Apple
Senior Data Engineer, Infrastructure Services
Apple, Sunnyvale, California, United States, 94087
Summary
Posted: Oct 30, 2024Weekly Hours: 40Role Number: 200575962Imagine 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 could accomplish. The Infrastructure Services Programs and Solutions team is looking for a passionate, self-motivated and hard-working engineer to be part of a diverse, fast paced and high-energy team. We are seeking an experienced Data Engineer to build high quality, scalable and resilient distributed systems that power the analytics platform and data pipelines. As a key player in our data initiatives, you will be instrumental in defining and delivering robust cloud-based analytical and big data solutions that drive significant business impact. If you thrive on solving complex data-related challenges, are passionate about building scalable data infrastructure, and are eager to see the direct consequences of your work on our business, we encourage you to apply!
Description
DescriptionIn this role, you will be at the forefront of designing, building, and operating innovative data solutions that are not only scalable but also adept at applying various technologies and frameworks to meet our complex business needs. Responsibilities: Collaborate with data scientists, data engineers, and partners to support data modeling, analysis, and reporting needs. Take ownership of individual platform components and help set the vision and architecture for it. Identify requirements of new features, and propose design and drive the solution. Use open source framework to build applications Build generic and reusable solutions that can scale and use various technologies and frameworks to address complex business requirements Building data warehouse solutions on cloud platforms, leveraging technology like AWS Redshift or Snowflake, and optimizing performance and cost for large-scale workloads
Minimum Qualifications
Minimum Qualifications
B.S in Computer Science, Mathematics, Statistics or similar field or equivalent experience.3+ years of industry experience in at least one or more of the following Data Engineering, Data Architecture, Dimensional Modeling, or Data WarehousingETL experience to design and build custom data pipelines using languages such as SQL, and PythonExperience in databases like MPP/NoSQL (Vertica, Snowflake, Redshift) to build metrics at scaleExperience in designing streaming data pipeline such as Kafka or Spark
Key Qualifications
Key Qualifications
Preferred Qualifications
Preferred Qualifications
M.S in Computer Science, Mathematics, Statistics or similar field5+ years of experience in architecting and building data warehouse solutions on cloud platforms, leveraging technology like AWS Redshift or Snowflake, and optimizing performance and cost for large-scale workloadsExperience with version control systems, CI/CD practices, testing, and migration tools for database and softwareExperience in backend API development and management using JavaProficiency in advanced SQL, performance tuningExperience automate testing, data verification, and deploymentsAbility to present and articulate key performance metrics to stakeholders and executives.Knowledge of data visualization tools like Tableau or PowerBI
Education & Experience
Education & Experience
Additional Requirements
Additional Requirements
Pay & Benefits
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 $140,700 and $280,200, 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.
More
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. Learn more about your EEO rights as an applicant.
Posted: Oct 30, 2024Weekly Hours: 40Role Number: 200575962Imagine 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 could accomplish. The Infrastructure Services Programs and Solutions team is looking for a passionate, self-motivated and hard-working engineer to be part of a diverse, fast paced and high-energy team. We are seeking an experienced Data Engineer to build high quality, scalable and resilient distributed systems that power the analytics platform and data pipelines. As a key player in our data initiatives, you will be instrumental in defining and delivering robust cloud-based analytical and big data solutions that drive significant business impact. If you thrive on solving complex data-related challenges, are passionate about building scalable data infrastructure, and are eager to see the direct consequences of your work on our business, we encourage you to apply!
Description
DescriptionIn this role, you will be at the forefront of designing, building, and operating innovative data solutions that are not only scalable but also adept at applying various technologies and frameworks to meet our complex business needs. Responsibilities: Collaborate with data scientists, data engineers, and partners to support data modeling, analysis, and reporting needs. Take ownership of individual platform components and help set the vision and architecture for it. Identify requirements of new features, and propose design and drive the solution. Use open source framework to build applications Build generic and reusable solutions that can scale and use various technologies and frameworks to address complex business requirements Building data warehouse solutions on cloud platforms, leveraging technology like AWS Redshift or Snowflake, and optimizing performance and cost for large-scale workloads
Minimum Qualifications
Minimum Qualifications
B.S in Computer Science, Mathematics, Statistics or similar field or equivalent experience.3+ years of industry experience in at least one or more of the following Data Engineering, Data Architecture, Dimensional Modeling, or Data WarehousingETL experience to design and build custom data pipelines using languages such as SQL, and PythonExperience in databases like MPP/NoSQL (Vertica, Snowflake, Redshift) to build metrics at scaleExperience in designing streaming data pipeline such as Kafka or Spark
Key Qualifications
Key Qualifications
Preferred Qualifications
Preferred Qualifications
M.S in Computer Science, Mathematics, Statistics or similar field5+ years of experience in architecting and building data warehouse solutions on cloud platforms, leveraging technology like AWS Redshift or Snowflake, and optimizing performance and cost for large-scale workloadsExperience with version control systems, CI/CD practices, testing, and migration tools for database and softwareExperience in backend API development and management using JavaProficiency in advanced SQL, performance tuningExperience automate testing, data verification, and deploymentsAbility to present and articulate key performance metrics to stakeholders and executives.Knowledge of data visualization tools like Tableau or PowerBI
Education & Experience
Education & Experience
Additional Requirements
Additional Requirements
Pay & Benefits
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 $140,700 and $280,200, 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.
More
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. Learn more about your EEO rights as an applicant.