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Principal Engineer, Data

Design and implement scalable data pipelines supporting AI/ML clinical limits calculations
Bangalore
Expert
3 days ago
Baxter

Baxter

A global medical products company that specializes in dialysis treatments, critical care, and hospital products.

Senior Data Engineer

At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond.

Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results.

Here, you will find more than just a job—you will find purpose and pride.

Job Summary:

We are seeking a highly experienced Senior Data Engineer to join our Digital Team for Infusion Pumps product. As a Senior Data Engineer, you will play a critical role in designing, developing, and deploying scalable and reliable data pipelines to support our AI/ML-based product that calculates clinical limits for infusion therapy executed with Infusion Pumps. Your expertise in data engineering, architecture, and software development will help us improve the accuracy and reliability of our product, ultimately enhancing patient care.

Key Responsibilities:

  • Design, develop, and deploy scalable and reliable data pipelines to collect, process, and store large datasets of historical infusion therapy data

  • Collaborate with cross-functional teams, including data scientists, clinicians, and engineers, to understand data requirements and develop data pipelines that meet those requirements

  • Ensure data pipelines are compliant with regulatory requirements, including but not limited to:

    • FDA guidelines for Software as a Medical Device (SaMD)

    • CE marking requirements

    • ISO 13485:2016

  • Design and implement data architecture to support AI/ML model development and deployment

  • Choose and implement data storage solutions, including but not limited to:

    • Relational databases (e.g., PostgreSQL, MySQL)

    • NoSQL databases (e.g., MongoDB, Cassandra)

    • Data warehouses (e.g., Amazon Redshift, Google BigQuery)

  • Ensure data is properly indexed, partitioned, and optimized for query performance

  • Develop and deploy data processing workflows to transform and load data into data warehouses or other data storage solutions

  • Implement Extract, Transform, Load (ETL) processes to extract data from various sources, transform it into a standardized format, and load it into data warehouses or other data storage solutions

  • Ensure data is properly validated, cleaned, and formatted for AI/ML model development and deployment

  • Ensure data is properly secured and compliant with regulatory requirements, including but not limited to:

    • Data encryption

    • Access control

    • Data backup and recovery

  • Collaborate with the security team to ensure data security and compliance

  • Collaborate with cross-functional teams, including data scientists, clinicians, and engineers, to understand data requirements and develop data pipelines that meet those requirements

  • Communicate complex technical concepts to non-technical stakeholders, including clinicians and product managers

  • Participate in cross-functional teams to ensure data pipeline development and deployment meet business objectives

Education and Experience:

  • 10-15 years of experience in data engineering, software development, or a related field

  • Strong background in programming languages, including but not limited to:

    • Java

    • Python

    • C++

  • Experience with data engineering frameworks, including but not limited to:

    • Apache Beam

    • Apache Spark

    • Apache Flink

  • Experience with data storage solutions, including but not limited to:

    • Relational databases

    • NoSQL databases

    • Data warehouses

  • Experience with data processing and ETL tools, including but not limited to:

    • Apache NiFi

    • Talend

    • Informatica PowerCenter

Skills:

  • Strong analytical and problem-solving skills

  • Excellent communication and collaboration skills

  • Ability to work in a fast-paced environment with multiple priorities

  • Experience with regulatory requirements for SaMD

  • Familiarity with ISO 13485:2016 and FDA guidelines for SaMD

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.

Reasonable Accommodations

Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please let us know the nature of your request along with your contact information.

Recruitment Fraud Notice

Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.

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Principal Engineer, Data
Bangalore
Engineering
About Baxter
A global medical products company that specializes in dialysis treatments, critical care, and hospital products.