Meet Lingo, a new biosensing technology that provides users a window into their body. Lingo tracks key biomarkers – such as glucose, ketones, and lactate – to help people make better decisions about their health and nutrition. Biowearable technology will digitize, decentralize and democratize healthcare, enabling consumers to take control of their own health.

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 Data Engineer position works out of our Alameda, CA location in Lingo.

What you’ll do

• 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

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.

• Solve complex data problems to deliver insights that help the organization achieve its goals.

• Code in Python and Scala with tools like Apache Spark/Kafka to build a multi-cluster data warehouse.

• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.

• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.

• 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.

• Code in SQL to create curated data products.

Qualifications

• Bachelors Degree in any of the following: Math, Physics, Computer Science, Statistics, Economics, Quantitative Sciences

• Minimum 3 years in data engineering/analytics space

• Strong problem-solving skills

• Experience in any from MS Azure, AWS, Python, Spark, hive, HBase, Hadoop, Kafka, YARN etc.

• Attention to detail and organization/ documentation skills

• Ability to prioritize and triage deadline-driven tasks in a high-pressure environment

• Basic knowledge of distributed computing, parallel processing and large scale data management

• Experience manipulating and analyzing complex, high-volume data from varying sources

• Ability to communicate complex quantitative analysis in a clear, precise, actionable manner