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A bit about us:

The nation’s leading supplier of biopharmaceuticals, plasma products, and vaccines with a flawless safety track record and an unwavering commitment to customer-driven innovation. Our strategic partnerships and cutting-edge distribution programs ensure cost-effective solutions and improved product availability, serving 96% of community-based hospitals and over 200,000 customers.

Why join us?

  • Comprehensive Health benefits + EAP
  • 401k, Profit Sharing Retirement Plan
  • Tuition Reimbursement Program
  • HSA, FSA, Dependent Care Flex Spending Acct
  • Life, AD&D, & AFLAC Plans
  • Paid Vacation/Holidays
  • Paid Sick Leave

Job Details

As a Hybrid 3/2 onsite in Flower Mound, TX Senior Data Engineer, you will play a critical role in the following areas:

  • Design, build, and manage our data infrastructure using Azure Databricks, Google Cloud Platform (GCP), and other leading technologies.
  • Develop and optimize LARGE data pipelines, architectures, and data sets using Python, SQL, and Apache.
  • Utilize Fivetran, Delta Lake, and other tools to ensure the efficient and reliable flow of data throughout our systems.
  • Collaborate with data scientists and analysts to create and maintain optimal data delivery architecture.
  • Develop and implement data governance and security measures.
  • Use Power BI, Tableau, and other data visualization tools to create insightful, user-friendly interfaces for our data.
  • Develop and maintain JAR (Java Archive) files and related applications.
  • Continuously evaluate and identify ways to improve our data reliability, efficiency, and quality.
  • Collaborate with various teams and stakeholders to understand and address their data needs.
  • Stay abreast of industry trends and innovations and apply this knowledge to your work.

Qualifications:
  • A Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree is a plus.
  • 5+ years' experience in a Data Engineer or similar role (9 years' experience for non-degreed). Any technical lead experience is a PLUS!
  • Proven experience with Azure, Python, Delta Lake, Fivetran, Google Cloud Platform (GCP), Power BI, Tableau, JAR, SQL, Java Archive, Apache,
  • Extensive experience designing, building, and maintaining data pipelines and architectures.
  • Strong knowledge of data management principles, including data governance and data security.
  • Proficiency in data visualization and reporting tools.



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