Join Abbott: Principal Data Engineer in Medical Devices

Abbott is a global healthcare leader dedicated to helping people live more fully at all stages of life. Our innovative portfolio includes leading businesses and products in diagnostics, medical devices, nutritionals, and branded generic medicines. With a team of 114,000 colleagues, Abbott serves people in more than 160 countries.

About Our Medical Devices

Our medical devices division, generating over $14 billion in revenue in 2021, is a global leader in the industry. We focus on improving heart health, enhancing the quality of life for individuals with chronic pain and movement disorders, and aiding over 500,000 people with diabetes to manage their condition more effectively.

Why Work at Abbott?

When you join Abbott, you'll have the opportunity to:

• Engage in meaningful work that impacts lives
• Grow and learn within an international company
• Take advantage of free medical coverage for employees* through the Health Investment Plan (HIP) PPO
• Benefit from an excellent retirement savings plan with high employer contributions
• Receive tuition reimbursement and access to the Freedom 2 Save student debt program
• Leverage the FreeU education benefit, an affordable and convenient path to earning a bachelor’s degree
• Join a company recognized globally as a great place to work and one of the most admired companies by Fortune

About the Opportunity

We are seeking a Principal Data Engineer to work from our locations in Princeton, NJ, Chicago, IL, Plano, TX, or Minneapolis, MN. In this role, you will collaborate with cross-functional product teams to design, develop, and deploy advanced data engineering techniques. Your work will extract valuable insights from large and complex medical datasets, both structured and unstructured.

Key Responsibilities

• Lead and contribute to major data engineering initiatives from inception to delivery.
• Analyze data to identify trends and extract insights.
• Collaborate with product and engineering teams to define data requirements.
• Design and implement data models supporting various product use cases.
• Develop and maintain scalable data architectures.
• Recommend appropriate data storage solutions to ensure data accessibility and integrity.
• Optimize data ingestion processes for improved reliability and performance.
• Establish monitoring and alerting systems for data pipeline management.
• Support data infrastructure needs like cluster management and permissions.
• Create and deliver educational documentation on data best practices.
• Communicate technical concepts effectively to both technical and non-technical audiences.

Required Education and Experience

To be considered for this role, you will need:

• A Master’s Degree in Data Science, Computer Science, Statistics, or related field
• 10 years of experience in data engineering with a focus on data architecture and data ingestion
• Experience in the Life Science Industry
• Strong understanding of data modeling and analytics concepts
• Proven experience with data pipeline and platform development
• Proficiency in data integration, ETL tools, and data engineering programming languages (Python, Scala, SQL)
• Experience with Data Ops in Cloud Computing environments (AWS, Azure, GCP)
• Knowledge of data streaming technologies like Kafka and Debezium
• Expertise with data visualization tools (Tableau, Power BI)
• Strong understanding of data security principles
• Experience with CI/CD pipelines and automation tools
• Excellent problem-solving and communication skills

Preferred Qualifications

• Experience with healthcare domain data, including Electronic Health Records (EHR)
• Proficiency with building domain ontologies
• Knowledge of data governance and compliance policies

The base pay for this position is $95,000.00 – $190,000.00. In specific locations, the pay range may vary. For additional information, visit our .