Lead Big Data Engineer Remote, Technology & Digital, FT, 8:30A-5P

Baptist Health South Florida is once again one of the 2020 Fortune 100 Best Companies to Work For! This is the 20th time Baptist Health has been recognized on the list. We have also been recognized for being among the best healthcare providers in the nation by U.S. News & World Reports in its 2020-2021 Best Hospitals and have been honored as one of PEOPLE's 2020 50 Companies that Care by PEOPLE magazine and Great Place to Work.

Baptist Health South Florida is the region's largest not-for-profit healthcare organization with more than 23,000 employees working across 11 hospital campuses and more than 100 outpatient facilities throughout Miami-Dade, Monroe, Broward, and Palm Beach counties. In 2016 we welcomed the newest weapon in the fight against cancer, the world-class Miami Cancer Institute and proton therapy center.

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 this is the best place to be your best!

Description:

• We are looking for a Lead Data Engineer who will partner closely with business, analytics and engineering teams to lead the design, build and maintenance of data systems and applications.
• Lead 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 and expertise 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.

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.

BHSF is an EOE

JobID: 124074