In this role, you will be responsible for designing, developing, testing, and
deploying highly scalable, high performance data integration and transformation
solutions in Quest’s enterprise data platform and the HAS data product. You will
work with business customers to design large-scale data processing solutions,
develop data pipelines optimized for scaling, and designing, building, and
implementing data-driven systems to guide Quest’s reporting and analytics. This
includes developing processes and solutions for mining, acquiring, transforming,
standardizing, enhancing, migrating, verifying, and modeling Quest’s enterprise
data. In addition, you will enable and assist advanced analytics initiatives
that are building, training, deploying, and refining AI/ML models that
efficiently analyze vast quantities of data to best serve our patient
population.
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.
QUALIFICATIONS
Required Work Experience:
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)
Preferred Work Experience:
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)
Physical and Mental Requirements:
Open mindset, ability to quickly adapt new technologies and learn new
practice
Knowledge:
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)
Skills:
Coding
Data Warehousing
Database schema optimization
Database Systems
Critical thinking skills
Business communication
ETL
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept
unsolicited resumes from agencies. Quest will not be responsible for paying
agency fees for any individual as to whom an agency has sent an unsolicited
resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender
Identity/Religion/National Origin/Disability/Vets or any other legally protected
status.