Data Engineer (Remote)

Quest Diagnostics is seeking a Data Engineer to support its enterprise data platform and healthcare analytics initiatives. The role focuses on designing, developing, testing, and deploying scalable data integration, transformation, warehousing, and machine learning data solutions while ensuring compliance with data governance, security, and healthcare regulations.

Responsibilities:

• Act as a trusted technical advisor to business customers and internal teams, solving complex data challenges related to healthcare analytics
• Engineer and prepare both internal and customer-facing datasets, ensuring strict adherence to defined technical specifications, internal data standards, and external Statements of Work (SOWs)
• Develop and maintain robust, scalable data pipelines to acquire, transform, and provision data for analytics and data science initiatives
• Design and build data models within cloud data warehouses (e.g., Google BigQuery, Snowflake) that are optimized for performance and scalability
• Collaborate with SD3 Data Scientists to productionize and manage the handoff of machine learning model inferences into our persistent data stores
• Partner with architecture and lead engineers to implement and adhere to modern DevSecOps standards, including CI/CD and version control using GitHub
• Ensure all data solutions are compliant with data governance, security policies, and healthcare regulations (e.g., HIPAA)
• Contribute to organizational improvements in processes and technology by adopting new tools and best practices in data engineering
• Perform and support unit, integration, and performance testing to ensure that quality and reliability of data pipelines

Requirements:

• 3-5 years of data development experience with a focus on building data pipelines and ETL processes
• 3-5 years of experience with the cloud (AWS, Azure and/or Google Cloud Platform) – GCP experience highly preferred
• 3-5 years of experience in cloud-based data warehouses (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics)
• 3-5 years of experience with cloud-based ETL/ELT tools (Matillion, Glue, Data Factory). Matillion experience is strongly preferred
• Bachelor's Degree (Computer Science, Engineering, Information Systems, Mathematics, Business Analytics, or relevant degree)
• Open mindset, ability to quickly adapt new technologies and learn new practice
• Demonstrated knowledge of SQL, Java, Python, C/C++, Scala, Julia, and/or other modern data and analytics programming languages
• Demonstrated knowledge of data modeling principles and database systems
• Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus
• Demonstrated knowledge of operating systems (macOS, Microsoft Windows, Linux, Solaris and/or UNIX)
• Coding
• Data Warehousing
• Database schema optimization
• Database Systems
• Critical thinking skills
• Business communication
• ETL
• Experience with version control systems (Git)
• Understanding of and willingness to embrace Agile Principles (Scrum)
• Master's Degree (Computer Science, Engineering, Information Systems, Mathematics, Business Analytics, or relevant degree)