Data Engineer

Job Description:

THE OPPORTUNITY / RESPONSIBILITIES

Develop, deliver, and manage the lifecycle of new and existing software applications and systems that reach teachers, students, and parents across the world. Manage the full software development life cycle including building, testing, and deploying enhancements to existing software and infrastructure. Participate in the Agile development process as part of a dynamic project team working closely with domain teams on a variety of new and existing projects. Remote work permitted within reasonable commuting distance of the New York, NY office.

About Scholastic

Scholastic Corporation (NASDAQ: SCHL) is the world's largest publisher and distributor of children's books, a leading provider of print and digital instructional materials for pre-K to grade 12, and a producer of educational and entertaining children's media. The Company creates quality books and ebooks, print and technology-based learning programs, classroom magazines and other products that, in combination, offer schools customized solutions to support children's learning both at school and at home. The Company also makes quality, affordable books available to all children through school-based book clubs and book fairs. With a 100+ year history of service to schools and families, Scholastic continues to carry out its commitment to "Open a World of Possible" for all children. Learn more at Scholastic.com/AboutScholastic.

Qualifications

HOW YOU CAN FIT (Qualifications)

• Bachelor’s degree in Data Science, Computer Science, Computer Engineering or a closely related field of study and three years of experience as a Data Engineer, Business Intelligence Analyst, Data Analyst, Intelligence Analyst or a closely related occupation.

• OR Master’s degree in Data Science, Computer Science, Computer Engineering or a closely related field of study and one year of experience as a Data Engineer, Business Intelligence Analyst, Data Analyst, Intelligence Analyst or a closely related occupation.

Also requires experience in the following:

• Data structures and algorithms.

• Programming languages like Java, JavaScript, Python, C++.

• Software development and testing tools.

• Using SQL for data wrangling, extraction, and standardizing.

• Using Kafka and Glue to ingest data from Data Lake into Redshift and Aurora.

• Migration of the AWS ETL Framework into data transformation tool; and supporting the daily production runs for ingestion from S3, Kafka and direct API calls.

Time Type:

Full time

Job Type:

Regular

Job Family Group:

Information Technology

Location Region/State:

New York

Compensation Range:

Annual Salary: 120,000.00 - 132,000.00

EEO Statement:

Scholastic is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of race, religion, color, sex, pregnancy, national origin, marital status, sexual orientation, gender identity or expression, age, non-disqualifying physical or mental disability, or status as a disabled veteran or Vietnam veteran. Those factors shall not influence the determination of qualifications for a job or other opportunity within the company. Further, all personnel actions (such as compensation, tuition aid, benefits, transfers, promotions, and dismissals, company-sponsored training, social and recreational programs) shall be administered without discrimination.

EEO is the Law Poster

EEO Scholastic Policy Statement

Pay Transparency Provision