Senior Data Engineer

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines.

Our 114,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION :

This position is open to our Chicago, IL, location in the Medical Devices Digital Solutions organization. Abbott Medical Devices, with revenue of >

$16.5B in 2023, is a global leader in providing life-changing technology for the management and treatment of people living with chronic conditions, including Diabetes, Cardiovascular disease, Chronic Pain, and Movement Disorders.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life.

You’ll also have access to :

• Career development with an international company where you can grow the career you dream of.
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO.
• An excellent retirement savings plan with high employer contribution.
• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This Senior Data Engineer position works out of the Chicago, IL office in the Medical Devices Digital Solutions organization.

The Sr. Data Engineer will work closely with cross-functional product teams and build high-quality data pipelines for high-end analytics solutions.

These solutions will generate insights from the organization's connected data and enable data-driven decision-making capabilities for the organization.

The Sr. Data Engineer will help develop standards, guidelines, and direction for data modeling and standardization that will directly contribute to enhancing the quality of patient care and developing innovative medical devices and therapy solutions.

Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.

WHAT YOU’LL DO

• Analyze data to identify trends and insights.
• Collaborate with product and engineering teams to define data requirements and drive data-driven decision-making.
• Design and implement data models to effectively support various product use cases.
• Create, deploy and optimize large scale data.
• Use extensive data engineering expertise to design and build solutions / products for analyzing large data sets and identify patterns and relationships.
• Manage data sources, organize data and create data assets using identified open source or proprietary tools.
• Develop and continuously optimize data ingestion processes for improved reliability and performance.
• Establish monitoring and alerting systems to proactively identify and address potential data pipeline issues.
• Develop and maintain internal tools to streamline data access and analysis for all teams.
• Create and deliver documentation to educate product teams on data best practices and tools.
• Communicate technical concepts effectively to both technical and non-technical audiences.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.

EDUCATION AND EXPERIENCE YOU’LL BRING

Required :

• Bachelor's Degree in Data Science, Computer Science, Statistics.
• Minimum 3 years in data engineering / analytics space.
• Strong problem-solving skills.
• Experience in any from MS Azure, AWS, Python, Kafka, and associated cloud data platforms, cloud data warehouse technologies (Snowflake / Redshift), and Advanced Analytical platforms (e.

g., Dataiku and Databricks).

• Attention to detail and organization / documentation skills.
• Ability to prioritize and triage deadline-driven tasks in a high-pressure environment.
• Experience manipulating and analyzing complex, high-volume data from varying sources.
• Ability to communicate complex quantitative analysis in a clear, precise, actionable manner.

Preferred :

Strong understanding of data modeling (conceptual, logical, and physical) using different data modeling methodologies and analytics concepts.

Expertise in data integration, ETL tools, and data engineering programming / scripting languages (Python, Scala, SQL) for data preparation and analysis.

Experience with triple stores or graph databases (e.g., GraphDB, Stardog, Jena Fuseki).

Proficient with building domain ontologies and relevant W3C standards - RDF, RDFS, OWL, SKOS, SPARQL and associated Ontology Editors (e.

g., TopBraid Composer, Protégé).

Knowledge of data governance and compliance policies.

Apply Now

Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives : www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life.

Abbott is an Equal Opportunity Employer, committed to employee diversity.

The base pay for this position is $72,700.00 $145,300.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY : Product Development

Product Development

DIVISION : MD Medical Devices

MD Medical Devices

LOCATION : United States >

United States >

Chicago : Willis Tower Building 233 S Wacker Dr.

WORK SHIFT : Standard

Standard

TRAVEL :

Yes, 10 % of the Time

MEDICAL SURVEILLANCE :

Not Applicable

SIGNIFICANT WORK ACTIVITIES :

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday).

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