Senior Data Engineer (Remote or Hybrid options available) in Deerfield, IL in Walgreens

Job title: Senior Data Engineer (Remote or Hybrid options available) Company: Walgreens Job description: Why Walgreens? No matter where you are, life at Walgreens is driven by a culture of helping others. From our store aisles and warehouses to our headquarters and technology hub, there’s a spirit of excitement and innovation everywhere you look. A career at Walgreens means joining a company that’s been dedicated to our customers and the communities we serve for over 120 years. And these days, you’ll find that our people are just as passionate, committed and supported as ever before. There's no better feeling in a job than helping people live more joyful lives through better health in the communities you serve. And that’s why a career at Walgreens feels so good. With plenty of learning and growth opportunities, exciting challenges and talented teams, you’ll have everything you need to see your future in a whole new way. We want to keep on driving change, and we’re committed to investing even more in DE&I, adding new initiatives, strengthening our nationwide veterans training program and expanding our Business Resource Groups. We’re listening, learning and taking big and bold action to ensure equity and inclusion for everyone. Job Summary We are looking for an experienced Senior Data Engineer looking to join our diverse technology team and help us take things to the next level. If this is you, keep reading! The Sr. Data Engineer builds and maintains big data pipelines to support advanced analytics and data science solutions. The role also identifies valuable internal and external data, and collaborates closely with data scientists to define data for the design, development, and deployment of new solutions that support strategic business priorities. Job Responsibilities Develops 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 Boots Alliance Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products. Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores. WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business. WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list. More company information is available at . Job Summary The Sr. Data Engineer builds and maintains big data pipelines to support advanced analytics and data science solutions. The role also identifies valuable internal and external data, and collaborates closely with data scientists to define data for the design, development, and deployment of new solutions that support strategic business priorities. Job Responsibilities Develops 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 Expected salary: Location: Deerfield, IL Apply for the job now! Apply Job!