Data Integration Engineer: US Technology Team
Location
Cupertino, CA | United States
Job description
Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!
Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers.
Apple's US Technology Team is looking for a talented individual who is passionate about crafting, implementing, and operating solutions that have a direct and measurable impact on Apple Sales and its customers.
As a Data Integration Engineer, you will develop infrastructure, systems, services, and tools for automating sales processes. We’re looking for an exceptional engineer that lives at the intersection of development, operations, data, and systems engineering to build solutions for large-scale continuous data transformation and delivery.
Key Qualifications
- Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- 8+ years of experience building scalable micro services and integrations.
- 2+ years working with Channels and Sales teams
- 2+ years of customer-facing experience (e.g., sales / solutions engineering, technical consulting, system integration, project management for enterprise accounts, etc.)
- Experience articulating and translating business questions into data solutions.
- Proficiency in API development (e.g., REST, GraphQL, gRPC) or ability to leverage existing APIs.
- Broad knowledge of web standards relating to REST, JSON, etc.
- Strong understanding of data modeling, data warehousing, and ETL concepts (Dataiku experience is a plus).
- Experience with data integration and data governance tools (e.g., Talend, Informatica, or Collibra)
- Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
- Experience with basic frontend dev (e.g., HTML, CSS, JavaScript, Bootstrap, JQuery, etc).
- Familiarity with cloud paradigms (e.g., AWS).
- Familiarity with Salesforce platform is desirable
- Proficiency in programming languages and tools such as Python, R, Git, Airflow, Notebooks.
- Ability to lead development projects from start to finish.
- Experience building and deploying semantic layers for analytics data is a plus
- Able to balance competing priorities, long-term projects, and ad hoc requirements.
- Ability to work in a fast-paced, dynamic, constantly evolving business environment.
Description
- Responsible for the development and design of data integrations and data ingestion processes for Apple internal and external data.
- Collaborate with external partners including communicating requirements, building relationships with our Partners’ key decision makers, and serving as their technical point of contact.
- Collaborate with Sales, Analytics, Data Science, other technical teams, and other internal business partners to understand and drive data-related requirements, to deliver the right solutions.
- Develop data models and mapping rules to transform raw data into actionable insights and reports.
- Collaborate with the analytics and data science teams to understand their requirements and deliver solutions that meet their needs.
- Design and implement a semantic layer that integrates analytics data from multiple sources in an efficient and effective manner.
- Play an active role in the development and maintenance of user documentation, including data models, mapping rules, and data dictionaries.
- Ensure data quality and accuracy by developing data validation and reconciliation processes.
Education & Experience
BS or MS in Computer Science or equivalent industry experience
Additional Requirements
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 $170,700.00 and $256,500.00, 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.
- Responsible for the development and design of data integrations and data ingestion processes for Apple internal and external data.
- Collaborate with external partners including communicating requirements, building relationships with our Partners’ key decision makers, and serving as their technical point of contact.
- Collaborate with Sales, Analytics, Data Science, other technical teams, and other internal business partners to understand and drive data-related requirements, to deliver the right solutions.
- Develop data models and mapping rules to transform raw data into actionable insights and reports.
- Collaborate with the analytics and data science teams to understand their requirements and deliver solutions that meet their needs.
- Design and implement a semantic layer that integrates analytics data from multiple sources in an efficient and effective manner.
- Play an active role in the development and maintenance of user documentation, including data models, mapping rules, and data dictionaries.
- Ensure data quality and accuracy by developing data validation and reconciliation processes. BS or MS in Computer Science or equivalent industry experience
Job tags
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