Data Engineer III

Data EngineerNBME 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. In 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.While this role can be designated as remote, you are offered the flexibility to select if you prefer to work primarily remotely, hybrid, or onsite. We're open to considering candidates within 50 miles of our office location in Philadelphia, PA. 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 at NBME. By 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.ResponsibilitiesParticipates 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 membersWork 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 mindsetBuild 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 transformationQualificationsSkills and AbilitiesExpert 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 practicesStrong 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/SQLExperience 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, SnowflakeExperience consuming and building APIsExperience 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.Experience with Singer and DBT is a plusExperienceMinimum of 3 years of Data Engineering and Data Warehousing experience.Minimum of 2 years of experience with pythonMinimum 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 RedshiftEducationBachelor's Degree in Computer Science or related technical field and 6 years of relevant work experience. Master's degree is a plus.Compensation we are offering for this position is at $112,043- $140,000/year. Please note that the offered rate for this position typically aligns with the minimum to midrange of this grade, but it can vary based on the successful candidate's qualifications and experience, department budget, and an internal equity review.The NBME offers competitive salaries, excellent benefits, and a rewarding work environment. Excellent Benefits include: Healthcare, Dental, Prescription, and Vision plans; 401(k) w/match, Tuition Reimbursement Plan, Commuter Benefit: Public Transit or Parking options. Remote Friendly Workplace.NBME is an Equal Opportunity Employer. We will consider all qualified applicants for employment without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.