data reporting analyst - production support engineer

operations product development - design intelligence analyst

administrative assistant, hardware technology

administrative assistant, platform apps & technologies

ai researcher

ai/ml engineer, applied data science Jobs in Cupertino

ai/ml engineer, applied data science

data engineer, part dataops Jobs in Cupertino

data engineer, part dataops

data reporting analyst - production support engineer Jobs in Cupertino

operations product development - design intelligence analyst Jobs in Cupertino

data analyst

Apple

As a Commodity Finance Analyst, you will play a critical role in managing Apple's commodity costs, ensuring accurate financial reporting, and supporting strategic decision-making within the Worldwide Procurement Finance team. You will be responsible for forecasting commodity prices, analyzing variances, and collaborating with operations and supply chain teams to optimize costs and mitigate risks in a dynamic global market. Additionally, this role requires strong technical expertise in data querying, dashboard development, and large-scale data analysis. You will design and build scalable Tableau dashboards, write complex SQL queries, and leverage tools such as Dataiku to improve reporting efficiency, enhance data transparency, and support strategic decision-making. 
 
Your work will directly influence gross margin performance, operational efficiency, and strategic sourcing decisions in a fast-paced global environment. 
 
Description 
 
The Worldwide Procurement Finance group provides analytical support for key cost data, including standard costs, forecasted costs, and actual costs for Apple&rsquo;s extensive range of commodities. As a Commodity Financial Analyst, you will report to the Manager of Commodity Financial Management and support specific commodities or categories. 
 
This role expands beyond traditional financial analysis to include ownership of data architecture, dashboard development, and process automation. You will work with large, complex datasets from multiple systems (ERP, supply chain, contract manufacturers, suppliers), transforming raw data into actionable insights and executive-level reporting. 
 
You will operate with minimal direct supervision, performing complex and non-routine analytical tasks that directly impact gross margin and profitability. The ideal candidate combines strong financial acumen with technical data skills and a continuous improvement mindset. Our team is highly collaborative and values innovation, automation, and scalable solutions. 
 
&quot;,&quot;responsibilities&quot;:&quot;Design, develop, and maintain interactive Tableau dashboards for commodity cost analysis, reporting, and executive reviews. 
 
Write complex SQL queries to extract, transform, and analyze large datasets from ERP and data warehouse systems. 
 
Leverage tools such as Dataiku (or similar platforms) to automate data preparation, modeling, and reporting workflows. 
 
Build scalable, automated reporting solutions to improve efficiency and reduce manual processes. 
 
Prepare key commodity forecasts used in monthly purchase price variance (PPV) forecasting and gross margin analysis. 
 
Reconcile actual costs to forecasted costs and analyze key drivers of commodity cost changes. 
 
Perform supply chain analysis to identify trends, risks, and cost optimization opportunities. 
 
Reconcile and analyze supply chain data against contract manufacturer and supplier data. 
 
Prepare quarter-end accounting entries to accurately represent commodity costs in financial statements. 
 
Support ad hoc supply chain business process reengineering initiatives. 
 
Preferred Qualifications 
 
Experience with SAP or other ERP systems. 
 
Experience with Dataiku or similar data science/ETL platforms. 
 
Operations and Supply Chain Finance experience. 
 
Experience with data modeling, automation, and process optimization initiatives. 
 
Familiarity with data warehousing concepts and financial data governance. 
 
Programming experience in Python or similar language for data analysis (a plus). 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Accounting, Finance, Data Analytics, Information Systems, or related field. 
 
5+ years of experience in finance, supply chain finance, cost accounting, or related analytical role with strong technical exposure. 
 
Advanced Excel skills (financial modeling, large dataset handling, complex formulas). 
 
Strong SQL skills with demonstrated experience querying large relational databases. 
 
Experience building dashboards and visualizations in Tableau (or comparable BI tool). 
 
Experience working with large, complex datasets across multiple systems. 
 
Strong analytical and problem-solving skills at both macro and micro levels. 
 
