Cloud Data Engineer-Hybrid (NYC based) – Hospital for Special Surgery

Job Description

Overview

How you move is why we’re here. ®Now more than ever.

Get back to what you need and love to do.

The possibilities are endless…

Now more than ever, our guiding principles are helping us in our search for exceptional talent – candidates who align with our unique workplace culture and who want to maximize

the abundant opportunities for growth and success.

If this describes you then let’s talk!

HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment.

Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise.

Cloud Data Engineer

Center for Analytics, Modeling and Performance (CAMP)

Full-Time

At Hospital for Special Surgery our clinicians and scientists collaborate to deliver the most innovative care. Our specialized focus on orthopedics and rheumatology enables us to help patients get back to what they need and love to do reliably and efficiently. Our patients are overwhelmingly satisfied with the care they receive at our facilities. When you join us, you will become part of this legacy of commitment to the most cutting-edge research and coordinated care.

The ideal candidate must be passionate about the field of analytics and well versed in all aspects of an enterprise-wide analytics architecture. We are looking for curious Data Engineers who have a strong understanding of data pipelines, ready to work hard and love what they do. They will work collaboratively across the organization with clinical operational leaders and Data Scientists on a diverse range of projects to find insights that support our mission of providing world class musculoskeletal health. As we are extending our analytics cloud strategy, the candidate should have professional experience setting analytics computation workloads in a public cloud, and a strong will to learn more in this domain.

Center for Analytics, Modeling and Performance (CAMP)

The Center of Analytics, Modeling, & Performance (CAMP) at HSS aligns experts in data engineering, data science, operational excellence, and medicine to pioneer new and innovative care delivery models, power our digital care platforms, incorporate novel technologies into care, augment clinical decision-making, set new standards in patient experience and advance the field of musculoskeletal health. CAMP focuses on developing new technology and operating models to tackle the most complex problems, provide greater operational agility, and deliver a highly personalized patient and consumer experience. To accomplish these goals, CAMP will leverage its uniquely large musculoskeletal data set including diagnostic imaging, clinical notes and text, surgical planning guides, and postoperative outcomes.

As a Data Engineer You Will
• Design, implement and automate data flows on premise and in the cloud
• Work with partners and vendors on data integration projects
• Design and create data models for new or existing data sources
• Assist in the administration and architecture of the analytics Data Lake in the cloud
• Assist in the resolution of production issues and their root cause analysis
• Learn and discover new Analytics technology to be applied to the analytics Data Lake

Your Technical Skills and Experience
• 3+ years’ experience with ETL tool such as SQL Server Integration Services (SSIS) or similar
• 3+ years’ experience with writing SQL scripts, strong expertise in T-SQL preferred
• 3+ years’ experience writing ETL scripts in Python, Java, Scala/Spark or similar
• 1+ years’ experience with AWS Analytics: services include but not limited to Glue, Athena, S3, SageMaker, Lambda, Redshift
• 1+ years’ experience with Web Services: RESTFul APIs, .NET WCF and SOAP
• Experience with SSAS and building cubes a plus
• Experience with statistics and machine learning tools a plus (Python, R, Matlab or Spark)
• Experience with Big Data or noSQL technology a plus: Hadoop, Spark, AWS EMR, Hive, etc.
• Experience in Healthcare and working with Epic and its databases a big plus

About You
• You are passionate about data and exploring new technologies, especially cloud and Machine Learning technologies
• You are a critical thinker who loves solving difficult problems
• You are flexible and a natural team player

Education and Certifications
• Master’s degree or bachelor’s in computer science or equivalent

Other Requirements
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