Career Choice is Amazon’s education tuition benefit available to nearly 1M Amazon Associates in 14 countries. We’re in the midst of unprecedented growth as we expand to support more eligible Associates with more educational offerings, adding foundational GED and language programs, as well as Associates and Bachelor’s degree support, on top of the upskilling programs we already offer.
We’re looking for a results-oriented Sr. Data Engineer to own the underlying data infrastructure for our core Salesforce-based products: amazoncareerchoice.com, where Associates research and administer their benefit; the School Portal, where school and other third-party partners report student progression; and the expansion of Career Choice features into the A to Z app. You will work with both technical and non-technical stakeholders to determine the most effective way to design and manage our data to measure program success.
You will sit at the intersection of business and tech, working with members of the Career Choice Product, Education and Marketing teams to deeply understand the objectives of prioritized projects, and determine the most accurate ways to measure success, from student completion and proficiency in their studies to employee retention and advancement.
The successful candidate must have a track record of exceptional performance and love working in a dynamic, ambiguous, fast-paced environment in which managing multiple projects and priorities is the norm. You dive deep and like the complexity of systems but drive simple, innovative solutions for customer-facing experiences. You have excellent judgment and high standards. You are an articulate, persuasive communicator, a good writer, and strong partner. You are eager to pioneer new experiences, putting the customer first and challenging current processes.
Key job responsibilities
Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools and notification systems
Create automated alarming and dashboards to monitor data integrity.
Work closely with both business & tech stakeholders to make data driven decisions
Act as the subject matter expert for the data structure and usage
Establish and manage a data project prioritization process and cadence
Manage communication to the broader org on team priorities and progress
5+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in a company with large, complex data sources.
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda)
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Experience working with Salesforce
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.