Overview
USD 112,900.00 - 188,100.00 per year
Full Time
Skills
Innovation
Analytics
Process Optimization
Interfaces
Financial Analysis
Reporting
Decision-making
Workflow
Web Applications
Finance
Database
Management
Software Development Methodology
Testing
Usability
Analytical Skill
Algorithms
Application Development
Data Flow
Specification Gathering
Data Engineering
Software Development
FOCUS
Computer Science
Data Science
Business Administration
Python
Flask
Django
Relational Databases
Microsoft SQL Server
PostgreSQL
Data Visualization
matplotlib
Plotly
Version Control
Git
Data Warehouse
Extract
Transform
Load
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Conflict Resolution
Problem Solving
Attention To Detail
Communication
Collaboration
Payments
Job Details
Imagine what you could do here. At Apple, we don't just create products - we create experiences that revolutionize industries. The diversity of our people and ideas fuels the innovation that runs through everything we do. Bring your passion for data and technology to your work and you could have an incredible impact! The Workflow Solutions team, within the Process, Analytics, Reporting & Technology (PART) Data Operations group, is seeking a talented and highly motivated Data Engineer. We empower Apple's Finance teams to operate more efficiently and make data-driven decisions by building and deploying innovative, user-friendly data applications. You will directly improve the day-to-day workflows of financial analysts, helping them unlock insights and drive business impact. This is a hands-on role where you'll see your work used by key stakeholders across the organization.
Description We are looking for a strong Data Engineer with a passion for building intuitive web applications that solve real-world business problems. This role is at the intersection of data engineering, software development, and financial process optimization. You will be responsible for designing, building, and deploying lightweight web interfaces and data tools - primarily using Python frameworks like Streamlit - to streamline financial analysis, reporting, and decision-making. Success in this role requires an individual who can quickly understand complex financial processes, translate those processes into technical specifications, and deliver high-quality, user-friendly data applications. You'll be a key collaborator with financial analysts, data scientists, and other engineers, building trust through clear communication and impactful solutions. Responsibilities: - Collaborate with financial analysts to deeply understand their current workflows, pain points, and analytical needs. - Design, develop, and deploy lightweight web applications (using Python frameworks like Streamlit) to automate tasks, visualize data, and improve the efficiency of financial processes. - Write clean, well-documented, and maintainable Python code. - Connect applications to various data sources (databases, APIs, data lakes) within Apple's data ecosystem. - Implement robust error handling, logging, and monitoring for applications. - Manage the full application lifecycle, from development and testing to deployment and maintenance. - Gather user feedback and iterate on applications to continuously improve their usability and functionality. - Work with data scientists to integrate analytical models and algorithms into data applications. - Contribute to the development of best practices for data application development and deployment within the team. - Document applications, data flows, and technical specifications.
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 $112,900 and $188,100, 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 We are looking for a strong Data Engineer with a passion for building intuitive web applications that solve real-world business problems. This role is at the intersection of data engineering, software development, and financial process optimization. You will be responsible for designing, building, and deploying lightweight web interfaces and data tools - primarily using Python frameworks like Streamlit - to streamline financial analysis, reporting, and decision-making. Success in this role requires an individual who can quickly understand complex financial processes, translate those processes into technical specifications, and deliver high-quality, user-friendly data applications. You'll be a key collaborator with financial analysts, data scientists, and other engineers, building trust through clear communication and impactful solutions. Responsibilities: - Collaborate with financial analysts to deeply understand their current workflows, pain points, and analytical needs. - Design, develop, and deploy lightweight web applications (using Python frameworks like Streamlit) to automate tasks, visualize data, and improve the efficiency of financial processes. - Write clean, well-documented, and maintainable Python code. - Connect applications to various data sources (databases, APIs, data lakes) within Apple's data ecosystem. - Implement robust error handling, logging, and monitoring for applications. - Manage the full application lifecycle, from development and testing to deployment and maintenance. - Gather user feedback and iterate on applications to continuously improve their usability and functionality. - Work with data scientists to integrate analytical models and algorithms into data applications. - Contribute to the development of best practices for data application development and deployment within the team. - Document applications, data flows, and technical specifications.
Minimum Qualifications
- 3+ years of experience in data engineering or software development with a focus on building data applications.
- Bachelor's degree in Computer Science, Data Science, Engineering, Business Administration or a related field required.
Preferred Qualifications
- Strong proficiency in Python programming and experience with web frameworks (required: Streamlit, preferred: Flask, Django).
- Experience working with relational databases (e.g., SQL Server, PostgreSQL) and data lakes.
- Familiarity with data visualization techniques and tools (e.g., Matplotlib, Seaborn, Plotly).
- Experience with version control systems (e.g., Git).
- Knowledge of data warehousing concepts and ETL processes.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) is a plus.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
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 $112,900 and $188,100, 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.