Excellent oral and written communication skills with the ability to translate complex data into clear business insights. 
 
Detail-oriented with strong ability to handle ambiguity and uncertainty. 
 
Proven ability to work independently and drive results. 
 
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 . 
 
Pay &amp; 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 $137,900 and $207,300, 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.

Commodity Finance & Data Analyst

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
As a Data Analyst on Apple&rsquo;s Storage Analytics team, you&rsquo;ll play a key role in developing the fastest, most efficient SSDs for products including iPhone, iPad, Apple Watch, and Apple Silicon Macs. We&rsquo;re seeking an exceptional analyst with expertise in distributed data processing and a proven ability to transform data into actionable insights. If you&rsquo;re passionate about advancing how data is used to make Apple&rsquo;s products even better, we&rsquo;d love to hear from you! 
 
Description 
 
On the Storage Data Analytics team, we are responsible for ad hoc data analysis, developing and maintaining distributed data pipelines, and creating and supporting analysis tools. Our work focuses on Apple&rsquo;s storage solutions. The team is small and nimble, able to quickly explore ideas and present them to both storage teams and leadership. 
 
&quot;,&quot;responsibilities&quot;:&quot;Performing exploratory data analysis to assess the feasibility of investigations. 
 
Using Jupyter and Tableau to explore and visualize data, and publishing findings to client teams. 
 
Building data pipelines to extract data from HDFS, transform it in Spark, and deliver it to Postgres and Tableau. 
 
Delivering analyses through self-service dashboards as well as in-person presentations with other teams and engineering leaders. 
 
Preferred Qualifications 
 
Master&rsquo;s or PhD in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills 
 
Familiarity with distributed computation, storage, and workflow management (e.g., Splunk, Spark, Kubernetes, Kafka, Hadoop, MapReduce, Airflow, etc.) 
 
Knowledge of storage concepts, SSDs, and I/O paradigms 
 
Highly organized, creative, motivated, and results-driven 
 
Minimum Qualifications 
 
4+ years of experience in data analytics 
 
Professional programming experience with Python 
 
Experience working with relational databases and SQL 
 
Ability to lead data investigations and analysis projects with ambiguous requirements 
 
Advanced knowledge of statistics and modeling 
 
Experience visualizing and presenting analyses using tools such as Jupyter and Tableau 
 
Excellent written, verbal, and data communication skills 
 
BS in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills 
 
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 . 
 
Pay &amp; 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 $147,400 and $272,100, 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.

Senior Data Analyst - Storage Technologies, Core OS

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Key Responsibilities
</div><ul><li> Experience in Sales or Channel Performance reporting and related metrics and KPIs, ideally within a technology company
</li></ul><ul><li> Demonstrated ability to support business-critical Business Intelligence platforms in an operational capacity
</li></ul><ul><li> Experience querying data sources to investigate, validate, and explain data to business users
</li></ul><ul><li> Experience working with BI platforms and tools such as Tableau, ThoughtSpot, Business Objects, or equivalent
</li></ul><ul><li> Ability to manage concurrent support requests across multiple platforms and time zones with consistent quality and responsiveness
</li></ul><ul><li> Strong written and verbal communication skills, with the ability to translate technical findings into clear business language
</li></ul><ul><li> Bachelor's degree or equivalent experience required</li></ul> 
<div> 
</div><div>Preferred Qualifications
</div><ul><li> Familiarity with B2B and B2C sales reporting structures, including Institutional Sales, Consumer Channel metrics, and related data definitions such as ICDF
</li></ul><ul><li> Experience operating within automated support workflows (e.g., Slack-based intake, chatbots, or ticketing systems) and managing exception handling when automation is insufficient
</li></ul><ul><li> Ability to work effectively in a globally distributed team model with regional handoff requirements and follow-the-sun coverage expectations
</li></ul><ul><li> Knowledge of data pipeline concepts sufficient to distinguish between data latency, logic errors, and platform defects during investigation
</li></ul><ul><li> Experience collaborating with engineering and product teams to escalate, document, and track resolution of platform issues</li></ul> 
<div> 
</div><div>Salary Range : $70,000-$130,000 a year
</div><div>#LI-AS3
</div></div></div></div><div><div><div>Location</div>
<div>Cupertino, CA</div>
</div><div><div>Job Function</div>
<div>TECHNOLOGY</div>
</div><div><div>Role</div>
<div>Engineer</div>
</div><div><div>Job Id</div>
<div>406145</div>
</div><div><div>Desired Skills</div>
<div>Business Intelligence(BI) | Tableau | Data Analyst | Sales</div>
</div><div><div>Salary Range</div>
<div>$70,000-$130,000 a year</div></div></div></div><div></div>

