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JobsApple

Data Application Engineer

Apple

Data Application Engineer

Apple

Austin, TX

·

On-site

·

Full-time

·

2w ago

Compensation

$134,800 - $245,800

Benefits & Perks

Healthcare

401(k)

Equity

Learning Budget

Healthcare

401k

Equity

Learning

Required Skills

SQL

Python

Tableau

Linux

Do you love crafting elegant solutions to highly complex challenges. Do you intrinsically see the importance in every detail. As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and expertly handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. At Apple, innovative concepts swiftly transform into groundbreaking products, services, and customer experiences. By cultivating passion and unwavering dedication, the potential for extraordinary accomplishments becomes limitless.
Apple Silicon is seeking an individual to deliver data-driven insights to develop the next Apple products. We are seeking an individual to assist us in creating, sustaining, and improving our data analytics infrastructure. This includes setting up data pipelines, performing data analysis, and developing dashboards to visualize data. The engineer will provide insights by providing product performance reports, statistical and machine learning analysis, and model development.

Description:

Be a domain expert in data usage, availability, and structure. Set up product performance tracking and reporting. Improve and enhance the database, data pipeline, and develop and enhance dashboards to visualize and provide insights. Provide analysis and insights of the semiconductor product performance.

Collaborate with semiconductor product and test engineering teams to understand data needs and develop data delivery solutions. Work with infrastructure teams, including database administrators and database developers, to ensure the proper functioning of all data pipelines and the health of the data warehouse.","responsibilities":"Design and implement comprehensive product analysis frameworks for semiconductor test and manufacturing data.

Design and implement anomaly detection to improve product quality and prevent defects.

Perform statistical analysis and machine learning modeling to identify yield limiters and process improvement opportunities.

Create and enhance interactive Tableau dashboards and visualizations to communicate trends and insights.

Administer and optimize Yield Management Systems to ensure data integrity and system performance.

Collaborate with cross-functional teams, including product engineering, test engineering, and manufacturing, to drive product improvements.

Preferred Qualifications:

Strong proficiency in large datasets processing, extraction, analysis, and reporting

Experience in yield analysis, defect reduction, and process improvement

Proficiency in SQL database query and creating curated datasets

Proficiency in Python programming language

Strong proficiency in creating Tableau dashboards and workflows

Proven track record of taking ownership and successfully delivering results

Ability to learn new technologies and approaches

Strong analytical and problem-solving skills

Experience with Linux operating systems

In-depth knowledge of the semiconductor process, test, and manufacturing flow

Strong proficiency in statistical and machine learning analysis and model development within the high-tech manufacturing and test environment

Experience in Yield Management System administration:

Experience with STDF (Standard Test Data Format) handling and analysis

Experience with version control systems (Git) and software development best practices

Background in Six Sigma or other process improvement methodologies

Minimum Qualifications:

Bachelors Degree plus 3 years of relevant experience

(Degree in EE, MSE, ChemE, Statistic, Physics, or related)

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 .

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 $134,800 and $245,800, 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.

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit