Software Development Engineer - Data

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Description APPLE INC has the following available in Seattle, Washington. Design, build, iterate and product ionize Data Pipelines for AI/ML. Design, create, and maintain Data Pipelines that populate a petabyte scale data warehouse. Design and build a data platform that can scale to build data sets. Work on projects of diverse scope and complexity, design, build, implement, modify, test, debug and deploy software systems, large-scale data platforms that are the foundation for data applications. Works on performance, reliability, availability, scalability of the data pipelines. Build data quality tools and data frameworks. Add observability and support data pipelines to ensure production data pipelines and datasets. Collaborate with Data Infrastructure teams to provide input to improve the underlying platform. Partner with teammates across data organization to answer questions, to provide support, and to innovate in taking data warehouse to the next level. 40 hours/week. 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 $185,058 - $258,100/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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.

Minimum Qualifications

• Masters degree or foreign equivalent in Computer Science, IT, Data Science, Computer Engineering, or related field and 4 years of experience in the job offered or related occupation.
• 4 years of experience with each of the following skills is required:
• Utilizes Data Principles, Data Architecture & Data Modeling, Strong SQL or HiveQL or PigLatin.
• Large scale dataset development for multiple use-cases including analytics or Machine Learning or Search.
• 3 years of experience with each of the following skills is required:
• Experience in large-scale data processing using programming language Java, Scala or Python.
• Experience in Open-source data formats storage including Apache Hive or Apache Parquet or Apache Iceberg.
• Experience with large scale data analysis and data quality using tools including pandas, jupyter notebook or superset.
• Experience building distributed data processing applications using Apache Spark or Apache Pig.
• Experience with data transformation, enrichment for large scale data using Apache Spark or Apache Flink.
• Experience in orchestration engines including Apache oozie or Apache Airflow for large scale data processing.
• 2 years of experience with each of the following skills is required:
• Experience with developing features for machine learning models using tools including scikit-learn or tensorflow or pytorch.
• Experience in machine learning or data mining for data curation and improving corpus quality.

Preferred Qualifications

• N/A

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 .