18 days old

Data Engineer

San Diego, CA 92101
  • Job Code
Job Description

External Manufacturing Production team (EMP) is a department within Global External Manufacturing and Sourcing (GEMS) chartered with enabling world class collaboration and execution with our 3rd party Foundry, Assembly and Test suppliers. EMP seeks a dynamic Operational Analytics Data Engineer to support the Data Analytics and IT Team (DA).

The ideal candidate will be inquisitive, motivated and have a strong affinity to data with proven experience in delivering analytics and data solutions within the supply chain domain.

As the EMP DA Data Engineer, you will be responsible for but not limited to:

  • Delivering Operational Analytics and Automation solutions in partnership with business subject matter experts and super users to solve complex problems and developing an effective analytics self-service community within the business.

  • Designing and applying leading Data Analytics solutions to influence how the business groups in EMP use analytics as an integral ingredient to a world class Manufacturing organization.

  • Drive Analytics processes, documentation and governance.

  • Drive Data Infrastructure and best practices for data pipelines.

  • Developing algorithms and mathematical models, performing experimentation and building data driven apps to translate data into intelligence.

  • Solve a variety of business problems and enable business strategy.

  • Delivering data engineering and automation capabilities that enable analytics solution.

  • Enabling EMP wide data culture through engagements with customers, educating them on technical capabilities available and facilitating data accessibility and awareness initiatives.

The ideal candidate should exhibit the following behavioral traits:

  • Understanding of internal business segment (stakeholders).

  • Possess written and communication skills. Willing to clearly communicate project status, risks and help needed. Be able to elicit requirements, discuss solution options and drive adoption with customers.

  • Self-starter, responsible, dependable and inquisitive.

  • Desire to drive change and infuse new mindset to streamline our business.

  • Challenges status quo and has a passion to drive smart change using data.

  • Project management skills as well as Supply Chain business background with a track record of leading and delivering complex projects thru multi-disciplinary, matrixed cross- geo teams and partnerships.

  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.


Minimum Qualifications:
The candidate must possess at least one of the following degrees plus the years of experience determined for each degree in the areas specified below:

  • Bachelor's Degree in Data Analytics/Engineering, Computer Science, Machine Learning, Mathematics OR Master's Degree Data Analytics/Engineering, Computer Science, Machine Learning

4+ years of experience with three (3) or more of the following:

  • Proficiency with real-world experience, and areas Business Intelligence products.

  • Cleansing and transforming data.

  • Developing BI models and solutions using Microsoft BI stack Power BI On Premise Cloud.

  • ETL techniques traditional cloud DAX SQL Studio.

  • Extracting data from different sources including Excel, REST APIs, different databases.

  • Large data set manipulation.

  • Azure Data Platform including Synapse/SQL/DataLake, LogicApps, Data Factory.

  • Statistics and analytics to find patterns and relationships in data.

  • Creation of data models and visualizations to tell a compelling story and interpret the results that will motivate others to drive change and action to drive business optimizations.

  • Predictive modeling statistics Machine Learning Data Mining and other data analysis techniques to collect explore and extract insights from structure and unstructured data.

  • Analytics languages and frameworks such as Python, R, Plotly, Dash.

Preferred Qualifications:

  • Work experience in Supply Chain is preferred.

  • Hands on experience with Agile Development methodology and framework.

  • Lean Six Sigma certification.

  • MS Azure Data Platform certification.

  • APICS CSCP certification.

Inside this Business Group

Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customer voice and deliver solutions that accelerate their business. We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.

Other Locations

US, Arizona, Phoenix;US, California, Folsom;US, California, Santa Clara;US, Oregon, Portland;US, Texas, Austin

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

Posted: 2022-05-09 Expires: 2022-06-09

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Data Engineer

San Diego, CA 92101

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