Hybrid Data Engineer for Scalable Data & AI

Pharming Healthcare, Inc.; New Jersey; Hybrid; USD 90,000 - 130,000; Full time

Job summary

Pharming Healthcare, Inc. is seeking a Data Engineer to build and operate scalable data pipelines and data models that enable analytics and AI across the organization. You will translate business requirements into practical data solutions while adhering to governance and security standards.

Based in Warren, NJ, this hybrid role involves collaboration with AI, data governance and infrastructure teams to deliver reliable data products and scalable data platforms for global functions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Management or related field, or equivalent experience.
• At least 4 years of progressive experience in data engineering or related disciplines.

Responsibilities

• Data engineering and platform delivery across batch and real-time pipelines.
• Build, maintain and enhance scalable data pipelines and integration processes.
• Develop and maintain data models, curated datasets, and reusable components.
• Translate architecture direction into engineering implementations using patterns for storage, processing, orchestration and access.
• Support reliability, performance and maintainability with automated testing, monitoring and documentation.
• Apply software engineering practices including CI/CD, version control and infrastructure as code.

Skills

SQL

Python

Data pipelines

ETL/ELT

Data modeling

CI/CD

Cloud platforms

Data governance

Communication

Education

Bachelor's degree in CS/Data Science/Engineering

Master's degree preferred

Tools

Airflow

dbt

Terraform

Git

Job description

Pharming Healthcare, Inc. is seeking a Data Engineer to build and operate scalable data pipelines and data models that enable analytics and AI across the organization. You will translate business requirements into practical data solutions while adhering to governance and security standards.

Based in Warren, NJ, this hybrid role involves collaboration with AI, data governance and infrastructure teams to deliver reliable data products and scalable data platforms for global functions.