678 jobs for "Software Engineer - Distributed Build Systems"

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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Site Reliability Engineer

At Apple - Hyderabad

Posted on Oct 3

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Full-stack Engineer 4 (Manager, IC)

At Capital One - New York

Posted on Oct 3

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lead software engineer

At Cadence Design Systems - Burlington

Posted on Sep 17

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Lead Software Engineer

At Cadence Design Systems - Burlington

Posted on Sep 17

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Privacy Engineer - Red Team - PDPO

At TikTok - San Jose

Posted on Jul 2

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Full-stack Engineer 5 (Senior Manager, IC)

At Capital One - McLean · Richmond

Posted on Oct 19

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Full-stack Engineer 5 (Go, Python, Java)

At Capital One - McLean · Chicago

Posted on Sep 30

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Full-stack Engineer 4 (Cloud Native, Microservices & AWS) ( Enterprise Platforms Technology)

At Capital One - Plano · McLean

Posted on Sep 27

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Full-stack Engineer 4 (Cloud Native, Microservices & AWS) ( Enterprise Platforms Technology)

At Capital One - Plano · McLean

Posted on Sep 27

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Full-stack Engineer 5 (Python, Typescript, React, AWS)

At Capital One - Cambridge · McLean

Posted on Sep 25

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Principal Data Engineer (AWS, Databricks, Ai, ML Flow, Data Architecture, Apache Airflow)

At Mastercard - Pune

Posted on Sep 22

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Principal Data Engineer (AWS, Databricks, Ai, ML Flow, Data Architecture, Apache Airflow)

At Mastercard - Pune

Posted on Sep 22

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[Early Career] Quality Engineer, Security Server Applications

At Apple

Posted on Aug 29

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Quality Engineer, Security Server Applications

At Apple

Posted on Jul 23

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Full-stack Engineer 4

At Capital One - Plano

Posted on Nov 8

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Senior Manager, Full-Stack Engineer (Java | JavaScript | Typescript | AWS)

At Capital One - Plano

Posted on Nov 8

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Full-stack Engineer 4

At Capital One - Plano

Posted on Nov 8

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Full-stack Engineer 5

At Capital One - Plano

Posted on Nov 8

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Apple

Senior Data Engineer

San Francisco, CA$150,400 – $277,600Posted 27 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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