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Data Engineer
Apple
Apple New York, NY
Apply
$133k-164k (estimate)
Full Time | Retail 2 Weeks Ago
Save

Apple is Hiring a Data Engineer Near New York, NY

Summary

Posted:
Weekly Hours: 40
Role Number:200549395
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work.Our technology and services power advertising in Apple News and Search Ads in the App Store. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data team is seeking a Data Engineer specializing in building high performance data stores to enable next generation analytical solutions. In this role, you will work as a key member of a data-centric team to drive the development, execution, and continuous improvement of core data infrastructure and processes. You will have a key role in the joint design and development of the data model, pipelines, implementation and delivery of the analytical data warehouse supporting our suite of customer experiences in addition to ad hoc and advanced analytics.You will be a key enabler for teams of architects, engineers, analysts, data scientists, and business users. A successful candidate will have experience building data processing pipelines, data models and managing cloud based data warehouse platforms.

Key Qualifications

  • Minimum 3 years experience in Cloud Data Engineering, preferably with a background in computer science, mathematics, or a related quantitative field.
  • Expertise in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or analogous architectures.
  • Deep SQL expertise, data modeling, dimensional modeling and experience with data governance.
  • Experience with the practical application of data warehousing concepts, methodologies, and frameworks.
  • Experience using data processing tools and technologies such as Python, Spark, Talend, Informatica, SSIS or DBT
  • Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind
  • Able to confidently express the benefits and constraints of technology solutions to technology partners, stakeholders, and team members.

Description

- Analyze our data model and infrastructure, spotting gaps and suggesting architectural improvements.- Collaborate with engineering teams to design and support the next generation of analytics and reporting systems!- Work with product and analytics teams to understand their specific data system needs.- Automate and optimize existing data processing tasks, recognizing patterns and implementing solutions.- Ensure high performance, privacy, security, scalability, and reliability in our solutions!- Guide partners on effective use of the data warehouse platform through knowledge sharing and best practices.- Comfortably work as part of a distributed team.

Education & Experience

Additional Requirements

  • Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
  • Apple benefits programs vary by country and are subject to eligibility requirements.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.

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 $116,105.60 and $208,300.00 annualized, 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.
    Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Retail

SALARY

$133k-164k (estimate)

POST DATE

05/01/2024

EXPIRATION DATE

06/30/2024

WEBSITE

applegroup.com

HEADQUARTERS

JONESBORO, AR

SIZE

25 - 50

FOUNDED

1993

TYPE

Private

CEO

MARY MARGARET SCHOLTENS

REVENUE

<$5M

INDUSTRY

Retail

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About Apple

Apple Group provides embroidery and screen printing.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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