SummaryPosted: Weekly Hours: 40 Role Number:200557178Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Are you a Senior Data Engineer with a passion for very large data sets analytics and can provide solutions to real business problems? Or perhaps you thrive on performing data discovery and creating proof of concepts? Do you want to be part of an energetic team critical to the success of Apple? The Insight Analytics Engineering team is looking for a Senior Data Engineer that can quickly summarize complex problems, and soar in a dynamic, high-energy environment. Your rock solid integrity, teamwork and ability to work independently are valued and encouraged. Having the ability to quantify your decisions, critical thinking and using your gut instinct are all key qualities that make ourAnalytics Team successful and fun.DescriptionDesign, develop and maintain robust pipelines to support various LOBs analytics needs in multi-petabyte cloud environment. Perform in-depth analysis on our Analytics platform to help solve hard business questions. Developing maintain data models and architecture to support analytics reporting. Work side by side with exceptional people that run, optimize and scale our environment and help to tell meaningful stories with data. Stay current with latest trends and technologies in data analytics, and cloud computing Perform complex data analytics in new and innovative ways and leveraging your creativity to go beyond current tools to deliver amazing solutions. Work with high degree of independence, but supported by a broad technical team. Minimum Qualifications8+ years of hands-on experience with data analytics in large scale volumes in Cloud environment AWS and GCP.Experience with Spark, SQL, Trino and Big Data systems and toolsProgramming skills in Scala, Java, Python, or similar languagesExperience with Iceberg and high performant queries on S3Preferred QualificationsAbility to work with various cross functional teams to gather input and provide guidanceAbility to present information to peers and senior managementAbility to bring creative, simple and logical approaches to complex problemsTechnical minded with the aptitude to learn new technologiesExcellent problem solving and communication (verbal/written) skillsAbility to tell meaningful stories with dataExperience with Jupyter Notebooks, and BigTableBachelors in technical field (math, statistics, engineering, computer science, analytics, or similar)Pay & BenefitsAt 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 $187,000 and $280,800, 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 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.