Data Reporting Analyst - Production Support Engineer

The App Store is the world's safest and most vibrant app marketplace, serving more than 700 million people each week. Since the App Store launched in 2008, it has helped creators, dreamers, and learners of all ages and backgrounds connect with the tools and information they need to build a brighter future and a better world. It has enabled countless new companies, spawned new industries, and created millions of jobs. A significant driver of the global economy, the App Store facilitates over a $1 trillion in developer billings and sales annually, rewarding developers and entrepreneurs for their hard work and creativity. And we believe we&rsquo;re just getting started! 
 
The App Store Monetization team is seeking an analyst to play a pivotal role in shaping the future of in-app purchase analytics. In this role, you&rsquo;ll partner with cross-functional teams to deliver critical commerce metrics and actionable platform-level insights that directly empower developers and foster their success on the App Store. We are looking for an individual who is deeply passionate about uncovering growth opportunities and deriving actionable insights from data, coupled with a profound understanding of emerging mobile commerce trends. The ideal candidate will possess extensive experience in conducting in-depth quantitative analysis within the digital commerce landscape, demonstrating a highly collaborative mindset and a drive for impact. 
 
Description 
 
As an IAP-focused analyst on the App Store Monetization team, you'll help to drive the development and execution of our commerce metrics and insights roadmap as well as support evangelization and enhancement efforts of the In-App Purchase conversion funnel. In close partnership with cross-functional teams, you will empower internal stakeholders and developers to more deeply understand and optimize in-app payment flows on the App Store. &quot;,&quot;responsibilities&quot;:&quot;Defining and developing metrics to accurately measure and highlight the effectiveness of purchase flows, collaborating closely with commerce, data science, and product teams. 
 
Generating, packaging, and effectively communicating data-driven insights to empower developers in optimizing their in-app purchase strategies through scaled channels or ad-hoc support. 
 
Collaborating with the Business Intelligence team to create and train internal stakeholders on impactful data visualizations while partnering with the Product team on the developer tools roadmap. 
 
Working alongside cross-functional teams to develop actionable insights that optimize the developer onboarding experience for successful in-app purchase integration. 
 
Preferred Qualifications 
 
Demonstrated expertise within the mobile app ecosystem, specifically in reporting, analyzing, and optimizing app monetization strategies and payment flows, including (but not limited to) in-app purchases. 
 
An adaptable self-starter who thrives in dynamic environments, exhibiting exceptional critical thinking skills and the ability to strategically navigate evolving business challenges. 
 
Bachelor&rsquo;s degree or equivalent experience; JD or MS/MBA a plus. 
 
Minimum Qualifications 
 
7+ years of experience in a data analyst, business analyst, or similar quantitative role, specifically focused on digital commerce or e-commerce analytics. 
 
Strong quantitative and analytical skills, with advanced proficiency in data collection, organization, analysis, and dissemination of large volumes of data using tools like SQL, Excel, and Tableau (or equivalent). 
 
Demonstrated ability to synthesize complex data into clear, actionable insights and communicate them effectively through compelling narratives, presentations or strategic recommendations. 
 
Proven track record of proactively driving projects forward that rely on cross-functional deliverables and partnership. 
 
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 . 
 
Pay &amp; 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 $146,800 and $221,200, 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.

