Allergan Data Labs is on a mission to transform the Allergan Aesthetics beauty business at AbbVie, one of the largest pharmaceutical companies in the world. Our iconic brands include BOTOX® Cosmetic, CoolSculpting®, JUVÉDERM® and more. The medical aesthetics business is ripe for rapid growth and disruption, and we are looking to add to our high performing team to do just that.

Our team has successfully launched a new and innovative technology platform, Allē, which serves millions of consumers, tens of thousands of aesthetics providers and thousands of colleagues throughout the US. Since its launch in November 2020, Allē has delivered curated promotions, personalized experiences and had millions of consumers use it as part of their beauty journey.

We’re looking to add to our team as we prepare to launch a new array of game-changing technologies on our successfully adopted platform. If you’re interested in working within a startup-oriented environment, while having the backing of a very large company, please read on.

As the Sr. Data Engineer, you will report to the Director, Data and Machine Learning, as well as continuously collaborate with key stakeholders across the business to solve the most important technical problems.

Responsibilities

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

Required Experience & Skills

Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field
5+ years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases)
Strong programming skills in Python and understanding of core computer science principles
Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks
Knowledge of relational and dimensional data modeling concepts to build data products
Experience with data quality checks, data monitoring solutions
Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools
Experience with Git, CI/CD pipelines, Docker, Kubernetes
Experience with architecting solutions on AWS or equivalent public cloud platforms.
Experience with developing data APIs, Microservices and event driven systems to integrate data products
Strong interpersonal and verbal communication skills

Preferred Experience & Skills:

Knowledge of data mesh concepts
Experience in assessing and implementing new data tools to enhance the data engineering stack
Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science
Knowledge of vector databases, knowledge graphs, and other approaches for organizing & storing information
Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools

Our Core Values

Be Humble: You’re smart yet always interested in learning from others.
Work Transparently: You always deal in an honest, direct and transparent way.
Take Ownership: You embrace responsibility and find joy in having the answers.
Learn More: Through blog posts, newsletters, podcasts, video tutorials and meetups you regularly self-educate and improve your skill set.
Show Gratitude: You show appreciation and return kindness to those you work with.

Perks

Competitive salary.
Competitive annual bonus targets.
401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution.
RSU grants (Long Term Incentives) for approved roles.
Comprehensive medical, dental, vision and life insurance.
17 paid holidays per year, including 3 floating holidays.
Annual Paid Time Off (PTO), with separate sick days.
12 weeks paid Parental Leave.
Caregiver Leave.
Adoption and Surrogacy Assistance Plan.
Flexible workplace accommodations.
Attend AWS Re:Invent in person (Las Vegas) or virtually each year for approved roles.
Tuition reimbursement.
A MacBook Pro and accompanying hardware to do great work.
A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more.
Generous discounts on SkinMedica skin care products.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
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 incentive programs.
This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

Compensation Range (Minimum - Maximum)

$109,500—$208,000 USD

Compensation Overview

Responsibilities

Required Experience & Skills

Preferred Experience & Skills:

Our Core Values

Perks

6 month growth

1 year growth

2 year growth

Simplify's Take

What believers are saying

What critics are saying

What makes Allergan Data Labs unique