Software Engineer - Strategic Data Solutions

Summary Posted: Jul 30, 2024 Weekly Hours: 40 Role Number: 200509349 Home Office: Yes 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 (SDS) team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners. The SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers 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 Description 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. As a 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 systems and tools to support the fraud prevention efforts of SDS. You will be: • Developing and implementing production software for preventing fraud • Responsible for system architecture design • Working with external infrastructure teams to drive the development of infrastructure needs • Innovating by recognizing opportunities for automation and tools improvements • Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics • Responsible for technical leadership for a team of data scientists • Lead the team to increase the level of maturity and skill in analytical software development • Responsible for release engineering Minimum Qualifications Minimum Qualifications BS or advanced degree in Computer Science, related field or equivalent experience Mastery of one of Python, Java, Scala, C++ or equivalent language Experience building data science or data analysis tools on Hadoop/cloud based systems Experience with Relational databases and NoSQL databases Key Qualifications Key Qualifications Preferred Qualifications Preferred Qualifications Demonstrated understanding of the full software development lifecycle Excellent problem solving, critical thinking, and communication skills Solid grasp of computer science fundamentals including data structures and algorithms Solid ability to evaluate and apply new technologies in a short time Self-motivated, proactive, and solution-oriented Some experience with Docker, Kubernetes, or cloud platform deployment Education & Experience Education & Experience Additional Requirements Additional Requirements Apple is committed to creating a diverse working environment for everyone and is proud to be an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, disability, age, veteran or immigrant status. More Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.