Senior Data Engineer

Cengage Learning is a leading educational content, technology, and services company for the higher education and K–12, professional and library markets worldwide. The company provides superior content, personalized services and course-driven digital solutions that accelerate student engagement and transform the learning experience.

Cengage is seeking a resourceful lead data engineer to help us build the next-generation of our analytics platform. You'll get to work on our cloud (AWS) based data processing pipeline, data processing infrastructure, and internal APIs. Our platforms needs to support multiple types of scalability challenges - from handling terabytes of data to providing analytics in real-time. This is a critical role that will have a significant impact on the direction of our product, technology and business.

* Build data processing pipeline in that collects, connects, centralizes, and curates data from various internal and external data sources. * Architect scalable and reliable data engineering solutions for moving data efficiently across systems at near real-time. * Build a data store that will be central source of truth. * Design, implement, test and deploy data processing infrastructure. * Research and assess the viability of new processing and data storage technologies. * Ability to take ownership and get things done in an Agile team setting. * Help break down, estimate, and provide just-in-time design for small increments of work.

* Bachelors in Computer Science / related field or equivalent work experience. * 5+ years of professional software experience with Python, Java, or (preferably) Scala. * Experience using source control (preferably Git) and bug tracking systems.