Data Engineer III

POSITION OVERVIEWNBME is looking for a Data Engineer to join a highly skilled and growing team of data engineers and BI developers. This team successfully launched and enhances a data product on AWS for medical doctors. Read more  this role, you will use your data engineering and problem-solving skills to deliver meaningful insights to internal staff and external customers. The Data Engineer will help modernize, expand, and optimize NBME's data platform by building data lakes, complex data integration pipelines, and scalable data solutions that support analytics, AI/ML, and business decision-making.

This role will apply AI-assisted engineering practices to improve development efficiency and share best practices for AI assisted engineering across the IT organization.

This role has been designated as a primarily remote position, though it may require occasional onsite work for team collaboration or meetings. We are currently prioritizing applicants within a 50-mile radius from our Philadelphia office.

Please note that onsite interviews and onboarding at our Philadelphia office may be required for this role. If applicable, advance notice will be provided to support planning.

At NBME, we continue to innovate and improve how we fulfill the evolving needs of the healthcare community. This commitment starts and ends with the people  recruiting and empowering talented individuals from various disciplines and backgrounds, which includes professionals with diverse life experiences, abilities, and perspectives, NBME can take a well-informed, robust approach to advancing medical education and assessment for years to come.

RESPONSIBILITIES Participates in requirements gathering, analyzes and architects project and/or system data architectures. In collaboration with subject matter experts, data analysts, solutions and enterprise architects, ensures designs are consistent and coherent to the enterprise architecture standards and existing  a critical part of a scrum team in an agile environment, ensuring the team successfully meets its deliverables each sprint.

Trains and mentors team members

Work independently and effectively to manage one's time across multiple priorities and projects.

Assures the integrity and accuracy of the corporate data, with particular attention to data security.

Responsible to ensure high data quality for Data Services, Analytics and Master Data Management.

Perform Logical and Physical data modeling with an agile mindset

Build automated, scalable, test-driven data pipelines.

Utilize software development practices such as version control via Git, CI/CD, and release management.

Build data products using various visualization, BI tools and data science tools.

Collaborate with Data Engineers, Dev Ops engineers and architects on improvement opportunities for Data Ops tools and  a trusted partner by providing agile capabilities and outstanding services through digital transformationQUALIFICATIONSExpert in data modeling, database management and data profiling techniques, particularly in Data Warehouse, Master Data Management (MDM), and in the design and delivery of Business Intelligence solutions.

Deep understanding of industry standards and best practices

Strong analytic skills related to working with structured and unstructured datasets.

Critical thinker and creative problem-solving skills along with the ability to communicate well with stakeholders throughout the organization.

Highly proficient in PL/SQL Experience with relational SQL and No

SQL databases, including Oracle, MS SQL Server and HBase.

Experience with data integration tools:
Informatica, Boomi, Fivetran, MS Integration Services, Sqoop, etc.

Experience with one of the cloud vendors and services: AWS, Google, Microsoft, Snowflake…