Full Stack Software Engineer - Strategic Data Solutions

Overview

Full Time

Skills

Data Skills
Machine Learning (ML)
Fraud
SDS
Data Analysis
Software Engineering
Data Science
JavaScript Frameworks
AngularJS
React.js
Backbone.js
Ember.js
Vue.js
HTML5
Cascading Style Sheets
JavaScript
API
Node.js
Flask
Spring Framework
Web Applications
Docker
Kubernetes
Cloud Computing
Relational Databases
NoSQL
Database
Object-Oriented Programming
Java
Python
C++
Software Development
Computer Science
Data Structure
Algorithms
Analytical Skill
Conflict Resolution
Problem Solving
Communication

Job Details

Are you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment? Imagine what you could do here At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Join Apple, and help us leave the world better than we found it. Apple's Strategic Data Solutions team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners. The Strategic Data Solutions Software Engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with data scientists and implement scalable, easy-to-use systems and tools. We are seeking a customer-focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.

Description As a Full Stack Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of both front end and back end systems and tools to support the fraud prevention efforts of SDS. With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you're interested in being a part of a team that's constantly learning and problem-solving, we'd love to talk with you.

Minimum Qualifications
  • BS/MS or advanced degree in Computer Science or Data Analytics related field or equivalent experience
  • 5+ years of experience in software engineering/data science
  • Extensive experience with a variety of different JavaScript frameworks, such as Angular, React, Backbone, Ember, Vue, Svelte
  • Ability to build complex, reusable components and scalable front-end architectures
  • Proficiency with modern web technologies like HTML5, CSS, Javascript and familiarity with the complete web stack
  • Understanding of API design principles and best practices
  • Deep Knowledge of backend technologies like Node.js and Express, Python and Flask, Java and Spring Boot, etc

Preferred Qualifications
  • Strong industry experience in designing building scalable and highly performant web applications
  • Experience with Docker, Kubernetes, or cloud platform deployment
  • Experience with Relational databases and NoSQL databases
  • Experience with one or more object oriented programing language such as Java, Python, C++ etc
  • Demonstrated understanding of the full software development lifecycle
  • Solid grasp of computer science fundamentals including data structures and algorithms
  • Self-motivated, proactive, and solution-oriented
  • Demonstrated excellence of analytical and problem solving skills
  • Demonstrated excellence in written and verbal communication
  • Ability to lead and influence technical decisions in a fast-paced and challenging work environment.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.