**Experienced Full Stack Data Engineer – Cloud-Based Analytics and Information Systems Development at arenaflex**
About arenaflex arenaflex is a leading healthcare, pharmacy, and retail company with a rich history of caring for communities. As a part of arenaflex Boots Alliance, Inc., we strive to create better lives through improved health. With over 170 years of experience, we operate nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, serving almost 10 million customers daily. Our pharmacists play a vital role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that promote equitable access to care for the nation's medically underserved populations. Job Summary arenaflex is seeking an experienced Full Stack Data Engineer to join our team. As a key member of our analytics and information systems development team, you will be responsible for building and maintaining large information pipelines to support superior analytics and information technology answers. You will collaborate closely with data scientists to design, develop, and deploy recent solutions that address enterprise priorities. Job Responsibilities Develops software programs that process, store, and serve data for use by others. Develops information systems and pipelines to organize, acquire, and standardize data that facilitates generating insights and addresses reporting needs. Writes ETL (Extract / Transform / Load) procedures, designs database structures, and develops tools for real-time and offline analytic processing. Develops information pipelines that are scalable, repeatable, and secure. Troubleshoots software programs and procedures for data consistency and integrity. Integrates data from multiple sources, ensuring that they adhere to data best and accessibility practices. Effectively resolves issues and roadblocks as they occur. Interacts with internal and external stakeholders and/or managers to clarify semi-complex records associated with assigned activities. Basic Qualifications To be considered for this role, you must possess the following qualifications: Bachelor's degree and at least 2 years of experience in data engineering; OR Graduate Degree in a technical field. Advanced understanding of SQL. Experience setting up and maintaining key relationships with internal (colleagues, business partners, and leadership) and external (business community, customers, and vendors) stakeholders in a matrix business environment to ensure adherence to best practices for service. Experience reading and reporting data to identify issues, trends, or exceptions to drive the development of outcomes and discover solutions. Willingness to travel up to 10% of the time for business purposes (within state and out of state). Preferred Qualifications The following qualifications are highly desirable: Experience with REST API development. Experience with Azure software deployment. Experience in Azure technology, including Azure Data Factory, Azure Databricks using Python or Scala, App Services, Azure Data Lake, Azure Functions, Event Hubs, Event Grids, and Logic App. Experience in building Azure DevOPS pipelines to enable CI/CD, Infrastructure as Code (Iaas), and automation. Work Environment and Company Culture arenaflex is proud to offer a dynamic and inclusive work environment that values diversity, equity, and inclusion. Our team members enjoy a range of benefits, including: Company-paid life insurance. Medical, prescription drugs, dental, and vision coverage. Retirement savings plan (401(k)). Employee stock purchase plan. Paid time off (PTO). Holidays. Paid parental leave (PPL). Transportation benefit plan. Employee store discount. Voluntary life & personal accident insurance. Career Growth Opportunities and Learning Benefits arenaflex is committed to the growth and development of our team members. We offer a range of learning benefits, including: Professional development opportunities. Training and certification programs. Mentorship and coaching. Opportunities for advancement and career growth. How to Apply If you are a motivated and experienced Full Stack Data Engineer looking for a new challenge, please apply to this role through our website. We look forward to hearing from you! Apply Now! Apply for this job