Job Summary

Builds & maintains machine learning and big data production pipelines to support advanced analytics, data science, and AI/ML solutions. Identifies valuable internal and external data. Collaborates closely with data and ML scientists to define data for the design, development, and deployment of new solutions that support business priorities.

• Develops software that processes, stores and serves data and machine learning models for use by others.
• Develops moderate to large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and intelligence to support business needs.
• Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores and develops tools for real-time and offline analytic processing on premise or on cloud infrastructure.
• Develops and maintains optimal data pipelines into the ML and advanced analytics platform, including design of data flows, procedures, and schedules. Ensures that optimal data pipelines are scalable, repeatable and secure.
• Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
• Anticipates and prevents problems and roadblocks before they occur.
• Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
• Collaborates with AI/ML scientists and data scientists to prepare data for model development, and to deploy models to production.

About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) 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 www.walgreensbootsalliance.com.

• Bachelor's degree or equivalent + at least 4 years of experience
• At least 4 years of experience in machine learning, software engineering, or data engineering
• At least 3 years of experience working with SQL
• At least 3 years of experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or Java
• 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 ensure quality standards for service.
• Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.
• At least 2 years of experience contributing to financial decisions in the workplace.
• At least 2 years of direct leadership, indirect leadership and/or cross- functional team leadership.
• Willing to travel up to 10% of the time for business purposes (within state and out of state)

• Graduate Degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering
• Experience deploying ML models at scale in production use open source tools (Kubeflow, Seldon, etc)
• Experience with DAG-based workflow orchestration systems (Airflow, Prefect, etc).
• Experience with data processing pipelines using Apache Spark or Databricks
• Experience with ML registries (MLFlow, etc)
• Experience with CICD pipelines (Tekton, Azure DevOps, Github Actions, etc)
• Experience with using or configuring Kubernetes in a multi-tenant environment.
• Experience troubleshooting distributed systems and reducing performance and costs
• Experience writing and deploying production-grade Python applications and libraries
• Experience deploying, monitoring, and maintaining event-driven and reactive ML applications
• Experience deploying, monitoring, and maintaining of ML deployment systems for batch and streaming
• Experience with REST API development

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