Data Engineer at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Jul, 26

Salary

197500.0

Posted On

01 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data engineering, Python, Pyspark, Airflow, SQL, Tableau, ETL, Java, Hadoop, Cassandra, PostgreSQL, Iceberg, Data warehousing, Data modeling, Cloud computing, Data visualization

Industry

Computers and Electronics Manufacturing

Description

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. DESCRIPTION APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design, build, and maintain data pipelines that extract data from various sources such as databases (PostgreSQL, Cassandra, Iceberg, and hadoop ), APIs, data lakes, cloud storage or log files to Collect and consolidate data from multiple sources into a central data warehouse for reporting, analytics, and business intelligence purposes. Understand data sources, configure data extraction processes, manage data ingestion using Pyspark or Python, and automate the pipelines using Airflow to power data sources for analytics platforms like Tableau. Collaborate with machine learning engineers, data scientists, analysts, software engineers and managers to understand their data requirements and deliver them with reliable, distributed data pipelines to feed into data analytics and data visualization Platforms thereby allowing Apple’s stakeholders to easily leverage data in self-served manner. Perform data transformation tasks, including data cleaning, normalization, aggregation, and enrichment to prepare data for analytics and reporting pipelines. Utilize tools like SQL, scripting languages (Python), or ETL (Extract, Transform, Load) tools to manipulate and prepare data for predictive, statistical and trend analysis. Develop new and creative methodologies, such as self-optimizing data pipelines, and unified data pipeline that integrates and harmonizes data streams from various sources in real time, to evaluate test coverage and test pass rate to constantly improve Siri, by notifying and delivering feedback to engineering partners. Optimize existing data pipelines and database queries to improve performance and minimize latency of tableau dashboards. Identify and resolve bottlenecks, optimize data transformation processes, and implement indexing strategies to optimize data retrieval performance in databases. 40 hours/week. 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 $150,051 - $197,500/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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: https://www.apple.com/careers/us/benefits.html. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. MINIMUM QUALIFICATIONS Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Business Analytics or a related field and 2 years of experience in the job offered or related occupation. 1 year of experience in the following skills is required: Utilizing Tableau, including performing data preparation, data modeling, and data visualization. Experience monitoring metrics and assessing early signals or trends to identify or predict issues. Utilizing Java to build data infrastructure. Experience in Java libraries to improve data processing pipelines and experience processing large volume of data. Utilizing Microsoft Azure (or Google Cloud formerly known as GCP) to build, manage and analyze data at scale in a cloud environment. Utilizing Jupyter to prototype and explore data; and experience performing data manipulation, analysis and transformation. Experience extracting data from Iceberg, Postgres database and static excel (csv) files; and experience optimizing Extract, Transform, Load (ETL) pipelines. Utilizing Hadoop and Cassandra to store large volume of structure and unstructured data. Utilizing MySQL and postgreSQL to store relational data and query; and experience manipulating tables, performance tuning and completing database design. Utilizing Python and Spark to automate data-related workflows and processes; experience transforming data using Numpy and Pandas; experience performing statistical analysis and visualization. PREFERRED QUALIFICATIONS N/A

Responsibilities

Design, build, and maintain scalable data pipelines to consolidate data from various sources into a central warehouse for analytics. Collaborate with cross-functional teams to deliver reliable data solutions and optimize database performance for business intelligence platforms.