Principal Data Engineer II

Job Description

Job Summary:
Implements data and analytics capabilities and platforms including the data management and integration capabilities, enterprise reference data, and analytics platforms across WBA. This position will play a key role in the design and implementation of new and existing platforms to drive and realize data strategy.

Job Responsibility:
Drives best practices for code quality, testing, and documentation within the data engineering team. Develops and leads the design, development and implementation strategy for highly compex, visible, scalable, efficient and resilient data pipelines, storage solutions, and ETL processes to support both batch and real-time data processing needs.
Integrates data from a variety of sources, including those with high-complexity or in need of spcialized expertise for import, assuring adherence to data quality and accessibility standards. Designs data infrastructure for scalability, availability, reliability. Ensures that data pipelines are scalable, repeatable and secure. Improves data consistency and integrity.
Designs and develops highly complex and large scale data structures and pipelines to organize, collect and standardize data to generate highly complex insights and address reporting needs.
Writes highly complex ETL (Extract / Transform / Load) processes, designs highly complex database systems and develops tools for real-time and offline analytic processing.
Ensures that data pipelines are scalable, repeatable and secure. Improves data consistency and integrity.
Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Designs data infrastructure for scalability, availability, reliability
Evangelizes technical / business approaches and new or enhanced technical tools. Reviews and recommends the right tool and technology to deliver solutions objectively. Evaluates new technologies for continuous improvement.
Works closely with data scientists and analysts to optimize data access and performance for analytics and reporting.
Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.
Creates highly visible and robust technical design documents and supporting materials
Stays abreast of industry trends and best practices in data engineering and recommends strategies for continuous improvement. Provides thought leadership to embrace modern data science and data analytics as a critical enabler for business decisions
Guides and mentors a wide range of audiences. Provides guidance regarding complex analytical approaches and iteration of algorithms.
Develops and maintains documentation for data processes, workflows, and system architecture.

About Walgreens
Founded in 1901, Walgreens ( has a storied heritage of caring for communities for generations and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.

The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits More Company information is available at ;br>
External Basic Qualifications

• Bachelor's degree and at least 8 years of experience in data engineering; or graduate degree in a technical discipline with at least 4 years of experience in data engineering
• At least 6 years of experience working with SQL
• At least 4 years of experience with REST API development
• Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines.
• At least 4 years of experience working with programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Flink, or Hadoop.
• Experience interacting at the Executive level and presenting to all levels of an organization, including the C-Suite level.
• Experience working with distributed systems, cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform), and containerization technologies (e.g., Docker, Kubernetes).
• Experience using analytical and problem-solving skills to troubleshoot complex data issues and drive effective resolutions.
• At least 5 years of experience contributing to financial decisions in the workplace.
• At least 5 years of direct leadership, indirect leadership and/or cross-functional team leadership.
• Willing to travel up to/at least 10% of the time for business purposes (within state and out of state)

Preferred Qualifications

• Experience deploying Python applications
• Experience with Azure application deployment
• Experience with messaging systems such as Kafka or Azure Event Hubs

We will consider employment of qualified applicants with arrest and conviction records.