Senior Data Engineer

POSITION OVERVIEW

NBME is looking for a Data Engineer to join a highly skilled and growing team of data engineers and BI developers. In this role you will be using your data engineering skills and problem-solving skills to deliver meaningful insights to Internal and external customers. The Data Engineer will be responsible for modernizing, expanding, and optimizing NMBE data platform by building data lake, complex data integration pipelines, supporting analytical needs for internal and external customers, as well as optimizing new/existing data flows.

Diversity, Equity, and Inclusion Statement

At NBME, we continue to innovate and improve how we fulfill the evolving needs of the health care 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. We also continue to focus on ensuring that our DEI work is impactful and ingrained in everything we do, including with our staff, workplace culture, products and services, the Philadelphia community, and broader medical education.

RESPONSIBILITIES

• Code, test, deploy, orchestrate, monitor, document and troubleshoot cloud-based data engineering processing and associated automation in accordance with best practices and security standards throughout the development lifecycle
• Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect, and format data from the external sources, internal systems, and the data warehouse to extract features of interest
• Significantly contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies to keep pace with industry innovation while assessing business impact and viability for use cases associated with efforts in hand
• Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
• Significantly contribute to the definition and refinement of processes and procedures for the data engineering practice
• Educate and develop ETL developers on data engineering cloud-bases initiatives to enable transition to data engineer and practice
• Assures the integrity and accuracy of the corporate data, with particular attention to data security.
• Responsible for ensuring high data quality for Data Services, Analytics and Master Data Management.
• Helps coordinate technical solutions, takes responsibility for designs, development, testing and delivery of solutions.
• Build automated, scalable, test-driven data pipelines.
• Utilize software development practices such as version control via Git, CI/CD, and release management to enhance existing CI/CD pipelines in AWS.
• Collaborate with Data Engineers, DevOps engineers and architects on improvement opportunities for DataOps tools and frameworks.

QUALIFICATIONS

Basic Qualifications:

• Bachelor's Degree
• At least 10 years of experience in application development (Internship experience does not apply)
• At least 4 years of experience in big data technologies
• At least 4 years' experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• 4+ years of experience in application development including Python, SQL, Scala, or Java
• 4+ years' experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
• 4+ year experience working on real-time data and streaming applications
• 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 4+ years of data warehousing experience (Redshift)
• 6+ years of experience with UNIX/Linux including basic commands and shell scripting
• 8+ years of experience with Agile engineering practices
• 8+ years of experience with SQL optimization
• 4+ years of experience with PySpark
• 3+ year of experience with process orchestration including AirFlow, KubeFlow, AWS step functions, or Luigi

Preferred Qualifica