Data Engineer – Healthcare, AWS Pipelines & Serverless

Compunnel, Inc. (old); New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Compunnel, Inc. is seeking a software engineer to design, develop, and maintain data pipelines for efficient ingestion, transformation, and processing. You will implement Node.js Express backend APIs with unit tests and utilize AWS Lambda for serverless tasks.

The role involves deploying containerized apps with AWS EKS, provisioning AWS resources (EC2, S3, API Gateway, SQS, SES, Pinpoint), and collaborating with DevOps and Data Science teams.

Qualifications

• Proficiency in Python programming.
• Experience with AWS cloud services.
• Knowledge of PySpark for big data processing.
• Strong SQL querying and data manipulation.
• Familiarity with healthcare data domains.

Responsibilities

• Design and deploy containerized applications using AWS EKS for scalability.
• Develop data pipelines and backend APIs, with unit tests to ensure reliability.
• Collaborate with DevOps and Data Science to understand data needs and deliver solutions.

Skills

Python

AWS

Pyspark

SQL

Healthcare domain

Job description

Compunnel, Inc. is seeking a software engineer to design, develop, and maintain data pipelines for efficient ingestion, transformation, and processing. You will implement Node.js Express backend APIs with unit tests and utilize AWS Lambda for serverless tasks.

The role involves deploying containerized apps with AWS EKS, provisioning AWS resources (EC2, S3, API Gateway, SQS, SES, Pinpoint), and collaborating with DevOps and Data Science teams.