Senior Data Engineer — Scalable Pipelines & Analytics

Walgreens; Des Moines (IA); On-site; USD 27,552 - 41,328; Full time

Job summary

Walgreens in Des Moines, USA, is seeking a Senior Data Engineer to build and maintain large data pipelines and to collaborate with data scientists on analytics solutions. The role requires a Bachelor’s degree and at least four years of data engineering experience.

The candidate will develop ETL processes, design data structures, and implement real-time and offline analytics tools while ensuring data quality and security. Willingness to travel ~10% is expected.

Qualifications

• Bachelor's degree required with at least four years of data engineering experience.
• Strong SQL skills and data pipeline development experience.
• Experience building ETL processes and data integration.
• At least two years of REST API development experience.
• Ability to partner with stakeholders to meet requirements and travel 10%.

Responsibilities

• Develop software to process, clean, and provide statistics for analytics use.
• Build large-scale data pipelines to organize and standardize records.
• Design ETL processes and data models for real-time and batch analytics.
• Create scalable, secure statistical pipelines on the analytics platform.
• Troubleshoot data and pipeline issues to ensure integrity and quality.
• Collaborate with data scientists to prepare data for model development.
• Engage with internal and external partners to exchange domain information.

Skills

SQL

ETL pipelines

REST API development

Data pipelines

Problem solving

Education

Bachelor's degree

Tools

Azure

Kafka

Python

Job description

Walgreens in Des Moines, USA, is seeking a Senior Data Engineer to build and maintain large data pipelines and to collaborate with data scientists on analytics solutions. The role requires a Bachelor’s degree and at least four years of data engineering experience.

The candidate will develop ETL processes, design data structures, and implement real-time and offline analytics tools while ensuring data quality and security. Willingness to travel ~10% is expected.