2,326 jobs for "Data Analytics"

Senior Data Engineer

At Apple - San Francisco

Posted on Oct 11

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Senior Data Engineer

At Apple - San Francisco

Posted on Oct 11

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Data Scientist - Strategic Data Solutions

At Apple - Austin

Posted on Oct 11

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Portfolio Analytics & Strategy Analyst Senior - Decision Science

At PNC Financial Services Group - Tysons Corner

Posted on Oct 11

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Portfolio Analytics & Strategy Analyst Senior - Decision Science

At PNC Financial Services Group - Strongsville

Posted on Oct 11

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Portfolio Analytics & Strategy Analyst Senior - Decision Science

At PNC Financial Services Group - Cleveland

Posted on Oct 11

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Portfolio Analytics & Strategy Analyst Senior - Decision Science

At PNC Financial Services Group - Philadelphia

Posted on Oct 11

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RCC Data Scientist

At Apple

Posted on Oct 9

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Vice President, Data Scientist (Open Finance)

At Mastercard - New York

Posted on Oct 8

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Vice President, Data Scientist (Open Finance)

At Mastercard - Harrison

Posted on Oct 8

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Data Insights Analyst

At Spectrum - Town of Stamford

Posted on Oct 8

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Manager Data Science - Global Payment Network AI Foundations

At Capital One - Riverwoods · Chicago

Posted on Oct 7

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Data Storyteller

At Apple - Cupertino

Posted on Oct 6

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Principal Data Engineer - Data Quality

At Mastercard - Pune

Posted on Oct 6

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Quantitative Analytics and Model Consultant - Fraud Model Validation

At PNC Financial Services Group - Pittsburgh

Posted on Oct 6

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Software Engineer - Data Platforms, IS&T Ai & Data Platforms

At Apple

Posted on Oct 5

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Business Analytics Lead - Regulatory Reporting

At PNC Financial Services Group - Pittsburgh

Posted on Oct 5

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Manager, CS Analytics III

At Chewy - Bellevue

Posted on Oct 3

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Software Site Reliability Engineer - AI & Data Platforms

At Apple - Hyderabad

Posted on Oct 3

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Software Site Reliability Engineer - AI & Data Platforms

At Apple - Bengaluru

Posted on Oct 3

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Apple

Senior Data Engineer

San Francisco, CA$150,400 – $277,600Posted 28 days ago

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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 ›

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. We are seeking an exceptional engineer with a background in large scale software development and delivery in hyper-scale distributed computing environments. You will work within cybersecurity software engineering team that drives Apache Spark's state-of-the art features and pushes the boundaries of what is possible in our industry.

Description

Apple is seeking an extraordinary individual to work on a team supporting and developing services which underpin mission critical information security capabilities. Spark expertise is a prerequisite. While previous experience in information security is not required, a sincere drive for security and privacy is required. This role will work closely with our engineering teams and with partner teams to ensure the successful design, development, and delivery of product objectives. The successful candidate will have a passion for technical excellence and team collaboration with a heavy focus on using cutting-edge technologies to build data intensive systems, designing and optimizing data models, and collaborating with cross-functional teams to solve complex data challenges.

Preferred Qualifications

5+ years experience in data engineering and demonstrated expertise with data modeling

5+ years of experience with JVM languages: Java or Scala

5+ years experience with big data platforms

Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases

Knowledge engineering expertise including semantic models and knowledge graphs

Experience working with cloud compute environments like OpenStack, AWS, and Azure

Experience mentoring engineers, conducting code reviews, and contributing to technical best practices and documentation

Knowledge of data quality frameworks and validation techniques

Knowledge of data governance and compliance frameworks

Minimum Qualifications

4 years+ demonstrated expertise in designing and implementing relational and medallion data architectures

4 Years+ demonstrated expertise in the design and implementation of production data pipelines at scale

4 Years+ demonstrated proficiency with JVM languages (Scala or Java preferred), Spark, Golang, or Swift

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 $277,600, 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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