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Senior Data Engineer

3 months ago

Minneapolis, United States Brooksource Full time

Senior Data Engineer

Healthcare Industry

100% Remote (must work CT time zone hours)

Long Term Contract

Pay Rate: $80-$90 /hr.


Why Apply:

As an industry leader in the Medicare marketplace, we are compelled to not only embrace change but to actively be the change to adapt to our consumers complex needs. We believe in hiring risk-takers, innovators, and collaborators within our industry to create individualized, simplified healthcare solutions for our beneficiaries.

Our employees are at the core of our collective success; that's why we are committed to discovering the best in-class talent and ensuring that each team member receives the development tools and support they need to flourish in their professional endeavors.

We also understand that you may not check every box in our requirements list -- most applicants don’t In fact, frequently cited statistics show that women and underrepresented groups apply to jobs only if they meet 100% of the qualifications.

Summary:

You, as a Senior Data Engineer, will join a small team to design, develop, and maintain data sourcing, ingestion, and transformation solutions that will be used in reporting & analytics, data science, and other consuming applications. You will collaborate on building and maintaining the foundation of a world class data and analytics platform.

Responsibilities:

  • Design and lead development of data ingestion and transformation pipelines in Databricks
  • Design, develop, and maintain automation pipelines for CI/CD, infrastructure-as-code, observability and alerting, and all other aspects of a world-class Databricks platform
  • Initiate documentation, knowledge-sharing, and creating of operating procedures

Requirements:

  • Bachelor’s Degree in computer science or equivalent experience required.
  • 5+ years of experience in the design and development of data pipelines, data marts, and data warehouses.
  • 1+ years of experience writing Databricks spark jobs and/or DLT pipelines
  • Excellent analytical and problem-solving ability with strong attention to detail and accuracy.
  • Knowledge of AWS or another cloud provider’s offered capabilities
  • Excellent understanding of data warehousing concepts and dimensional data modeling.
  • Hands-on experience with troubleshooting performance issues and fine-tuning queries.
  • Strong ability to handle multiple tasks and adapt to evolving business and technical environments.
  • Self-starter with the ability to work independently, take initiative, and learn new skills.
  • Excellent written and oral communication skills, with the ability to articulate complex processes to individuals of varying technical abilities.
  • Firm knowledge of data engineering tools including version control systems using Git, Bitbucket, SVN, or Team Foundation.
  • Excellent Python skills with experience with other languages a big plus
  • Experience in Microsoft SQL Server and SSIS