Senior Data Engineer

Location
Sleepy Hollow, NY, United States
Posted
Mar 21, 2019
Ref
15730BR
Required Education
Bachelors Degree
Position Type
Full time
Known for its scientific and operational excellence, Regeneron is a leading science-based biopharmaceutical company that discovers, invents, develops, manufactures, and commercializes medicines for the treatment of serious medical conditions. Regeneron commercializes medicines for eye diseases, high LDL-cholesterol, atopic dermatitis and a rare inflammatory condition and has product candidates in development in other areas of high unmet medical need, including rheumatoid arthritis, asthma, pain, cancer and infectious diseases.

Summary:
The Data Engineering team is an integral part of enabling Regeneron Pharmaceuticals Inc. to make data-driven decisions as we scale the science. "Make Great Medicine. And then do it again " is what we are passionate about. Our team provides the data engineering muscle needed to make sense of petabytes of data. We partner with data science and engineering teams to build analytical solutions for our world class Research in the Cloud. We are a group of data engineers that thrive on challenging data problems. As a Senior Data Engineer on our team you would help solve problems like

• How do we leverage Spark, Presto, Redshift , RDS and other data tech to make sense of data in our 3+PB data warehouse?

• Connecting & Unifying data, What is the best way to source and integrate data from numerous internal / External sources

• How can we best use data to create insights that will drive the business?

Responsibilities:

• Dive deep into Regeneron Data Services in the Cloud and Post-production initiatives and data.

• Build incredibly valuable datasets that will be leveraged across Regeneron Pharmaceuticals Inc..

• Creatively explore how to use data to continually add value to Regeneron. Translate data questions into flexible methodologies that scale to answer broad problems across the organization.

• Be a bridge between data engineering and the business, enabling insight that can empower better decision-making.

• Be comfortable outside of your comfort zone - explore new tech, make your own tool, or find a new way to address an old problem.

Requirements:

• Bachelor's degree in relevant field.

• 7+ year - Relevant Experience

• 5+ working as a big data developer/engineer

• Batch-driven ETL over distributed data (e.g. Hadoop, Spark, and MPP databases)

• Able to write complex SQL in your sleep

• Big Data tech (Presto, Spark, Nifi , AirFlow, and/or Hive)

• Programming experience manipulating and analyzing data (Python or Scala)

• Experience with sourcing and modeling data from application APIs

• Virtualized/containerized/distributed computing environment experience a plus

• Understanding of MPP/columnar data warehouse solutions (Redshift, Vertica, etc.) a plus

• Technical background in data with deep understanding of issues in multiple areas such as data management, data analysis, query processing, distributed processing, high availability, statistical, data mining, machine learning and operational excellence of production systems.

• Bio-Tech & Pharma industry experience is a plus

#LI-EG2
#dice

This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron's unwavering commitment to combining good science & good business.

To all agencies: Please, no phone calls or emails to any employee of Regeneron about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron via-email, the internet or in any form and/or method will be deemed the sole property of Regeneron, unless such search firms/employment agencies were engaged by Regeneron for this position and a valid agreement with Regeneron is in place. In the event a candidate who was submitted outside of the Regeneron agency engagement process is hired, no fee or payment of any kind will be paid.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.