Franciscan Health
10,000+ employees
Founded 1875
⚕️ Healthcare Insurance
🤝 Non-profit
Healthcare Insurance • Non-profit
Franciscan Health is a healthcare organization committed to providing high-quality medical care grounded in the Franciscan tradition. They offer a range of medical services, including clinical and allied health, home health and hospice, nursing, physicians and advanced practice providers, and non-clinical and administrative roles. With a focus on embracing the values of St. Francis to care for those in need, they provide a supportive and fulfilling work environment for their employees, emphasizing a mission of compassion and community engagement. Franciscan Health is dedicated to offering a variety of employment opportunities across different medical specialties and locations.
Data Analytics Engineer III
Job not on LinkedIn
🕒 2 days ago
🇺🇸 United States – Remote
💵 $82.9k - $114k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Analytics Engineer
🦅 H1B Visa Sponsor
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Franciscan Health
10,000+ employees
Founded 1875
⚕️ Healthcare Insurance
🤝 Non-profit
Healthcare Insurance • Non-profit
Franciscan Health is a healthcare organization committed to providing high-quality medical care grounded in the Franciscan tradition. They offer a range of medical services, including clinical and allied health, home health and hospice, nursing, physicians and advanced practice providers, and non-clinical and administrative roles. With a focus on embracing the values of St. Francis to care for those in need, they provide a supportive and fulfilling work environment for their employees, emphasizing a mission of compassion and community engagement. Franciscan Health is dedicated to offering a variety of employment opportunities across different medical specialties and locations.
📋 Description
• Responsible for designing and creating tables within data marts, data lakes and data warehouse • Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling • Expand and optimize our data and data pipeline architecture • Continuously expands data pipelines by performing extraction, transformation and loading activities
🎯 Requirements
• Bachelor's Degree Business, Computer Science, Engineering, Information Systems, Public Health, or related field • 5 years Building data pipelines, using ETL technologies such as SSIS or Informatica • 3 years SQL development with SQL Server/Oracle environment • 2 years Cloud data platforms and associated tools such as MS Azure, AWS, or GCP
🏖️ Benefits
• Comprehensive benefit offerings
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