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Full-Time

Sr. Data Engineer

Data Product Engineering

Confirmed live in the last 24 hours

Allergan Data Labs

Allergan Data Labs

201-500 employees

Data-driven digital marketing for medical aesthetics

Data & Analytics
Healthcare
Consumer Goods

Compensation Overview

$109.5k - $208kAnnually

+ Bonus + RSU Grants + Short-term Incentive Programs + Long-term Incentive Programs

Senior, Expert

Remote in USA

Category
Data Engineering
Data & Analytics
Required Skills
Python
Airflow
Git
SQL
Apache Kafka
Postgres
AWS
Pandas
Snowflake
Requirements
  • 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
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

Allergan Data Labs enhances Allergan's medical aesthetics business by using data to create personalized digital marketing strategies. They focus on consumers interested in cosmetic treatments and procedures, providing tailored marketing campaigns based on individual preferences and behaviors. This approach improves consumer engagement and helps retain customers by fostering loyalty through customized interactions. The company generates revenue by driving interest and sales for Allergan's products and services, measuring success through the performance of their marketing efforts. The team consists of experts in digital marketing, data science, and customer relationship management, working collaboratively to implement effective strategies. The goal of Allergan Data Labs is to create seamless and engaging digital experiences for consumers in the medical aesthetics market.

Company Stage

N/A

Total Funding

N/A

Headquarters

Irvine, California

Founded

2018

Growth & Insights
Headcount

6 month growth

11%

1 year growth

11%

2 year growth

11%
Simplify Jobs

Simplify's Take

What believers are saying

  • Working at Allergan Data Labs offers the opportunity to be at the forefront of digital marketing innovation in the rapidly growing medical aesthetics industry.
  • The company's emphasis on data-driven strategies provides employees with valuable experience in cutting-edge data analytics and personalized marketing.
  • A collaborative and transparent work environment fosters professional growth and ownership, making it an attractive workplace for top talent.

What critics are saying

  • The performance-based revenue model means that job security could be closely tied to the success of marketing campaigns, adding pressure to deliver results.
  • Operating in a niche market like medical aesthetics may limit broader career opportunities for employees outside this specialized field.

What makes Allergan Data Labs unique

  • Allergan Data Labs leverages advanced data analytics to create highly personalized marketing campaigns, setting them apart from traditional marketing firms.
  • Their focus on the medical aesthetics market allows them to specialize and deeply understand consumer needs in this niche, unlike broader healthcare marketing agencies.
  • The integration of digital marketing, data science, and CRM expertise within one team enables Allergan Data Labs to deliver cohesive and effective marketing strategies.