Senior Data Engineer

Circle; Vancouver; On-site; USD 120,000 - 163,000; Full time

Job summary

An innovative financial technology company is seeking a Senior Data Engineer to join their dynamic team. In this role, you'll be responsible for managing data warehouses and pipelines that drive analytics and reporting, playing a crucial part in enhancing operational excellence and business growth. Your expertise will help shape how data is utilized across the organization, ensuring accuracy and quality. With a commitment to transparency and inclusion, this forward-thinking firm offers a collaborative environment where your contributions will directly impact the future of finance. If you're passionate about data and technology, this is the perfect opportunity for you.

Qualifications

• 2+ years of data engineering experience with strong data fundamentals.
• Skilled in SQL for data warehouse platforms.
• Experience with workflow orchestration and cloud platforms.

Responsibilities

• Own the data warehouse and pipelines for analytics and reporting.
• Build and maintain ETL/ELT pipelines for data aggregation.
• Collaborate with teams to design scalable data life cycles.

Skills

SQL

Python

Java

Scala

ETL/ELT

Data Engineering

Blockchain Data

Cloud Platforms (AWS, GCP, Azure)

Workflow Orchestration (Airflow, Dagster, DBT)

Education

Bachelor's Degree in Computer Science or related field

Tools

Snowflake

BigQuery

Databricks

Airflow

Dagster

DBT

Job description

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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 member 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. 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

• Collaborate with product, engineering, analytics, and finance to design and manage scalable data life cycles.
• Build and maintain ETL/ELT pipelines to source and aggregate the required data for analysis and reporting.
• Parse complex blockchain data, sourced directly from the blockchain and third parties.
• Surface data for internal and customer-facing analytical, financial, and regulatory needs.
• Continually improve data warehouse operations, monitoring, and performance.
• Re-think how data is stored and processed today, within data platforms and outside among Circle business teams and external applications.
• Collaborate on the design, deployment and improvement of a scalable data platform for ingestion, storage, and aggregation.
• Serve as a domain expert in blockchain data modeling, pipelines, quality, and warehousing.
  
  

What You’ll Bring To Circle

For Data Engineer (II)

• 2+ years of data engineering experience with strong data fundamentals.
• Skilled in SQL for data warehouse platforms such as Snowflake, BigQuery, Databricks, and more.
• Proficient in one or more programming languages (Python, Java, Scala).
• Experience with workflow orchestration (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.
  
  

For Senior Data Engineer (III), all the requirements of above and:

• 4+ years of data engineering experience with strong data fundamentals.
• Proficient in SQL within data warehouse systems like Snowflake, BigQuery, Databricks, etc.
• Skilled in building scalable infrastructure to support batch, micro-batch or stream processing for large volumes of data.
• Experience in data provenance, governance, and big data technologies (including open-source solutions).
  
  

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

• Data Engineer (II): $120,000 - $162,500
• Senior Data Engineer (III): $147,500 - $195,000
  
  

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 [e-mail] 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

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