lead and represent a team of data engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power blockchain analytics and reporting, ensuring they are reliable, scalable, and impactful. Your leadership will enable Circle's product, analytics, and operational teams to generate actionable insights, make informed decisions, and fuel business growth. In addition to managing and mentoring the team, you will serve as a strong technical leader - capable of executing hands-on when needed, providing architectural guidance, and setting the vision for data engineering at Circle.
What you'll work on:
- 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 [email protected] for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.
#LI-Remote
Top Skills
Airflow
AWS
Azure
BigQuery
Dagster
Databricks
Dbt
GCP
Java
Python
Scala
Snowflake
SQL
Similar Jobs at Circle
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Lead a team of data engineers at Circle, focusing on data architecture, pipeline development, and collaboration with product and analytics teams to generate actionable insights.
Top Skills:
AirflowAWSAzureBigQueryDagsterDatabricksDbtGCPJavaPythonScalaSnowflakeSQL
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
The Data Engineering Manager will lead and mentor a team, manage data warehouses and pipelines, and ensure data reliability and scalability to support business growth.
Top Skills:
AirflowAWSAzureBigQueryDagsterDatabricksDbtGCPJavaPythonScalaSnowflakeSQL
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Lead a team of data engineers at Circle, focusing on data architecture, pipeline development, and collaboration with product and analytics teams to generate actionable insights.
Top Skills:
AirflowAWSAzureBigQueryDagsterDatabricksDbtGCPJavaPythonScalaSnowflakeSQL
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering