Full-Time

Sr. Data Engineer

Data Product Engineering

Posted on 7/9/2024

Allergan Data Labs

Allergan Data Labs

51-200 employees

Data-driven digital marketing for aesthetics

Consumer Software
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 not only attracts new customers but also retains existing ones by fostering loyalty through customized interactions. The company generates revenue by driving consumer engagement and acquisition for Allergan's products, measuring success through increased interest and sales. With a team of experts in digital marketing, data science, and customer relationship management, Allergan Data Labs aims to create effective marketing strategies that improve consumer experiences in the healthcare and beauty market.

Company Stage

N/A

Total Funding

N/A

Headquarters

Irvine, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • AI in personalized marketing enhances Allergan's consumer engagement.
  • Telemedicine trends open new digital marketing opportunities for Allergan.
  • Influencer marketing boosts brand visibility among younger demographics.

What critics are saying

  • AI-driven competitors may erode Allergan's market share.
  • Privacy regulations like CCPA could limit data usage.
  • Rapid tech evolution may strain Allergan's resources.

What makes Allergan Data Labs unique

  • Allergan Data Labs specializes in data-driven digital marketing for medical aesthetics.
  • They leverage consumer data to create personalized marketing campaigns.
  • Their team combines expertise in digital marketing, data science, and CRM.

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