Join to apply for the Staff Data Engineer role at Circle
Join to apply for the Staff Data Engineer role at Circle
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 one of the tech leads of the Data Engineering team, you own the data warehouse and pipelines that are used for analytics and reporting. Your work powers Circle business functions, including product development and regulatory reporting for actionable insights and operational excellence, so as to fuel and accelerate business growth. In this role, you will reshape how data moves across the company and mentor junior engineers on the team. High integrity to data accuracy and quality is crucial. Your work will directly impact Circle’s transparency, trust, and accountability needs.
What You'll Work On
* Improving the accessibility and functionality of data at Circle.
* Working closely across groups, particularly product, engineering, analytics, and business teams to design and manage scalable data life cycles of new and existing products.
* Providing thought leadership among the data and engineering organizations.
* Setting the standards for code quality, design quality, and documentation. Pushes to define those standards and institute them to be practiced across the team
* Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs.
* Re-thinking how data is stored and processed today, with AI tools and Circle’s data platform.
* Collaborating on the design, deployment and continuous improvement of a scalable data platform that ingests, stores, and aggregates various datasets.
* Being a domain expert on data modeling, data pipelines, data quality and data warehousing of product data.
What You’ll Bring To Circle
* 7+ years of professional data engineering experience.
* Experience leading teams (>5) technically on data architecture and system design.
* Ability to work autonomously and identify and deliver on impactful projects with minimal guidance.
* Zeal for tackling complex and ambiguous problems.
* Excellent communication skills, with ability to collaborate with across remote teams, share ideas and present concepts effectively.
* Proficiency in one or more programming languages (Java, Scala, Python).
* Expertise in SQL within data warehouses like Snowflake, BigQuery, Databricks, etc.
* Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc
* Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc).
* Experience in building scalable infrastructure to support batch, micro-batch or stream data processing for large volumes of data.
* 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 Pay Range: $172,500 - $227,500
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
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
Referrals increase your chances of interviewing at Circle by 2x
Get notified about new Data Engineer jobs in Greater Boston.
Bedford, MA $80,000.00-$100,000.00 1 week ago
Boston, MA $80,000.00-$100,000.00 19 hours ago
Junior Frontend Software Engineer, MyLexia
Data Engineer II, Translational Data Science
Lexington, MA $125,000.00-$170,000.00 1 week ago
Boston, MA $190,000.00-$250,000.00 2 weeks ago
Boston, MA $212,884.00-$258,449.00 4 days ago
Go to Market Systems Engineer (Salesforce Developer)
Boston, MA $115,000.00-$180,000.00 2 weeks ago
Bedford, MA $130,000.00-$150,000.00 2 weeks ago
Bedford, MA $130,000.00-$150,000.00 2 weeks ago
Bedford, MA $140,000.00-$145,000.00 4 days ago
Software Engineer (Remote Eligible, U.S.)
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Staff Software Engineer - Scalable Systems & Infrastructure
Staff Software Engineer - Scalable Systems & Infrastructure
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr