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Job Details

Requisition Number: 33152
Workplace Setting: Fully- remote
Employee Type: Full Time Regular

Responsibilities

Healthcare Without Rival


Premise Health is the world's leading direct healthcare provider and one of the largest digital providers in the country, serving over 11 million eligible lives across more than 2,500 of the largest commercial and municipal employers in the U.S. Premise partners with its clients to offer fully connected care – in-person and in the digital environment. It operates more than 800 onsite and nearsite wellness centers in 45 states and Guam, delivering care through the Digital Wellness Center and onsite, nearsite, mobile, and event solutions. 


Premise delivers value by simplifying complexity and breaking down barriers to give diverse member populations access to convenient, integrated, high-quality care. We offer more than 30 products, delivering the breadth and depth of care required to serve organizations' total populations. The result is healthcare that meets the needs of members and their families, helping them live healthier while lowering costs for organizations. 


Premise offers a wide range of dynamic, purpose-driven career opportunities. We are currently looking for a Data Engineer to join our team remotely .  


About the role: The Data Engineer will be responsible for building, and maintaining scalable data pipelines, managing our azure delta lake architecture, and supporting analytics initiatives across the organization. The ideal candidate will have a strong background in Azure Databricks, data engineering, and develops pipeline. The successful candidate will work closely with our data engineering and data science teams to ensure seamless integration of data pipelines and Lakehouse architecture. This role should ensure coding standard and coding migration to higher environment and CI/CD.


Essential Functions:  


Data Pipeline Development:

  • Develop, and maintain data pipelines using Azure Databricks, Apache Spark, and Python.
  • Collaborate with data engineering teams to integrate data from EPIC, Clarity, and Caboodle and other on-premise source systems to Azure.
  • Ensure data quality, integrity, and security throughout the data pipeline.
  • Automate unit test cases as part of Data Pipeline.


Lakehouse Architecture:

  • Contribute to the development and maintenance of our lakehouse architecture using Azure Databricks and Delta Lake.
  • Ensure data governance and security in the lakehouse environment
  • Should be able to execute POCs to evaluate new tool, concepts introduced by Azure/ Databricks.


Troubleshooting and Optimization:

  • Troubleshoot data pipeline and Lakehouse architecture issues, identifying and resolving bottlenecks and errors.
  • Optimize data pipeline and Lakehouse architecture performance, scalability, cost and reliability.


Collaboration and Integration:

  • Collaborate with data science teams to integrate data pipelines and Lakehouse architecture with data science workflows.
  • Ensure seamless data exchange between data engineering and data science teams.
  • Participate in peer review for coding standards. 
  • Subject matter expert for pySpark and Scala.


Job Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  • Certifications such as AWS Certified Solutions Architect, Cisco CCNP, Microsoft Azure Solutions Architect, or ITIL preferred.
  • Databricks and Azure certification preferred. 
  • 4+ years of experience in Cloud development practice.
  • Strong expertise in cloud platforms (AWS, Azure, GCP), virtualization, and networking.
  • Experience with infrastructure automation tools (Terraform, Ansible, Kubernetes).


Preferred Experience :

  • Knowledge on Talend , Power BI and Qlik 
  • Proficiency in Linux and Windows server administration.
  • Solid knowledge of cybersecurity best practices and disaster recovery planning.
  • Strong leadership experience in managing technical teams and project management skills.
  • Knowledge of log management and monitoring tools (Splunk, Datadog, Prometheus).
  • Familiarity with containerization and microservices.


Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers benefits packages including medical, dental, vision, life insurance, 401(k), paid holidays and vacation time, a company-sponsored wellness program, and much more our talent acquisition team will be happy to share with you. 


Premise Health is an equal opportunity employer; we value inclusion, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.


For individuals living in California, Colorado, Illinois, Minnesota, Washington; as well as, for individuals living in or reporting to New York State only, Premise Health is required to  include an estimate of the salary and benefits for this role. While a number of factors influence salary, our estimated California, Colorado, Illinois, Minnesota, Washington, and New York compensation is $80,000 - $115,000. Please note, this is a general guideline and your experience qualifications, geographic location, and other factors will be taken into consideration. For more information regarding the benefits we offer, please visit our career site, jobs.premisehealth.com/benefits.