Senior Python Engineer Data Engineering
Hybrid Phoenix AZ
Were hiring for one of our premier consulting clients building next-generation data and AI platforms.
About the Role
Youll design scalable Python frameworks APIs and data services that power analytical and AI workloads on AWS. This role is ideal for engineers who enjoy combining backend development with data architecture.
Key Responsibilities
-
Build Python-based data frameworks and APIs
-
Implement and optimize AWS-native data workflows (Lambda S3 API Gateway)
-
Collaborate with data scientists on model operationalization
-
Design validation logging and observability logic for data quality
Requirements
-
5 10 years of Python (OOP pandas SQLAlchemy)
-
REST API and AWS experience
-
Familiarity with data modeling and integration patterns
-
Hands-on with Git CI/CD and Agile
Preferred
-
Containerization (Docker/Kubernetes)
-
Kinesis/Kafka or data streaming experience
-
Exposure to AI/ML model deployment
Senior Python Engineer Data Engineering Hybrid Phoenix AZ Were hiring for one of our premier consulting clients building next-generation data and AI platforms. About the Role Youll design scalable Python frameworks APIs and data services that power analytical and AI workloads on AWS. This role ...
Senior Python Engineer Data Engineering
Hybrid Phoenix AZ
Were hiring for one of our premier consulting clients building next-generation data and AI platforms.
About the Role
Youll design scalable Python frameworks APIs and data services that power analytical and AI workloads on AWS. This role is ideal for engineers who enjoy combining backend development with data architecture.
Key Responsibilities
-
Build Python-based data frameworks and APIs
-
Implement and optimize AWS-native data workflows (Lambda S3 API Gateway)
-
Collaborate with data scientists on model operationalization
-
Design validation logging and observability logic for data quality
Requirements
-
5 10 years of Python (OOP pandas SQLAlchemy)
-
REST API and AWS experience
-
Familiarity with data modeling and integration patterns
-
Hands-on with Git CI/CD and Agile
Preferred
-
Containerization (Docker/Kubernetes)
-
Kinesis/Kafka or data streaming experience
-
Exposure to AI/ML model deployment
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