Overview
USD 175,800.00 - 264,200.00 per year
Full Time
Skills
Data Management
Core Data
Extract
Transform
Load
Dashboard
Management
Collaboration
Privacy
Scalability
Root Cause Analysis
Innovation
Data Profiling
Data Cleansing
Data Validation
Informatica
SQL
Data Modeling
Computer Science
Analytical Skill
Conflict Resolution
Problem Solving
Attention To Detail
Data Quality
Continuous Integration
Continuous Delivery
Agile
Programming Languages
Python
Java
Data Warehouse
Snow Flake Schema
Machine Learning (ML)
Statistics
Cloud Computing
Amazon Web Services
Microsoft Azure
Data Governance
Master Data Management
Communication
Effective Communication
Payments
Job Details
Imagine what you could do here. At Apple, extraordinary 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. We are implementing an extraordinary Core Data system with a strong emphasis on Data Management, Data Quality, Data Validation, Data Transformations, and Data Pipelines at Apple. Apple's Partner Solution & Technology group is seeking a highly skilled and diligent Software Engineer to join our team. As a Core Data Engineer, you will be responsible for ensuring the accuracy, reliability, integrity and quality of our data systems. You will play a meaningful role in maintaining high data standards, implementing data quality improvement initiatives, and developing data quality metrics.
Description Key responsibilities will include: - Design, develop, and implement data quality strategies, processes, and tools - Analyze our data model and infrastructure, spotting gaps and suggesting architectural improvements - Develop and build a data pipeline to enable the master data management platform - Conduct data profiling, data cleansing, and data validation to identify and resolve data quality issues - Develop and maintain data quality metrics, dashboards, and reports to supervise data quality performance - Collaborate with data engineers, data analysts, and other collaborators to define data quality requirements and standard processes - Ensure high performance, privacy, security, scalability, and reliability in our solutions - Perform root cause analysis of data issues and implement corrective actions - Continuously improve data quality processes and tools through automation and innovation
Minimum Qualifications
Preferred Qualifications
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 $175,800 and $264,200, 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.
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 .
Description Key responsibilities will include: - Design, develop, and implement data quality strategies, processes, and tools - Analyze our data model and infrastructure, spotting gaps and suggesting architectural improvements - Develop and build a data pipeline to enable the master data management platform - Conduct data profiling, data cleansing, and data validation to identify and resolve data quality issues - Develop and maintain data quality metrics, dashboards, and reports to supervise data quality performance - Collaborate with data engineers, data analysts, and other collaborators to define data quality requirements and standard processes - Ensure high performance, privacy, security, scalability, and reliability in our solutions - Perform root cause analysis of data issues and implement corrective actions - Continuously improve data quality processes and tools through automation and innovation
Minimum Qualifications
- Overall 10+ years building enterprise level applications on large-scale distributed systems
- 5+ years of experience in roles such as Data Quality, Governance Engineer or a similar role
- Proficiency in data profiling or data cleansing or data validation techniques
- Experience with data quality and governance tools such as Informatica (other tool experience can also be considered)
- Deep SQL expertise, data modeling and experience with data governance
- Bachelor's degree in Computer Science or equivalent experience
Preferred Qualifications
- Strong analytical and problem-solving skills
- Strong attention to detail and commitment to data accuracy
- Strong understanding of data quality principles, practices, and methodologies
- Self-starter, able to handle ambiguity, identify risks, troubleshoot, and find the right people and tools to get the job done
- Familiarity with REST APIs and CI/CD pipelines
- Demonstrate a strong understanding of development processes and agile methodologies
- Familiarity with programming languages like Python and Java
- Experience in Enterprise-ready Cloud data warehousing platforms like Snowflake is highly valued
- Knowledge of machine learning and statistical analysis
- Experience with cloud data platforms (e.g., AWS, Azure)
- Certifications in data governance or master data management domain
- Excellent written and verbal communication skills, possessing the ability to work efficiently with members of other data functions and maintaining clear and effective communication with stakeholders
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 $175,800 and $264,200, 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.
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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.