Sr. Data Engineer

Irvine, CA, United States
Nov 19, 2020
Required Education
Bachelors Degree
Position Type
Full time
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on Twitter , Facebook , Instagram , YouTube and LinkedIn .

Envision working with energetic colleagues and inspirational leaders. Now, place yourself in that mix; leading discussions, asking the right questions and driving results. All while wearing jeans to work!

Senior Data Engineer

Allergan Data Labs is on a mission to transform the Allergan Aesthetics business at AbbVie, the fourth largest pharmaceutical company in the world. Allergan Aesthetics brands include Botox, CoolSculpting, Juvéderm and many more. The medical aesthetics business is ripe for disruption and we're building a high performing product engineering

team to do just that

YOU ARE more than just a title, YOU ARE...
  • A Strong Technically Sound Sr. Data Engineer. You will work within a startup-oriented environment while having the backing of a larger company.


Software Development:
  • Writing production grade code to process, transport, analyze, and store data within distributed
  • systems.
  • Python, Scala, Java (Strong proficiency in at least 1)
  • SQL (must have)
  • Building Batch and Streaming pipelines with Apache Spark (must have)
  • Experience developing data products using microservices architecture (must have)
  • Developing high performance API to expose data products (must have)
  • Experience with implementing data quality checks (must have)
  • Exposure to serverless technologies (AWS Lambda/Step functions, Google Cloud Functions, Azure
  • Functions) (nice to have)
  • Experience with building and maintaining in-house code libraries for distribution (nice to have)
  • Knowledge of traditional data warehousing (Dimensional Modeling, ETL) (nice to have)

  • Experience with building and maintaining CI/CD pipelines using Gitlab CI, Circle CI , Jenkins or
  • other CI/CD tools (must have)
  • Managing infrastructure on AWS and potentially other cloud providers. (nice to have)
  • Managing configuration of systems with frameworks such as Terraform and Ansible. (nice to have)
  • Deploying and Managing and SQL and NoSQL databases. (nice to have)
  • Familiarity with logging and system monitoring solutions (nice to have)
  • System Architecture:
  • Designing and developing new distributed systems and components
  • Integrating both new and legacy platforms using various methods including APIs
  • Understanding of basic system and service level security
  • Writing technical documentation for system components



A Collaborative Work Ethic:
  • Must be collaborative and fun to work with, with good communication skills
  • Experience working with data scientists to productionize data science models
  • Coordinating and communicating with various stakeholders and partners including business and
  • technical leaders
  • Participating in project management through capturing and developing tasks and stories, assisting
  • in managing the backlog
  • Understanding of agile methodology
  • Mentoring junior team members

A Self-Driven Attitude:
  • Taking ownership of your work
  • Evaluating and learning new emerging technologies
  • Staying up to date on the latest trends in data engineering and data science


For this role, we're looking for a leader who is:
  • Excellence Focused
  • Optimistic
  • Open and Authentic

Job Type


Equal Employment Opportunity
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.