About this opportunity
Apple Inc. lists this Senior Software Engineer - Strategic Data Solutions opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Software Engineer - Strategic Data Solutions
Austin, Texas, United States Corporate Functions
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
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 ML initiatives for Apple Retail and Fraud prevention efforts of SDS.You will be:
Developing and implementing production software for retail ML initiatives and preventing retail 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
Responsible for Release engineering and ML Operations
Expected to operate independent of supervision, with limited guidance
Lead the team to increase the level of maturity and skill in analytical software development
Minimum Qualifications
BS or advanced degree in Computer Science, related field or equivalent experience
Mastery of one of Java, Python, or equivalent language
Experience with Big Data & building ETL Data Pipelines
Experience with messaging systems, such as Kafka
8+ years of experience in software engineering/data science
Experience building data science or data analysis tools on AWS/GCP/Cloud based systems
Preferred Qualifications
Experience with Docker, Kubernetes, or cloud platform deployment
Experience with Relational databases and NoSQL databases
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
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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.