Senior Software Engineer, Data Platform
@
Circle
Develops and maintains scalable data infrastructure and pipelines to support data analytics and machine learning initiatives, ensuring data quality and accessibility across the organization.
AWS
Azure
GCP
Kubernetes
Terraform
Docker
Circle
This job is about being a Senior Software Engineer for the Data Platform team in the company that does building a more inclusive global economy through programmable internet commerce; you will do design, build, and maintain data infrastructure that powers Circle's data platform, enabling data-driven decision making across the organization.
Key Responsibilities:
- Design, build, and maintain data infrastructure that powers Circle's data platform
- Collaborate with data scientists, analysts, and engineers to understand data needs and implement solutions
- Develop and maintain data pipelines that extract, transform, and load data from various sources
- Implement data quality checks and monitoring to ensure data accuracy and reliability
- Optimize data models and queries for performance and scalability
- Contribute to the architecture and design of Circle's data platform
- Mentor junior engineers and promote best practices in data engineering
Requirements:
- 5+ years of experience in software engineering with a focus on data infrastructure
- Strong programming skills in languages such as Python, Java, or Scala
- Experience with big data technologies (e.g., Spark, Hadoop, Kafka)
- Proficiency in SQL and experience with data warehousing solutions
- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of data modeling and database design principles
- Understanding of ETL processes and data pipeline architectures
- Experience with data orchestration tools (e.g., Airflow, Luigi)
- Ability to work in a fast-paced, collaborative environment
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
This job is about being a Senior Software Engineer for the Data Platform team in the company that does building a more inclusive global economy through programmable internet commerce; you will do design, build, and maintain data infrastructure that powers Circle's data platform, enabling data-driven decision making across the organization.
Key Responsibilities:
- Design, build, and maintain data infrastructure that powers Circle's data platform
- Collaborate with data scientists, analysts, and engineers to understand data needs and implement solutions
- Develop and maintain data pipelines that extract, transform, and load data from various sources
- Implement data quality checks and monitoring to ensure data accuracy and reliability
- Optimize data models and queries for performance and scalability
- Contribute to the architecture and design of Circle's data platform
- Mentor junior engineers and promote best practices in data engineering
Requirements:
- 5+ years of experience in software engineering with a focus on data infrastructure
- Strong programming skills in languages such as Python, Java, or Scala
- Experience with big data technologies (e.g., Spark, Hadoop, Kafka)
- Proficiency in SQL and experience with data warehousing solutions
- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of data modeling and database design principles
- Understanding of ETL processes and data pipeline architectures
- Experience with data orchestration tools (e.g., Airflow, Luigi)
- Ability to work in a fast-paced, collaborative environment
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
