Senior Data Engineer
Blockchain
Posted on 3/18/2024
Circle

1,001-5,000 employees

Platform for businesses to accept payments and send payouts
Company Overview
Circle's mission is to raise global economic prosperity through programmable internet commerce. The company is a global financial technology firm that’s at the center of digital currency innovation and open financial infrastructure.
Crypto & Web3
Financial Services

Company Stage

Seed

Total Funding

$1.2B

Founded

2013

Headquarters

,

Growth & Insights
Headcount

6 month growth

4%

1 year growth

25%

2 year growth

101%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
Airflow
MySQL
NoSQL
Data Science
BigQuery
SQL
Java
Postgres
AWS
Data Analysis
Snowflake
CategoriesNew
Data Engineering
Data Management
Data & Analytics
Requirements
  • 4+ years of professional data engineering experience
  • Proficient in one or more programming languages (Java, Scala, Python)
  • Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
  • Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, 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 with financial or compliance data, bonus if in similar business domains, such as payment systems, credit cards, bank transfers, blockchains, etc
  • Experience in data provenance and governance
  • Internal knowledge of open source or related big data technologies
  • Ability to tackle complex and ambiguous problems
  • Self-starter who takes ownership, gets results, and enjoys moving at a fast pace
  • Excellent communication skills, able to collaborate with across remote teams, share ideas and present concepts effectively
Responsibilities
  • Collaborating with business teams on the design, deployment and continuous improvement of the scalable data platform
  • Being a domain expert on data modeling, data pipelines, data quality and data warehousing
  • Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs
  • Developing integrations with third party systems to source, qualify and ingest various datasets
  • Enabling data analytics and visualization tools to extract valuable insights from the data to enable data-driven decisions
  • Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements