AWS Data Engineer: Scalable Pipelines & APIs

Compunnel, Inc.; Pennsylvania; On-site; USD 120,000 - 150,000; Full time

Job summary

Compunnel, Inc. is seeking a data engineering lead to design and implement scalable ETL pipelines and data products for critical trading applications. You will work with autonomy on end-to-end data solutions, from ingestion to API delivery, and archive data to data lakes for analytics.

The role demands expertise in Python, SQL, cloud services, and resilient API architectures, plus experience with monitoring stacks and modern data tooling. U.S.

Qualifications

• Expert-level Python and SQL programming required.
• Experience with AWS services and data lake/warehouse tooling.
• Strong API design and microservices experience.
• Proven ability to build scalable, resilient data pipelines.

Responsibilities

• Implement diverse data solutions with autonomy, building and maintaining ETL pipelines.
• Apply data quality, validation, anomaly detection, and AI/LLM approaches to data analysis.

Skills

Python

SQL

AWS Cloud Services

API design principles

Distributed systems

Data engineering

Tools

Docker

Kubernetes

Helm charts

Swagger/OpenAPI

Postman

GraphQL

RESTful API design

Job description

Compunnel, Inc. is seeking a data engineering lead to design and implement scalable ETL pipelines and data products for critical trading applications. You will work with autonomy on end-to-end data solutions, from ingestion to API delivery, and archive data to data lakes for analytics.

The role demands expertise in Python, SQL, cloud services, and resilient API architectures, plus experience with monitoring stacks and modern data tooling. U.S.