Cloud Data Engineer - Lead, Technology & Digital, FT, 8:30A-5P
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Baptist Health South Florida is the largest healthcare organization in the region, with 12 hospitals, more than 24,000 employees, 4,000 physicians and 100 outpatient centers, urgent care facilities and physician practices spanning across Miami-Dade, Monroe, Broward and Palm Beach counties. Baptist Health has internationally renowned centers of excellence in cancer, cardiovascular care, orthopedics and sports medicine, and neurosciences. A not-for-profit organization supported by philanthropy and committed to its faith-based charitable mission of medical excellence, Baptist Health has been recognized by Fortune as one of the 100 Best Companies to Work For in America and by Ethisphere as one of the World's Most Ethical Companies.
Everything we do at Baptist Health, we do to the best of our ability. That includes supporting our team with extensive training programs, millions of dollars in tuition assistance, comprehensive benefits and more. Working within our award-winning culture means getting the respect and support you need to do your best work ever. Find out why we're all in for helping you be your best.
Description:
***FULLY REMOTE***
We are looking for a Data Engineer who will partner closely with business, analytics and engineering teams to design, build and maintain data systems and applications. Work with teams from across the system to collect required data from internal and external systems, design data storage structures and build performant automated data pipelines that are reliable and scalable in a fast growing data ecosystem. Leverage strong understanding of data modeling principles and modern data platforms to create logical and physical data model architecture, data extract/transform/load processes, reporting and analytics solutions. Experience using analytic SQL, working with traditional relational databases and/or distributed systems such as AWS S3, Hadoop / Hive, Redshift.
Estimated salary range for this position is $117,128 - $152,266 / year depending on experience
Qualifications:
- Degrees: Bachelors
- Additional Qualifications: Bachelors degree in computer science or related field. Masters degree preferred.
- At least 5 years recent experience in data engineering and end to end automation of data pipelines.
- Strong understanding of relational & NoSQL databases and data structures required.
- Strong understanding of data science and business intelligence workflows.
- Programming experience ideally in Python & Java.
- Experience with large-scale data warehousing and analytics projects, including using AWS technologies.
- Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams
- Both technically deep and business savvy enough to interface with all levels and disciplines within the organization
- Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, marketing, finance, and operations.
- Experience with machine learning toolkits.
- Experience in production support and troubleshooting.
EOE