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 109,000 colleagues serve people in more than 160 countries.

For years, Abbott’s medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether it’s glucose monitoring systems, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier. Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine ?ngersticks.

Our location in Sylmar, CA currently has an opportunity for a Data Engineer.   The Data Engineer will be responsible for providing analytics solutions that complement efforts towards clinical and economic evidence generation. The candidate will be responsible for working on complex problems in the field of implantable medical technology, studying outcomes of life-saving therapies for cardiovascular and neurological disease states. He or she will use statistical modeling, algorithmic, data mining, and visualization techniques.

The candidate should be able to collaborate effectively with internal stakeholders and cross-functional teams; apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact clinical questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to a non-technical audience. Candidate will work on team with scientists and physicians to prepare scientific conference presentations and publications.

WHAT YOU’LL DO

  • Design and develop high-performance data architectures, which support data warehousing, real-time ETL, and batch big-data processing
  • Solve analytical problems and effectively communicate methodologies and results
  • Draw inferences and conclusions
  • Create dashboards and visualizations of processed data, identify trends, anomalies
  • Translate project needs and goals into a data driven analytical approach
  • Be accountable for the successful implementation and support of data analysis, data investigation for health economics and outcomes projects
  • Be accountable for the assessment of technical risks around data
  • Understand the context of big data and its implications around privacy
  • Work autonomously in a fast-paced environment
  • Work with a broad range of technologists and support personnel both within and outside of Abbott
  • Possess analytical skills with a solid foundation in: programming (R, SAS, Python, SQL, NoSQL) and data/database design

EDUCATION AND EXPERIENCE YOU’LL BRING

Required

  • Bachelor’s degree in one or more following disciplines: Computer Science; Statistics; Engineering; Data Science; Informatics; Machine Learning; Mathematics.
  • Minimum of 5-7 years of experience preferably at a startup, mid- to large-sized corporation
  • Strong oral and written communication skills
  • Working knowledge in either SQL (Oracle, PostgreSQL, SQL Server or Redshift) or NoSQL (Cassandra, HBase, MongoDB, Cloudera Impala, Dynamo, Redis, other).
  • Programming experience in one of these languages: Python, C++, C#, Java, XML, Objective-C, Scala, Erlang, F#

Preferred

  • Prior experience in R or SAS
  • Prior experience in data warehousing, data modeling, ETL and SQL
  • Prior experience with a major BI Tool such as Looker, MS BI Tool, Tableau, QlikView, BIRST, Cognos, SAP BI
  • Prior experience or working knowledge with one or more of the following tools and technologies: Spark, Clojure, Hive, Spark, Pig, Redshift
  • Interest in developing predictive analytics and machine learning techniques to solve complex problems.

WHAT WE OFFER

At Abbott, you can have a good job that can grow into a great career. We offer:

  • Training and career development, with onboarding programs for new employees and tuition assistance
  • Financial security through competitive compensation, incentives and retirement plans
  • Health care and well-being programs including medical, dental, vision, wellness and occupational health programs
  • Paid time off
  • 401(k) retirement savings with a generous company match
  • The stability of a company with a record of strong financial performance and history of being actively involved in local communities

Learn more about our benefits that add real value to your life to help you live fully:  www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

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Ref ID: 00320-9502963120 Classification: Sr. Software Engineer Compensation: $60.00 to $65.00 hourly **** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send