Data Engineer
Core
Design, implement, test, and operate cloud-native, data-driven services and applications across Q2's Fraud Intelligence Platform.
Role type
Data Engineer
Builds
Cloud-native services and applications for the Fraud Intelligence Platform
Domain
Fintech / Digital Banking / Fraud Detection
Deliverable
production ML models
Required skills
Data transformations, data orchestration, data pipelines, SQL, NoSQL, distributed file storage, distributed systems architecture, Apache Airflow, dbt, Kafka, Snowflake, SQL Server, Postgres, DynamoDB, Python, C#, Golang, Bash, GitLab, Azure DevOps, Terraform, Argo CD, Kubernetes, Docker, Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker
Preferred skills
None stated
Technologies
Apache Airflow, dbt, Kafka, Snowflake, SQL Server, Postgres, DynamoDB, GitLab, Azure DevOps, Terraform, Argo CD, Kubernetes, Docker, Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker
Responsibilities
Design, implement, test, and operate cloud-native data-driven services and applications
Seniority
Mid-level (2+ years experience)