Analyst, IAP and Commerce

The Retail Finance Process, Analytics, Reporting, and Technology (PART) team is looking for a passionate and highly motivated analyst. As part of this team, you will support Apple's growth, both top and bottom line, by applying the same level of innovation toward financial matters as we do toward our products and services. We work closely with various business teams to deeply understand current and future commercial initiatives and then partner with data engineering, data science and full stack development teams to ensure our finance teams are fully empowered to operate efficiently and make well informed decisions. 
 
Description 
 
We are looking for an outgoing professional with high analytical capacity, creativity, intellectual curiosity and strong interpersonal skills to support the WW Retail Finance Organization. In this role, you will be responsible for partnering across business teams to execute on internal reporting, applications and data optimization. This work will enable to Retail Organization to leverage opportunities and improve key finance capabilities. The position requires the ability to understand and work with complex data sets, generated from equally complex business processes, in order to drive insights. &quot;,&quot;responsibilities&quot;:&quot;Deeply understand Apple's relevant business activities, commercial interests and related processes 
 
Partner with and train analysts to best use our data and technology infrastructure for building dashboards/reports and conducting analyses 
 
Proactively identify opportunities to improve processes, tools, or analysis, demonstrating intellectual curiosity beyond the immediate scope of work. 
 
Translate opportunities/business requirements into technical requirements and work with technical partners to assess feasibility and form project plans 
 
Communicate the business value of proposed projects to senior leadership by framing opportunities in terms of impact, feasibility, and alignment with strategic goals, enabling effective prioritization and resourcing decisions 
 
Drive prioritized projects and communicate progress on planned milestones to senior leadership 
 
Collaborate with engineering and data partners to influence tool and pipeline design decisions that improve usability and long-term maintainability 
 
Document and share reusable frameworks, templates, and tools to improve onboarding and speed up solution delivery 
 
Preferred Qualifications 
 
Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly 
 
Strong verbal and written communication skills with ability to articulate results of analysis in business terms 
 
Confirmed ability to conduct complex, data driven analysis 
 
Knowledge of SQL and working with large datasets 
 
A basic understanding of data design pattern differences between transactional ERP systems (e.g. SAP) and analytical data warehouses (e.g. BigQuery, Snowflake) 
 
Experience building interactive data visualizations, strong storytelling skills (e.g. Tableau, Streamlit, Shiny) 
 
Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity 
 
Knowledge of accounting principles, financial statements, and financial modeling 
 
Experience with data analytics tools and languages (e.g. R, Python) 
 
Experience building/applying statistical and/or machine learning solutions to solve business problems 
 
Minimum Qualifications 
 
5+ years consulting or financial/business/data analyst experience 
 
BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research) 
 
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 . 
 
Pay &amp; 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 $137,900 and $207,300, 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.

Retail Finance - Process, Analytics, Reporting and Technology (PART) Analyst

In this position, the candidate will be working for the Hardware Validation Engineering (HVE) team on post-Silicon hardware system validation of next generation Mac systems. Our Engineering Team is responsible for architecting methods to test new system hardware with the macOS environment to catch issues early in the hardware life cycle. You will be a key technical and logistical contributor and will utilize your in-depth data analytic skills to help provide insight into Hardware behaviors related to Silicon and System performance, power, temperature and fault / error issues. 
 
Description 
 
As a Data Scientist / Analyst within the Hardware team your job responsibilities will include: 
 
Analyze large-scale hardware telemetry including power rails, thermal sensors, Power Silicon and SoC counters and performance logs, and stress-test measurements etc. 
 
Apply statistical modeling and ML techniques to identify anomalies, drift, hardware degradation patterns, and emerging failure signatures. 
 
Develop feature extraction pipelines tailored to silicon behavior-examples: rate-of-change of thermal zones, correlation of voltage droops with workload transitions, PMU-based bottleneck signatures. 
 
Build predictive models that estimate performance/power deviations, reliability risks, or stress-induced failures. 
 
