at Baxter Healthcare Corporation in Deerfield, Illinois, United States
Job Description
This is where you save and sustain lives
At Baxter, we are deeply connected by our mission. No matter your role at Baxter, your work makes a positive impact on people around the world. You'll feel a sense of purpose throughout the organization, as we know our work improves outcomes for millions of patients.
Baxter's products and therapies are found in almost every hospital worldwide, in clinics and in the home. For over 85 years, we have pioneered significant medical innovations that transform healthcare.
Together, we create a place where we are happy, successful and inspire each other. This is where you can do your best work.
Join us at the intersection of saving and sustaining lives- where your purpose accelerates our mission.
Your Role at Baxter
This is where your work saves lives
As a Principal Data Engineer at Baxter, you will contribute directly to our mission to empower clinicians and health systems with digital solutions to make a difference in patients and clinicians' lives. It's ambitious work-and you're not on your own. You will play a key role in design, development and support of cloud based clinical data platform and data applications within the Digital Platforms & Innovation team.
The data platform will support data ingestion from various on-premise and cloud-based data sources and data processing by leveraging various big data tools. The data platform will also support various BI and ML applications to develop actionable insights that improve clinical outcomes, benefit customer experience. You will support our software developers, database architects, analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
Your Team
As a Principal Data Engineer, you will be a part of the Platform Engineering & Architecture team, which supports both new development, sustainment of existing connectivity, and other digital solutions. You will also directly work with teams from other business units to onboard and develop data applications to support their products on the data platform. You will work with a multi-functional team that consists of other engineering disciplines, operations, and quality assurance. We encourage partnership, collaboration and prioritize building relationships with each other. Our teams support innovation and out-of-the-box thinking balanced with shared expertise and accountability.
What you will be doing
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure Data Factory, Azure Databricks and other Azure 'big data' technologies.
Build data governance framework including data cataloging, access management, data auditing and data lineage supporting security and privacy compliance requirements for the data platform containing Protected Health Information (PHI).
Setup data processing workflow leveraging Azure Databricks, Unity Catalog, Auto-Loader, in Apache Spark notebooks using python or SQL languages.
Monitor and optimize data processing workloads to reduce processing time and overall compute cost.
Design and develop scalable and cost-effective data storage architecture for Medallion data architecture.
Build analytics framework that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
What you will bring
Bachelor's Degree (Software Engineering or comparable technical subject area)
Databricks Certified Data Engineer Associate V3 certification is highly desired.
5+ years of development experience in building and optimizing 'big data' data pipelines, architectures, and data sets. with enterprise grade cloud data platform.
Build processes supporting data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
Working knowledge of message queuing, stream processing, and highly... For full info follow application link.
Equal Employment Opportunity
Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.
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