Data Engineer (NYC or Boston)
Other
Data Engineer (NYC or Boston)
CIRCLE
Nowy Jork
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Office
Tech stack
Python
Java / Scala
Spark
Job description
Circle is a global internet finance company, built on blockchain technology, powered by crypto assets, and dedicated to helping people everywhere create and share value.
We’ve already made sending money around the world free and easy using blockchain technology with Circle Pay. With Circle Invest, we’re expanding our offerings with a cryptocurrency investment product, enabling anyone to buy and sell crypto assets. Through Circle Trade, we’re market makers for the top crypto coins and offer OTC trading services. In March 2018, Circle acquired Poloniex, one of the world's leading token marketplaces.
As a Data Engineer at Circle, you’ll work closely with the Data Science team productizing machine learning solutions and developing the scalable data pipelines that support these solutions.
Working in either Boston or San Francisco, you’ll have the opportunity to significantly impact internal data consumption and decision-making (risk and compliance, growth, and marketing) as well as our customer experience.
Projects we are working on (and you may work on, too)
- Productize machine learning models and build a world-class automated evaluation system to manage risk exposure while delivering the best possible experience to our customers
- Design, build, and implement scalable streaming data pipelines and ETL frameworks to increase data access and decrease analysis and decision times across the organization
- Build an open transaction protocol where users can send money and exchange value that utilizes both new and traditional technologies to deliver value the fastest and cheapest way possible
- Leverage blockchain technology in a new transaction framework so that Financial Institutions an exchange value and associated metadata in a compliant manner.
You'll also
- Own software throughout the entire development life-cycle
- Share ideas to improve our product and processes, make decisions that have significant impact, and provide feedback so we can continue to get better
- Develop your skills, collaborate across teams and continue to learn.
What you'll bring to Circle
- Experience writing high quality code in Python plus another OOP language (Java, Scala, C++, Go, etc)
- Experience working with RDBM systems, particularly familiarity with SQL
- 3+ years experience building distributed solutions in Spark, MapReduce or other MPP system with associated data models and datastores (e.g., Redshift, Cassandra, HBase, Parquet)
- Production development of event-based applications using frameworks such as Kinesis, Kafka, Spark Streaming, or similar
- Familiarity with machine learning techniques, continuous deployment pipelines and tools, and AWS technology stack a plus
- Desire to work across internal teams to identify requirements and iterate on solutions
- Debug complex production issues across various levels of the tech stack
- Interest in impacting the way money moves between people