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# Senior Data Engineer (Remote)

- **Company:** Quest Diagnostics Incorporated
- **Location:** Secaucus, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), LTE (Telecommunication), Adaptable Database Systems, Agile Methodology, Amazon Web Services, Automation of Tests, Microsoft Azure, Big Data, C++ (Programming Language), Cloud Computing, Cloud Database, Code Review, Information Systems, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Stores, Data Systems, Data Warehousing, Database Development, Database Schema, Software Design Patterns, Distributed Systems, Github, Python (Programming Language), Machine Learning, Performance Tuning, Scrum Methodology, Standard Sql, Scala (Programming Language), Google Cloud, Performance Testing, Snowflake, Julia, Git, Build Management, Containerization, Kubernetes, Information Technology, Google Bigquery, Azure Synapse Analytics, Software Version Control, Data Pipelines, Devsecops, Docker, Amazon Redshift, Programming Languages
- **Published:** September 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6371cb23badbe7a5

## About the Role

* 5-8 years of data development experience with a focus on designing and building data pipelines and ETL processes
 * 5-8 years of experience with the cloud (AWS, Azure and/or Google Cloud Platform) - GCP experience highly preferred
 * 5-8 years of experience in cloud-based data warehouses (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics)
 * 5-8 years of experience with cloud-based ETL/ELT tools (Matillion, Glue, Data Factory). Matillion experience is strongly preferred.
 * 2+ years in a technical lead or data/solution architecture capacity, leading the design of large-scale data solutions
 * Bachelor's Degree (Computer Science, Engineering, Information Systems, Mathematics, Business Analytics, or relevant degree)

Preferred Work Experience:

 * Experience with version control systems (Git) and leading DevSecOps / CI-CD practices
 * Understanding of and willingness to embrace Agile Principles (Scrum), including serving as a technical lead
 * Experience mentoring engineers and conducting design and code reviews
 * Experience defining data architecture standards and data governance across teams
 * Physical and Mental Requirements:
 * Open mindset, ability to quickly adapt new technologies and learn new practice
 * Master's Degree (Computer Science, Engineering, Information Systems, Mathematics, Business Analytics, or relevant degree)

Knowledge:

 * Demonstrated advanced knowledge of SQL, Java, Python, C/C++, Scala, Julia, and/or other modern data and analytics programming languages
 * Demonstrated expertise in data modeling principles, data architecture, and database systems.
 * Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.
 * Knowledge of data architecture frameworks, distributed systems, and performance optimization at scale

Skills:

 * Data solution design and architecture
 * Coding
 * Data Warehousing
 * Database schema optimization
 * Database Systems
 * Technical leadership and mentoring
 * Critical thinking skills
 * Business communication
 * ETL

## Description

* Serve as a senior technical advisor and subject matter expert to business customers, architects, and internal teams, solving the most complex data challenges related to healthcare analytics.
 * Lead the design and architecture of end-to-end data solutions, translating business requirements into scalable, reusable, and well-documented technical designs.
 * Define, drive, and govern data architecture standards, design patterns, and engineering best practices across the data engineering organization.
 * Engineer and oversee the preparation of internal and customer-facing datasets, ensuring strict adherence to defined technical specifications, internal data standards, and external Statements of Work (SOWs).
 * Architect, develop, and optimize robust, scalable data pipelines to acquire, transform, and provision data for analytics and data science initiatives.
 * Design and build performant, scalable data models and warehouse structures within cloud data warehouses (e.g., Google BigQuery, Snowflake) and guide their long-term evolution.
 * Partner with SD3 Data Scientists to productionize, operationalize, and manage the handoff of machine learning model inferences into our persistent data stores.
 * Establish and champion modern DevSecOps standards, including CI/CD, automated testing, and version control using GitHub, across the team.
 * Ensure all data solutions comply with data governance, security policies, and healthcare regulations (e.g., HIPAA), and help define and improve those policies.
 * Provide technical leadership and mentorship to junior and mid-level engineers, including leading design reviews and code reviews.
 * Lead organizational improvements in processes and technology by evaluating, recommending, and adopting new tools and best practices in data engineering.
 * Define and lead unit, integration, and performance testing strategies to ensure the quality, reliability, and scalability of data pipelines.