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Experienced Full Stack Data Engineer – Remote Data Pipeline Development and Advanced Analytics Solutions

Remote · USA Full-time New today

Join the Walgreens Team: Building a Healthier Future through Data-Driven Innovation

Walgreens, a leading retail pharmacy and healthcare company, is seeking an experienced Full Stack Data Engineer to join our team remotely. As a key member of our data engineering team, you will play a crucial role in designing, developing, and maintaining large-scale data pipelines and advanced analytics solutions that drive business growth and improve customer outcomes. If you're passionate about working with data and want to make a meaningful impact in the healthcare industry, we encourage you to apply for this exciting opportunity.

About Walgreens and Walgreens Boots Alliance

Walgreens is part of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global healthcare, pharmacy, and retail leader with a 170-year history of caring for communities. Our purpose is to create healthier lives through better health. With nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, Walgreens is a trusted healthcare destination serving over 10 million customers daily. Our pharmacists play a vital role in the U.S. healthcare system, providing a wide range of pharmacy and healthcare services, including those that address equitable access to care for medically underserved populations.

Job Summary

As a Full Stack Data Engineer at Walgreens, you will be responsible for building and maintaining massive information pipelines to support advanced analytics and information generation solutions. You will work closely with data scientists to define data requirements for the design, development, and deployment of new solutions that drive business priorities. Your expertise in data engineering will enable us to generate insights, address reporting needs, and make data-driven decisions that improve customer outcomes.

Key Responsibilities

  • Develop software applications that process, store, and serve data for use by others.
  • Design and develop data structures and pipelines to organize, collect, and standardize data that enables generating insights and addresses reporting needs.
  • Write ETL (Extract / Transform / Load) techniques, design database systems, and develop tools for real-time and offline analytic processing.
  • Develop scalable, repeatable, and secure data pipelines.
  • Troubleshoot software applications and techniques for data consistency and integrity.
  • Integrate data from multiple sources, ensuring that they adhere to data standards and accessibility requirements.
  • Effectively resolve problems and roadblocks as they occur.
  • Interact with internal and external stakeholders to communicate semi-complex facts related to assigned activities.

Essential Qualifications

  • Bachelor's degree in a technical discipline (e.g., Computer Science, Information Technology).
  • At least 2 years of experience in data engineering.
  • Advanced knowledge of SQL.
  • Experience building and maintaining key relationships with internal (e.g., stakeholders, business partners, leadership) and external (e.g., vendors, clients) partners in a matrix organization.
  • Experience reading and reporting data in a meaningful way to understand issues, trends, or exceptions that inform business outcomes and solutions.
  • Willingness to travel up to 10% of the time for business purposes (within the United States and internationally).

Preferred Qualifications

  • Graduate degree in a technical discipline.
  • Experience with REST API development.
  • Experience with Azure software deployment.
  • Experience in Azure technologies, such as:
    • Azure Data Factory.
    • Azure Databricks using Python or Scala.
    • App Services.
    • Azure Data Lake.
    • Azure Functions.
    • Event Hubs.
    • Event Grids.
    • Logic App.
  • Experience building Azure DevOps pipelines to enable CI/CD, Infrastructure as Code (IaC), and automation.

Career Growth Opportunities and Learning Benefits

At Walgreens, we are committed to the growth and development of our employees. As a Full Stack Data Engineer, you will have opportunities to:

  • Work with cutting-edge technologies and tools.
  • Collaborate with cross-functional teams to drive business outcomes.
  • Develop new skills and expertise through training and mentorship programs.
  • Contribute to the development of new solutions and products that improve customer outcomes.

Work Environment and Company Culture

Walgreens is a dynamic and inclusive work environment that values diversity, equity, and inclusion. As a remote employee, you will have the flexibility to work from home and collaborate with colleagues across the globe. Our company culture is built on:

  • Respect: We treat each other with respect and dignity.
  • Integrity: We act with integrity and ethics in all our interactions.
  • Accountability: We take ownership of our actions and outcomes.
  • Collaboration: We work together to achieve common goals.
  • Innovation: We encourage creativity and innovation.

Compensation, Perks, and Benefits

We offer a comprehensive compensation package that includes:

  • Competitive hourly rate: $30-40 per hour.
  • Company-paid life insurance.
  • Medical, prescription drugs, dental, and vision benefits.
  • 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 and personal accident insurance.

Conclusion

If you're a motivated and experienced Full Stack Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at Walgreens. As a remote employee, you will have the flexibility to work from home and contribute to the development of innovative solutions that improve customer outcomes. Join our team and help us build a healthier future through data-driven innovation!

Apply now and take the first step towards a rewarding career at Walgreens!

Apply for this job

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