Data Engineer

21 days ago

Responsibilities

Design, implement, test, and operate cloud-native, data-driven services and applications for the Fraud Intelligence Platform.
Build and maintain data transformations, orchestration workflows, pipelines, and data replication systems.
Work with SQL and NoSQL databases, data warehouses, distributed file storage, and compute platforms.
Apply software engineering, distributed software design, and data-centric systems architecture practices.
Collaborate with experienced engineers and gradually assume greater responsibility for production systems.
Communicate fluently in written and spoken English.

Bachelor’s degree in Computer Science, Information Systems, or a similar field plus at least two years of related work experience, or an advanced degree.
Working knowledge of data transformations, data orchestration, data pipelines, and data replication.
Working knowledge of SQL and NoSQL databases, data warehouses, distributed file storage, and compute platforms.
Good understanding of software engineering, distributed software design, and data-centric systems architecture.
Applicants must be authorized to work for any employer in the United States.
Fluent written and oral communication in English is required.

Hybrid work opportunities.
Flexible time off.
Career development and mentoring programs.
Health insurance offerings and generous paid parental leave for eligible new parents.
Community volunteering and company philanthropy programs.
Employee peer recognition programs.
Q2 Spark Program support for volunteer work and nonprofit participation.

Amazon DynamoDBApache AirflowApache KafkaArgo CDBashC#DatabricksdbtDocker Go KubernetesMicrosoft SQL ServerPandasPostgreSQL PythonSnowflakeSQL Terraform