2,326 jobs for "Data Analytics"

Portfolio Analytics & Strategy Analyst Senior - Marketing & Customer Analytics

At PNC Financial Services Group - Pittsburgh

Posted on Oct 17

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iCloud Data Scientist

At Apple

Posted on Oct 16

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Data Solutions Product Manager

At Apple - Cupertino

Posted on Oct 16

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Fraud Analytics and Innovation Leader - Digital Fraud Strategy

At Bank of America - Newark · Plano

Posted on Oct 15

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Business Analytics Lead Senior - Investment Data & Innovations

At PNC Financial Services Group - Pittsburgh

Posted on Oct 15

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Applied AI & Data Engineer - Business & Education

At Apple - Cupertino

Posted on Oct 14

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Applied AI & Data Engineer - Business & Education

At Apple - Cupertino

Posted on Oct 14

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Data Engineer, Vice President

At BlackRock - London

Posted on Oct 13

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Cybersecurity Data Engineering Manager

At Capital Group - New York · Charlotte

Posted on Oct 12

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Senior Product Data Scientist, Media Services

At Apple - Culver City

Posted on Oct 11

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Senior Product Data Scientist, Media Services

At Apple - Culver City

Posted on Oct 11

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VP - Senior Data Engineer

At BlackRock - Bengaluru

Posted on Oct 11

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Sr. Software Engineer (Data Solutions), IS&T Ai & Data Platforms

At Apple - Austin

Posted on Oct 10

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Sr. Software Engineer (Data Solutions), IS&T Ai & Data Platforms

At Apple - Austin

Posted on Oct 10

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Principal Cloud Data Architect - Channels Data Platforms and Analytics

At Bank of America - Addison · Jersey City

Posted on Oct 9

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Senior Data Security Architect

At Cargill - Atlanta

Posted on Oct 9

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Intern, R&D Undergraduate Summer - TITANS: Mathematics and Analytics (MARTIANS), Onsite

At Sandia National Laboratories

Posted on Oct 9

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Software Engineer (Data Solutions), IS&T Ai & Data Platforms

At Apple

Posted on Oct 8

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Software Engineer (Data Solutions), IS&T Ai & Data Platforms

At Apple

Posted on Oct 7

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Managing Consultant, Services Business Development, Analytics

At Mastercard - Riyadh

Posted on Oct 7

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Apple

Software Engineer (Data Solutions), IS&T Ai & Data Platforms

ChinaPosted Oct 7, 2026

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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 ›

At Apple, extraordinary ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Artificial Intelligence and Data Platforms (AiDP) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's cloud analytics platforms and data pipelines. Apple's Enterprise Data Warehouse landscape caters to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions like Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions. We utilize proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. If you are looking to take on infrastructure problems at scale, both on-prem or in cloud, focusing on ease of use, ease of maintenance and most importantly implement solutions that are scalable, you will have fun in AiDP!

Description
We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure.

On our team you will build solutions that integrate open source software with Apple's internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.

This is a hard-core software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.

We are looking for a hardworking and passionate person to join this amazing team. If you feel this is you, we'd love to hear from you

Preferred Qualifications
Experience in Enterprise-ready Cloud Data-Warehousing platforms like Snowflake is highly valued
Hands-on knowledge of Spark cluster-computing framework & Kubernetes or similar containerization technologies.
Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
Hands-on knowledge and experience in Apache Iceberg, Data Lakehouse architecture and implementation is a plus
Experience in Apache Doris or similar real-time high concurrency analytics platform
Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving
Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud
Data Visualization Tools: Proficient in data visualization, with experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.

Minimum Qualifications
3 or more years experience building enterprise level applications on large-scale distributed systems with a bachelor's degree in Computer Science or equivalent experience
Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake or Big Query or Cloudera
Programming experience in building high quality software. Proficiency in at-least one of the following programming languages - Python, Scala or Java.
Strong hands-on experience in designing and development of cloud-based applications that include large scale compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.

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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