Data Engineer: Scalable Pipelines & Healthcare Analytics

QUEST DIAGNOSTICS INC; Secaucus (NJ); Remote; USD 110,000 - 160,000; Full time

Job summary

Quest Diagnostics Inc. is seeking a data engineering professional to design, develop, test, and deploy scalable data integration and transformation solutions in our enterprise data platform.

You will work with business customers to design large-scale data processing, build data pipelines for analytics, and enable AI/ML model support for patient analytics. Qualifications include 3–5 years of data development, cloud data warehouse experience (Snowflake, BigQuery, Redshift), and proficiency in SQL

Qualifications

• Bachelor’s degree in a STEM or analytics field.
• 3–5 years building data pipelines and ETL processes.
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse).
• Proficiency in SQL, Python/Java and data modeling.

Responsibilities

• Design, develop, test, and deploy scalable data integration and transformation solutions.
• Build and maintain robust data pipelines for analytics and data science initiatives.
• Collaborate with data scientists and engineers, adhering to DevSecOps standards and CI/CD practices.

Skills

SQL

Python

Data modeling

ETL

Java

Critical thinking

Business communication

Education

Bachelor’s Degree in CS/Engineering/IS/Math

Master’s Degree preferred

Tools

Snowflake

BigQuery

Redshift

Matillion

AWS/Azure/GCP

Data Factory

Job description

Quest Diagnostics Inc. is seeking a data engineering professional to design, develop, test, and deploy scalable data integration and transformation solutions in our enterprise data platform.

You will work with business customers to design large-scale data processing, build data pipelines for analytics, and enable AI/ML model support for patient analytics. Qualifications include 3–5 years of data development, cloud data warehouse experience (Snowflake, BigQuery, Redshift), and proficiency in SQL