Software Engineer - Strategic Data Solutions

Apple Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Apple Inc. is seeking a Software Engineer for Strategic Data Solutions in Austin. You will join a team building analytics tools to support sanctions screening and AML compliance.

You will work with machine learning and software engineers to design and deliver scalable systems that empower internal partners and customers. The role involves production software development, architecture design, and release engineering with emphasis on reliable analytics and automation.

Qualifications

• BS or advanced degree in CS or related field.
• Proficiency in Python, Java, Scala or C++.
• 4+ years of software engineering or data science experience.
• Experience with data analytics tools using Spark or cloud data lakehouses.

Responsibilities

• Develop production software for sanctions screening and AML compliance.
• Design robust, scalable software architecture.
• Collaborate with infrastructure teams to drive needs.
• Work with cross-functional teams to craft engineering requirements.
• Identify automation opportunities and improve tooling.
• Contribute to process improvements for analytics reliability.

Skills

Python/Java/Scala/C++

Software engineering

Data analytics tools

Spark

Education

BS or higher in CS or related field

Tools

Docker

Kubernetes

Cloud platforms

SQL/NoSQL databases

Job description

Software Engineer - Strategic Data Solutions

Austin, Texas, United States Software and Services

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 performing financial crimes regulatory compliance screening company-wide – including sanctions screening and anti-money laundering (AML) – to comply with global regulations and laws, while optimizing and empowering our customers and internal partners. The SDS software engineering team builds software and services to enable compliance decisioning. 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 sanctions screening and anti-money laundering compliance efforts of SDS.

• Developing and implementing production software for sanctions screening and anti-money laundering compliance
• Designing robust and scalable software architecture
• Working with external infrastructure teams to drive the development of infrastructure needs
• Working with cross-functional engineering team partners and business teams to craft engineering requirements
• Innovating by recognizing opportunities for automation and tools improvements
• Driving process improvements to bring efficiency and stability to compliance analytics
• Leading the team to increase the level of maturity and skill in analytical software development
• Designing to regulatory standards with rigorous and innovative engineering
• Responsible for release engineering

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
• 4+ years of experience in software engineering/data science
• Experience building data science or analytics tools using modern cloud data lakehouses or distributed compute frameworks like Spark

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.