Senior Data Engineer
Financial Data
Confirmed live in the last 24 hours
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.
Financial Services
Crypto & Web3

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
BigQuery
SQL
Java
Postgres
AWS
Data Analysis
Snowflake
CategoriesNew
Data Engineering
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 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
  • Excellent communication skills, able to collaborate with across remote teams, share ideas and present concepts effectively
Responsibilities
  • Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs
  • Surfacing data to both internal and customer-facing applications for analytical, financial, and regulatory purposes
  • Developing integrations with third party systems to source and/or distribute various datasets
  • Continually improve the operations, monitoring and performance of the data warehouse
  • Re-thinking how data is stored and processed today, within data platforms and outside among Circle business teams and external applications
  • 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 financial data