2,335 jobs for "Data Analytics"

Software Engineer - Data Solutions, AI & Data Platform (AiDP)

At Apple - Sunnyvale

Posted on Oct 11

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Artificial Intelligence Software Engineer

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Senior Software Engineer

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Quantitative Analytics & Model Development Analyst Sr

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Product Management Group Manager- Marketing Customer Analytics

At PNC Financial Services Group - Tysons Corner

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Software Engineer, Big Data - Apple Services Engineering

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Lead Systems Engineer

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Business Data Analyst Project Intern (GBS) - 2026 Start

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Director, Data Strategy, Data Products & Activation

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VP/AVP, FICC eTrading Software Engineer, Global Markets Technology

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Lead Data Engineer

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Senior, Master Data Management, Systems Analyst

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Data Product Specialist

At Capital Group - Los Angeles · Irvine

Posted on Oct 4

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Manager, Analytics and Insights - AI Accelerator

At TD Bank - Montréal · Toronto

Posted on Oct 7

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Principal--Data, Analytics & AI Architect

At Fannie Mae - Reston

Posted on Aug 21

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Intern, R&D Undergraduate Year Round - PPVS Tooling & Planning, Onsite

At Sandia National Laboratories

Posted on Oct 1

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Sr. Threat Detection & Automation Engineer (with focus on Data Engineering)

At Northwestern Mutual – Corporate Careers - Milwaukee · New York

Posted on Jul 31

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Apple

Software Engineer - Data Solutions, AI & Data Platform (AiDP)

Sunnyvale, CA$150,400 – $225,300Posted 28 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

We are looking for a Software Engineer to help build next- generation of Applied Machine Learning Data Platforms. Applied Machine Learning Data Platform team provides platform engineering, data engineering tools, data pipelines, and services for various Machine Learning and Analyst teams. These help to train and deploy inference models, and run data analytics at scale to prevent Fraud and automate decisioning on multiple Apple Platforms like Apple Pay, Apple Media Products, App Store, Online Store, Retail, AppleCare and Manufacturing. Our team within the greater AiDP team is the Core Platform Engineering team which is a backbone of the platform, responsible for handling data at multi-petabyte scale with low latencies and high concurrency.

Description

We're looking for a Software Engineer with a strong data background and deep platform-thinking to design, build, and enhance a scalable, efficient data platform.

You'll bring hands-on experience in data warehousing and analytics, and thrive on solving hard, large-scale data problems. If you're passionate about building production-grade platforms and want to make a lasting impact at scale, we'd love to talk to you.

","responsibilities":"Architecting scalable data processing systems for real-time, near-real-time, and batch data pipelines.

Develop data engineering solutions in Python and advanced SQL.

Develop self service data engineering applications for business users.

Design complex Python, PySpark, SQL and data processing for large-scale data platforms including Snowflake and Apache Spark with SparkSQL.

Developing software system testing and validation procedures and documentation by writing efficient code that results in performant solutions;

Conferring with data processing or project managers to obtain and refine system requirements.

Monitoring existing software to correct errors, adapt it to new platform requirements, and implement new functionality.

Preferred Qualifications

Building highly scalable data engineering platform components and foundational tools in Python, Java, or Scala.

Deep experience working with AI models and tools such as Claude, building agents etc

Experience with large scale platform migration projects

Working with distributed frameworks including Apache Kafka and Apache Spark and Flink and knowledge of Cloud platforms and technologies

Minimum Qualifications

Bachelor's degree or equivalent in Computer Science, Information Systems, or a related field.

4+ years of subsequent data engineering experience across the required skills including data warehousing, big data and analytics domains

Deep understanding and experience of working with high volume, high concurrency platforms

Writing Spark, Trino or Snowflake, Flink code, Python and SQL for large scale relational data warehouses and data lake platforms on the cloud.

Designing data pipelines for structured and semi-structured data.

Iceberg or open table format experience

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 $150,400 and $225,300, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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