Staff Data Engineer Role

Join Abbott, a global leader in healthcare innovation, as a Staff Data Engineer. Be part of a dynamic team building robust big data solutions that drive impactful health technologies. This role offers the opportunity to work on advanced data engineering projects supporting the prevention, diagnosis, and treatment of diseases, with a focus on improving the lives of people with diabetes. Collaborate with experts across the globe in a technology-driven environment, utilizing modern cloud platforms and data tools to deliver insights and operational excellence.

Job Overview

As a key member of the Data Engineering & Analytics team, you will design, develop, and operationalize scalable big data pipelines and analytics capabilities. You will leverage your expertise to solve complex business challenges, support data-driven decision-making, and contribute to the definition and execution of Abbott's Big Data Strategy.

Key Responsibilities

• Develop and maintain big data pipelines and solutions in the cloud to handle complex datasets securely and efficiently.
• Collaborate with data engineers, analysts, and scientists to solve business problems using data engineering, data science, and machine learning approaches.
• Drive the implementation of IT solutions and help define Big Data Strategy for the organization.
• Operationalize data science solutions and uncover customer, product, and operational insights.
• Support building scalable, highly available, and secure software solutions for big data initiatives.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5-10 years of recent experience in Software Engineering, Data Engineering, or Big Data environments.
• Proficiency with Databricks and/or Spark; experience with cloud platforms such as AWS (S3, Redshift, Lambda, DynamoDB).
• Strong software development skills in Python, PySpark, Kafka, or Go, and a willingness to learn new languages as needed.
• Demonstrated ability to process and integrate large structured and unstructured datasets from multiple sources.
• Expertise in data cleaning, wrangling, visualization, and reporting.
• Familiarity with databases, BI applications, data quality assurance, and performance tuning.
• Excellent written, verbal, and listening communication skills.
• Ability to work effectively within a geographically distributed, asynchronous team in a fast-paced environment.
• Versatility, a passion for continuous learning, and a commitment to empowering team members.