Staff Data Analytics 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 113,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Leading an active lifestyle is important to the many people we serve. In Abbott's Heart Failure (HF) division, we are advancing the treatment of heart and vascular disease through breakthrough medical technologies, allowing people to restore their health and get on with their lives.

Staff Data Analytics Engineer

We are looking for experienced, high caliber Staff Data Analytics Engineer to join our Software Research & Development team.

This team is part of a culturally diverse global team sharing the same goal, and is comprised of highly skilled, experienced, motivated, ever-curious and thus ever-learning individuals. As part of this team, you will design, develop, and document software applications used to process and display medical device data.

YOU'RE GOOD AT

• Creating a Data Analytics platform to perform analysis on complex and dynamic data that allows visualizing the data from various data sources and helps decision making to improve patient outcomes.
• Working with project stakeholders to identify business needs and gather requirements for data analysis or deployment of already existing advanced analytics solutions and BI tools.
• Scoping & delivering projects with minimal guidance and managing risks.
• Provide mentorship to other team members and able to bring together diverse skill sets.
• Utilizing the time and resources in an efficient, cost-conscious manner to ensure that scope & timelines are feasible.
• Developing analytical solutions with hands on experience in analytics delivery through the entire life cycle of analytics project.
• Provide technical support in response to inquiries from physicians, health care professionals, and field staff.
• Design and implement various database queries, stored procedures, etc.
• Debug, troubleshoot, and isolate software problems as well as offers strategic solutions, analysis, and advice regarding identified issues for future development.
• Working pro-actively with the various stake holders to accommodate their reporting needs during audits or major releases.
• Good communication skills and engaging effectively with various internal, external stake holders and leadership team.

Education and Experience You'll Bring

Required

• Bachelor's degree in software engineering, computer science, or a related engineering field or an equivalent combination of education and work experience.
• Minimum 5 years progressively more responsible work experience in a range of software engineering disciplines using a variety of programming methods.
• Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization, and with health care professionals, physicians, and field staff.
• Strong organizational and follow-up skills, as well as attention to detail.
• Ability to work within a team and as an individual contributor in a fast-paced, changing environment.
• Strong proficiency in Data Algorithms, Data Structures, statistics (concepts and methodologies) and its application.
• Strong experience implementing Data Analytics solutions in at least one of the prominent cloud providers (Azure, AWS, GCP).
• Experience with object-oriented programming language(s), relational databases, formal software development methodologies, and source code management.

Preferred

• Experience with cloud computing (Azure, AWS, etc.), web development , multi-threading and networking.
• Experience with Microsoft SQL Server, Oracle Database, and PostgreSQL.
• Ability to work in a highly matrixed and geographically diverse business environment.
• End-End Data management - ETL/ELT tools (Matillion/Informatica/Alteryx), Data quality and evaluation tools, traditional databases (SQL Server, Oracle, Postgress), Cloud native databases (Redshift, Synapse, BigQuery).
• Experience with any one or more of these programming languages - Java, C#, Python.
• Experience with Big data technologies (Hadoop ecosystem, Spark).
• Experience with Data warehouse solutions (Teradata, Azure SQL DW/Synapse).

The salary for this role is between:

N/A

JOB FAMILY:

Product Development

DIVISION:

HF Heart Failure

LOCATION:

United States > Pleasanton : 5000 Franklin Dr

ADDITIONAL LOCATIONS:

United States > Massachusetts > Burlington : 168 Middlesex Turnpike

WORK SHIFT:

Standard

TRAVEL:

Yes, 5 % 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)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf