Allergan Aesthetics, an AbbVie company is hiring a Senior Data Engineer (Data Platform)- Remote

Allergan Aesthetics, an AbbVie company, is hiring a Senior Data Engineer to create and sustain a resilient, high-performing data platform. In this remote role, you will be instrumental in building data products, enhancing the platform, and driving architecture decisions while collaborating closely with cross-functional teams.

What You'll Do

• Design, develop, optimize, and maintain a Data Platform enabling complex batch and streaming processes for moving and transforming data across systems.
• Drive platform architecture decisions, lead design reviews, and collaborate with cross-functional partners to build data products.
• Contribute to the development and optimization of our Event Driven Architecture, adding features and improving performance.
• 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 uphold engineering best practices.
• Develop APIs and Microservices to expose and integrate data products with software systems.

What We're Looking For

• Completed BS, MS, or PhD in Computer Science, Engineering, or a related field.
• 5+ years in data engineering building production-grade pipelines and platform capabilities across batch and streaming.
• Experience with various tools and technologies for Data Processing, Storage, Cataloging, Observability, and Governance.
• Strong SQL and either Python or Typescript.
• Experience in assessing and implementing new data tools and frameworks to enhance the data engineering stack.
• In-depth knowledge of data platform development, data warehousing, and data integration.
• Knowledge of DevOps principles, Infrastructure as Code (IaC), containers/Kubernetes, Git-based workflows and CI/CD.
• Experience with architecting solutions on AWS or equivalent public cloud platforms.
• Experience with developing data APIs, Microservices, and event driven systems.
• Experience with data pipeline orchestration tools (Airflow / Temporal).
• Strong interpersonal and verbal communication skills.

Nice to Have

• Building self-service platforms.
• Experience with Ingestion/CDC/streaming tools: Kafka/MSK, Fivetran, Debezium.
• Experience working with protected HIPAA / PHI data.
• Data quality, lineage, and observability practices; incident response and reliability engineering.
• Experience building ELT / ETL pipelines and data modeling.
• Familiarity with Snowflake, RDS, dbt, Airflow, Temporal, Docker, Kubernetes, Terraform, DataDog, and Data Governance tools.

Technical Stack

• Languages: SQL, Python, Typescript
• Cloud & Infrastructure: AWS, Kubernetes, Docker, Terraform
• Tools & Platforms: Git, CI/CD, Airflow, Temporal, Kafka/MSK, Fivetran, Debezium, Snowflake, RDS, dbt, DataDog
• Architectures: APIs, Microservices

Team & Environment

You will collaborate with cross-functional partners including Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, and Business teams.

Benefits & Compensation

• Compensation range: USD121,000 - USD230,000 per year.
• Eligible to participate in short-term incentive programs.
• Paid time off (vacation, holidays, sick).
• Medical, dental, and vision insurance.
• 401(k).

Work Mode

This is a fully remote position open to candidates globally.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.