Senior Data Product Engineer (Allergan Aesthetics Tech)

AbbVie•North Chicago, IL

8d•$198,411 - $230,000

About The Position

AbbVie's mission is to discover and deliver innovative medicines and solutions 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, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Requirements

Must have a BS in Computer Science, Mathematics, Statistics, Engineering, Electronics, or other quantitative field or foreign education equivalent & 5 years of experience as a Data Engineer.
Of experience required, must have 5 years:programming in Python &/or Java using object-oriented programming (OOP) & good software engineering principles;building batch & /or streaming pipelines using complex SQL transformations, DataFrame manipulations & big data technology;applying data quality checks & building data monitoring solutions;leveraging Git daily to manage complex code bases;building CI/CD pipelines using at least 1 of the following tools: GitHub actions, CircleCI, Jenkins, Gitlab CI; &working in a matrixed organization preparing written and oral presentations to manager, peers, & business stakeholders.
Of experience required, must have 4 years:applying relational & dimensional data modeling concepts to build data products; &architecting solutions on AWS or equivalent public cloud platforms.
Of experience required, must have 2 years:orchestrating complex workflows & data pipelines using at least 1 of the following tools: Airflow, step functions, DBT;developing & deploying solutions using Docker & Kubernetes; &developing data APIs or Microservices or event driven systems to integrate data products with other software systems.
Work experience may be gained concurrently.

Responsibilities

Collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, Business teams) to build data products.
Develop, optimize, & maintain complex ETL processes for moving & transforming data.
Champion code quality, reusability, scalability, security & help make strategic architecture decisions.
Implement processes & tools to ensure data quality, enforce data governance policies & engineering best practices.
Develop APIs & Microservices to expose & integrate data products with software systems.

Benefits

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term and long-term incentive programs.

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