Intel

Data Engineer

Intel

Phoenix, AZ, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you a tech-savvy problem solver with a passion for data? Do you thrive in a dynamic and innovative environment? If so, we have the perfect opportunity for you! We are seeking a highly skilled Data Engineer to join our team at Intel. As a Data Engineer, you will play a crucial role in collecting, organizing, and analyzing large sets of data to drive business decisions and insights. This is a unique opportunity to make an impact at one of the world's leading technology companies. To excel in this role, you must have a strong technical background, exceptional analytical skills, and a drive to constantly learn and improve. If you are ready to take your career to the next level, we encourage you to apply for this exciting position at Intel.

  1. Collect and organize large sets of data from various sources to be used for analysis and decision-making purposes.
  2. Develop and maintain data pipelines and infrastructure to ensure efficient and accurate data processing.
  3. Utilize programming and scripting languages to clean, transform, and manipulate data.
  4. Collaborate with cross-functional teams to understand data needs and develop solutions to address business challenges.
  5. Develop and implement quality control measures to ensure data accuracy and integrity.
  6. Design and maintain databases, data warehouses, and data lakes to store and retrieve data.
  7. Use advanced data mining and machine learning techniques to identify patterns and trends in data.
  8. Create data visualizations and reports to communicate insights and findings to stakeholders.
  9. Stay up-to-date with industry trends and best practices in data engineering and continuously improve processes and methods.
  10. Troubleshoot and resolve data-related issues and provide technical support to end-users.
  11. Document data processes, procedures, and workflows for future reference.
  12. Mentor and train junior team members on data engineering techniques and best practices.
Where is this job?
This job is located at Phoenix, AZ, USA
Job Qualifications
  • Bachelor's Degree In Computer Science, Information Technology, Or A Related Field.

  • Minimum Of 3 Years Of Experience In Data Engineering, Preferably In A Large-Scale Organization.

  • Proficiency In Programming Languages Such As Python, Java, And Sql.

  • Hands-On Experience With Big Data Technologies Such As Hadoop, Spark, And Kafka.

  • Strong Understanding Of Data Warehousing Concepts And Experience With Data Modeling And Etl Processes.

Required Skills
  • Sql

  • Python

  • NoSQL

  • Big Data

  • Data Modeling

  • ETL

  • Machine Learning

  • Hadoop

  • Data warehousing

  • Data Visualization

  • Cloud Computing

  • Data Mining

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • creativity

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

  • Empathy

Compensation

According to JobzMall, the average salary range for a Data Engineer in Phoenix, AZ, USA is $98,000 - $150,000 per year. This range can vary depending on factors such as experience, education, and specific job responsibilities. Some companies may also offer additional benefits, bonuses, and perks as part of their overall compensation package.

Additional Information
Intel is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedDecember 19th, 2023
Apply BeforeJune 21st, 2025
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About Intel

Intel Corp. engages in the design, manufacture, and sale of computer products and technologies. It delivers computer, networking, and communications platforms. It operates its business through the following segments: Client Computing Group, Data Center Group, Internet of Things Group, Non-Volatile Memory Solutions Group, Intel Security Group, and Programmable Solutions.

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