Data Engineer III

NBME•Philadelphia, PA

4d•Hybrid

About The Position

NBME is seeking a Data Engineer to join a skilled team of data engineers and BI developers who enhance a data product on AWS for medical doctors. This role will leverage data engineering and problem-solving skills to deliver insights to internal staff and external customers. The Data Engineer will modernize, expand, and optimize NBME's data platform by building data lakes, complex data integration pipelines, and scalable data solutions for analytics, AI/ML, and business decision-making. The role will apply AI-assisted engineering practices to improve development efficiency and share best practices across the IT organization. This role can be designated as remote, with flexibility to work primarily remotely, hybrid, or onsite. Candidates within 50 miles of Philadelphia, PA, are preferred. Onsite interviews and onboarding in Philadelphia may be required. NBME is committed to advancing medical education and assessment by recruiting and empowering talented individuals from diverse backgrounds.

Requirements

Expert 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 NoSQL 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
Experience consuming and building APIs
Experience with object-oriented/object function programming languages: Python, Java, C++, Scala, etc.
Experience with visual analytics tools: QlikView, Tableau, Power BI, Micro strategy etc.
Experience utilizing Agile methodology for development.
Minimum of 3 years of Data Engineering and Data Warehousing experience.
Minimum of 2 years of experience with python
Minimum of 2 years of experience with data integration tools like Informatica, Boomi, AWS - Glue etc.
Minimum 1 year of experience with AWS services like S3 and Redshift
Bachelor's Degree in Computer Science or related technical field and 6 years of relevant work experience.

Nice To Haves

Experience with Singer and DBT is a plus
Master's degree is a plus.

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 environment.
Be 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, DevOps engineers and architects on improvement opportunities for DataOps tools and frameworks.
Be a trusted partner by providing agile capabilities and outstanding services through digital transformation