Required Education:
Bachelor's Degree in Computer Science, Information Management, Information Systems, Information Technology, Electrical Engineering.
Preferred Education:
Master's Degree in Computer Science, Information Management, Information Systems, Information Technology, Electrical Engineering, Business Administration.
Required Experience:
5+ years of progressively responsible experience in health informatics and data engineering. Experience with first, design and implementation of information systems in health care; and second, leading complex, interdisciplinary projects that include various health care providers, administrators, and information system professionals. Demonstrated experience in designing and developing architectural/data solutions in Enterprise Data Warehouse environment using SQL.
Preferred Experience:
5+ years Previous experience in higher education environment and/or previous experience in healthcare organization, experience with HIPAA, HITRUST, SOC 2, and GDPR. Previous experience with a wide range of development tools: Databricks, Airflow, REST, Aptible, Docker, Terraform, Spark, Kafka, Fivetran, AWS (S3, Lambda, Kinesis, Aurora, Glue). Knowledge and experience in Microsoft SQL, Oracle SQL, Snowflake, PostgreSQL, Tableau. Previous experience in Iterative and/or Agile methodologies.
Required Skills, Knowledge and Abilities:
Demonstrated strong knowledge of entity relationship diagram modeling and dimensional data modeling. Strong analytical, process flow, interviewing, and problem-solving skills; ability to understand technology concepts (application and infrastructure architecture). Ability to provide relevant, understandable technical advice to a non-technical audience. Knowledge of current and emerging information technologies and systems including systems development, data engineering (ETL/ELT pipelines), data warehousing, a variety of operating systems, and large database applications. Proficient in Structured Query Language (SQL) and Python.
Preferred Skills, Knowledge and Abilities:
Advanced programming skills in SQL and Python. Knowledge of NYU’s enterprise systems such as UDW+. Familiarity with technologies / methodologies including AWS, Mulesoft, Tableau, sqlDBM and Data Vault.