**Introduction**Barnes & Noble Education, Inc. (BNED.com) is a leading solutions provider for the education industry, driving affordability, access and achievement at hundreds of academic institutions nationwide and ensuring millions of students are equipped for success in the classroom and beyond. Through its family of brands, BNED offers campus retail services and academic solutions, a digital direct-to-student learning ecosystem, wholesale capabilities and more. BNED is a company serving all who work to elevate their lives through education, supporting students, faculty and institutions as they make tomorrow a better, more inclusive and smarter world.The Digital Student Solutions (“DSS”) Segment includes direct-to-student product and service offerings to assist students to study more effectively and improve academic performance, thus enabling them to gain the valuable skills necessary to succeed after college. DSS is comprised of the operations of Student Brands, LLC, a leading direct-to-student subscription-based writing services business, and bartleby, a direct-to student subscription-based offering providing textbook solutions, expert questions and answers, AI-based writing assistance, and tutoring services.Bartleby (bartleby.com) is a central offering in our developing ecosystem of direct-to-student digital products and services, accessible anytime and anywhere. bartleby.com provides critical services for students to achieve better success throughout their academic journey. The bartleby product offerings consist of bartleby learn™ comprised of textbook solutions (over 1,600 titles), question and answer solutions, and study guides; bartleby write™ comprised of revision, plagiarism, citation and scoring tools; and bartleby tutor™ comprised of online tutoring services.**Overview**We are looking for an ambitious Data Engineer to join our analytics team of experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate enjoys building data pipelines and data wrangling from scratch. The right candidate is self-directed and comfortable working with product, marketing and content teams.**Responsibilities**• Create, maintain, and optimize data pipelines• Assemble large, complex data sets that meet functional / non-functional business requirements.• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.• Build analytics tools that utilize the data pipelinetoprovide actionable insights into customer behavior and acquisition, and other key business performance metrics.• Work with stakeholders including the Executive, Product, Content and Data teams to assist with data-related technical issues and support their data infrastructure needs.• Work with data and analytics experts to strive for greater functionality in our data systems.**Qualifications**+ We are looking for a candidate with 3-5 years of experience in a Data Engineer role, who has attained a Bachelor degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.+ Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.+ Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.+ Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.+ Strong analytic skills related to working with unstructured datasets.+ Build processes supporting data transformation, data structures, metadata, dependency and workload management.+ A successful history of manipulating, processing and extracting value from large, disconnected datasets.+ Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.+ Strong project management and organizational skills.+ Experience supporting and working with cross-functional teams in a dynamic environment.+ Exposure to software development best practices including scrums, source code control, CI/CD, QA, etc.+ They should have experience using the following software/tools:+ AWS or GCP big data tech: Big Query, Redshift, Data Pipelines, etc.+ Relational SQL databases such as RDS, MySQL, SQL Server etc.+ AWS or GCP cloud services such as EC2, S3, IAM, EMR, etc.+ Ideally they would have some experience/exposure to the following tech:+ Stream-processing systems: Kafka, Storm, Spark-Streaming, etc.+ Open source data tech such as: DBT, Airflow, etc.+ Bonus for experience with development languages: Python, Java, Scala, etc.**EEO Statement**Barnes & Noble Education, Inc. is an Equal Employment Opportunity and Affirmative Action Employer committed to diversity in the workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.**#LI-VF1****Job Locations** _US-NJ-BASKING RIDGE | US-CA-LOS ANGELES_**ID** _2022-3486_**Category** _Finance & Accounting_**Position Type** _Regular FT_