Senior Data Engineer
Job Summary
Builds & maintains big data pipelines to support advanced analytics and data science solutions. Identifies valuable internal and external data. Collaborates closely with data scientists to define data for the design, development, and deployment of new solutions that support strategic business priorities.
Job ResponsibilitiesDevelops software that processes, stores and serves data for use by others.
Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing.
Develops and maintains optimal data pipelines into the 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.
Collaborate with data scientists to prepare data for model development.
About Walgreens and WBA
Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy and U.S. Healthcare segments of Walgreens Boots Alliance, Inc. (Nasdaq:
WBA), an integrated healthcare, pharmacy and retail leader with a 170-year heritage of caring for communities. WBA s purpose is to create more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving nearly 10 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for the nation s medically underserved populations. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with fully integrated physical and digital platforms supported by the latest technology to deliver high-quality products and services in communities nationwide.
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
An Equal Opportunity Employer, including disability/veterans.
Basic Qualifications
Bachelor's degree and at least 4 years of experience in data engineering OR a Graduate Degree in a technical discipline and at least 2 years of experience in data engineering
Deep knowledge of SQL
At least 2 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 ensure quality standards for service.
Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.
Experience presenting to all levels of an organization
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).
Preferred Qualifications
Experience deploying Python applications
Experience with Azure application deployment
Experience with messaging systems such as Kafka or Azure Event HubsEstimated Salary: $20 to $28 per hour based on qualifications.
Builds & maintains big data pipelines to support advanced analytics and data science solutions. Identifies valuable internal and external data. Collaborates closely with data scientists to define data for the design, development, and deployment of new solutions that support strategic business priorities.
Job ResponsibilitiesDevelops software that processes, stores and serves data for use by others.
Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing.
Develops and maintains optimal data pipelines into the 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.
Collaborate with data scientists to prepare data for model development.
About Walgreens and WBA
Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy and U.S. Healthcare segments of Walgreens Boots Alliance, Inc. (Nasdaq:
WBA), an integrated healthcare, pharmacy and retail leader with a 170-year heritage of caring for communities. WBA s purpose is to create more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving nearly 10 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for the nation s medically underserved populations. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with fully integrated physical and digital platforms supported by the latest technology to deliver high-quality products and services in communities nationwide.
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
An Equal Opportunity Employer, including disability/veterans.
Basic Qualifications
Bachelor's degree and at least 4 years of experience in data engineering OR a Graduate Degree in a technical discipline and at least 2 years of experience in data engineering
Deep knowledge of SQL
At least 2 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 ensure quality standards for service.
Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.
Experience presenting to all levels of an organization
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).
Preferred Qualifications
Experience deploying Python applications
Experience with Azure application deployment
Experience with messaging systems such as Kafka or Azure Event HubsEstimated Salary: $20 to $28 per hour based on qualifications.
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