Staff Data Engineer at Thermo Fisher Scientific in Pittsburgh, Pennsylvania

Job Description:

Work Schedule

Standard (Mon-Fri)



Environmental Conditions

Office



Job Description



As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.




Location/Division Specific Information



The team focuses on data democratization using a host of services ranging from Oracle Exadata to modern data warehouse solutions. These data are used throughout the company to enable commercial operations, audience generation, and sales activities. Your work will be seen and used by fellow data scientists, business partners, sales representatives, and customers of Thermo Fisher. You will be expected to learn quickly and offer creative and expeditious solutions to novel challenges.


You will report to a senior member of the team and operate as a key asset within the Corporate Data Science Center of Excellence, a team comprised of data scientists, data engineers, business analysts, program/product managers, and others.



Key Responsibilities

• Independently develop and deploy data solutions using industry standard tech stacks


• Work closely with data scientists and cross-functionally to gather and satisfy requirements


• Follow agile development methodologies to deliver solutions and product features by following standard DevOps practices

• 4-year degree in computer science (or equivalent) OR 8- to 10-years of experience in data services/data engineering

• 8+ years using Python and SQL


• Fluency in Databricks and Spark, including pipeline development, automation, and monitoring


• Hands-on experience designing and administrating relational database solutions, including Delta Lake, Oracle, and AWS Redshift


• 5 years or more experience using and managing AWS products, including Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, and others


• Ability to resolve complex technical issues quickly and independently


• Command of standard version and build control systems; git and Jenkins strongly preferred


• A self-starter with the drive and ability to deliver complex solutions rapidly


• Communicate effectively with technical and non-technical personnel in oral and written form