Create clear, high-signal visualizations (e.g., multi-axis time-series overlays, workload-power envelopes, thermal gradients, event timelines) to support hardware debug and performance analysis. 
 
Automate root-cause discovery workflows using statistical correlations, temporal pattern detection, clustering of abnormal runs, and hardware-aware signal decomposition. 
 
Work closely with silicon design, system validation, and performance engineering teams to turn data insights into actionable design or validation recommendations. 
 
Continuously refine modeling and feature engineering methods as new hardware blocks, sensors, counters, and test modes become available. 
 
Data Extraction, Parsing and Storage own the pipeline for extraction and and storage into Databases and the structure. 
 
Preferred Qualifications 
 
Experience with dashboard platforms (Grafana, InfluxDB, Plotly Dash, Tableau). 
 
Familiarity with test automation data, debug logs, or hardware lab measurement tools. 
 
Experience in product validation, reliability, performance characterization, or silicon bring-up. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Computer Engineering, or Computer Science. 
 
Data Science / Statistical Expertise: Ability to handle asynchronous, high-frequency hardware telemetry and create anomaly detection based algorithms. 
 
Programming &amp; Tools: Python skills (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Plotly). 
 
Ability to write clean, reproducible analytical scripts for large datasets. SQL and experience working with validation data warehouses. 
 
Visualization Skills: Must be comfortable creating custom plots and interactive exploratory visualizations using Python and other analytical tools. 
 
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 . 
 
Pay &amp; 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 $126,800 and $220,900, 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.

Software Development Engineer - Data

Services Finance Data Science and Engineering team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. You will provide a key function in shaping the success of Apple&rsquo;s current and future products. As members of the Services Finance Data Science and Engineering team, we work with various business and engineering teams to understand current and future business initiatives. We need to be persistent and flexible in extracting data from various sources, cleaning and curating this data, and then clearly and concisely communicating insights. 
 
Description 
 
The individual in this role will collaborate with data scientists, business analysts and subject matter experts (SME) to acquire, and transform raw data and develop sophisticated data products. This includes developing and maintaining data pipelines, extracting from different sources (databases, APIs, etc.), and transforming raw data into normalized tables after running data quality checks. A successful data engineer is skilled in taking a business problem and translating it into a data solution in close collaboration with data scientists, business analysts, and SMEs.&quot;,&quot;responsibilities&quot;:&quot;Building and maintaining pipelines to extract data from various external sources (e.g. databases, APIs, etc..) and move data to internal destinations (e.g. Snowflake, Cloud Storage, etc..) 
 
Maintain data dictionary, lineage and documentation 
 
Enhance existing Pipeline monitoring and develop functionality for data observability 
 
Enable Analysts and Tableau developers by curating datasets which are easily accessible 
 
Work with SME to understand the data requirements and to translate business problems into data solutions and products 
 
Monitor the health status of the tables and data pipelines and develop an alerting system for failures and problems 
 
Conduct POCs and test new methods and technologies based on the team needs 
 
Preferred Qualifications 
 
Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, etc. 
 
Understanding of dimensional modeling, data warehousing concepts, medallion and data lakehouse architectures 
 
Hands-on experience with building ETL process and writing unit tests using DBT or similar tools 
 
Minimum Qualifications 
 
Minimum of 5 years of working experience as a data engineer building end-to-end data pipelines 
 
Advanced SQL skills for complex transformations, optimization, and troubleshooting 
 
A Bachelor&rsquo;s degree in Statistics, Computer Science, Computer Engineering, or equivalent practical experience 
 
Python proficiency, comfortable writing clean, maintainable Python for data pipelines and automation 
 
Hands-on experience working with relational database management system such as Snowflake, PostgreSQL or similar cloud data warehouses 
 
Ability to work both independently and within a team environment 
 
Strong written and verbal communication skills, capable of explaining technical results to a non-technical audience 
 
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 . 
 
Pay &amp; 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 $118,500 and $197,500, 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.

Services Finance Data Engineer

Explore 84+ Data analyst in Cupertino this April. Find roles across top companies and apply now to boost your career.