Data Engineer

Apple; Austin (TX); On-site; USD 135,000 - 246,000; Full time

Job summary

Apple Silicon Technology group seeks a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. You will bridge software and data engineering to construct robust data pipelines, analytics platforms, and data-driven applications for insights across iPhone, iPad, Mac, and more.

Join the Productization Data Tools team to design data architectures, optimize processing pipelines, and ensure data quality and governance across our

Qualifications

• Bachelor's degree plus 3 years of relevant experience in CS/SE or related.
• Strong Python and SQL programming skills.
• Experience with data systems and pipelines.

Responsibilities

• Design scalable data pipelines and processing systems.
• Parse and process text logs and STDF.
• Develop and optimize database performance and queries.
• Implement data quality monitoring and validation frameworks.
• Collaborate with data scientists to productize ML models.
• Monitor system performance and troubleshoot data infrastructure issues.

Skills

Python

Oracle SQL

Linux

Git

Data pipelines

ML workflows

Data visualization

Cassandra

Education

Bachelor's degree

Master's degree

Tools

Git

Oracle SQL

Linux

Cassandra

Job description

Summary

Do you love crafting elegant solutions to highly complex challenges. Do you intrinsically see the importance in every detail. As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and expertly handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. At Apple, innovative concepts swiftly transform into groundbreaking products, services, and customer experiences. By cultivating passion and unwavering dedication, the potential for extraordinary accomplishments becomes limitless.

Description

As a member of the Apple Silicon Technology group, you will collaborate in the design, creation, and enhancement of our data infrastructure, which underpins the productization of our semiconductors across iPhone, iPad, Mac, and numerous other devices. We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between software engineering and data engineering, constructing robust data pipelines, analytics platforms, and data-driven applications that empower our organization to derive valuable insights from extensive datasets. Within the Productization Data Tools team, you will assume the responsibility for developing and maintaining the software systems that underpin our data operations. Your role will entail close collaboration with data scientists, analysts, and product teams to establish reliable, high performing, and scalable data solutions. Your responsibilities will encompass designing data architectures, optimizing data processing workflows, and ensuring data quality and governance throughout our systems.

Responsibilities

• Design and implement scalable data pipelines and processing systems
• Parse and process text logs and STDF
• Develop and optimize database performance and query efficiency
• Implement data quality monitoring and validation frameworks
• Collaborate with data scientists to productize machine learning models
• Monitor system performance and troubleshoot data infrastructure issues

Minimum Qualifications

• Bachelors Degree plus 3 years of relevant experience (Degree in Computer Science, Software Engineering, or a related)

Preferred Qualifications

• Three or more years of experience in software development, with a specific focus on data systems
• Proficiency in Python programming language
• Experience with Oracle SQL and database design principles
• Experience with Linux operating systems
• Proficiency in version control systems (Git)
• Strong problem-solving and analytical abilities
• Excellent communication and collaboration skills
• Experience in semiconductor or high-tech research and development (R&D) and manufacturing environments
• Master's degree in computer science, data engineering, or a related field
• 5+ years of experience in data engineering or data-focused software development
• Experience with Cassandra NoSQL database
• Familiarity with machine learning workflows and machine learning operations (MLOps) practices
• Experience with data visualization tools and business intelligence platforms

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $134,800 and $245,800, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.

Apple accepts applications to this posting on an ongoing basis.