Allergan Data Labs is hiring a
Sr. Data Engineer
closedAllergan Data Labs
π΅ $109k-$208k
πRemote - Worldwide
Summary
The job is for a Senior Data Engineer at Allergan Data Labs., a subsidiary of AbbVie. The role involves collaborating with cross-functional teams to build data products, optimize ETL processes, implement data quality checks, develop APIs and Microservices, and make strategic architecture decisions.
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
Preferred Qualifications
- 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
Benefits
- 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
- Free gym membership for those in our Irvine, CA WeWork office
- We celebrate our wins with opportunities to attend Lakers, Knicks, Anaheim Ducks, Anaheim Angels and NY Rangers games
- Opportunities to attend concerts, festivals and other live entertainment events in recognition of delivering great work
- Attend AWS Re:Invent in person (Las Vegas) or virtually each year
- Tuition reimbursement
- Attend a tech or marketing conference of your choice each year
- 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
This job is filled or no longer available
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