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Data Engineer Internship Amazon Jobs in Puerto Rico

PR

$25/hr

Internship, co-op, or academic project experience within medical devices, manufacturing, quality ... Collecting, analyzing, and documenting testing data and validation results. * Preparing and ...

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Showing results 41-60

Data Engineer Internship Amazon information

What does a data engineer intern do at Amazon?

A Data Engineer Intern at Amazon works on designing, building, and maintaining scalable data pipelines and systems to support business analytics and decision-making. Interns typically collaborate with experienced data engineers and other team members to process large datasets, ensure data quality, and optimize performance. They may also help automate data collection, transformation, and storage processes, gaining hands-on experience with Amazon's cloud technologies and big data tools. The internship offers an opportunity to develop technical skills in databases, programming, and data modeling in a real-world, fast-paced environment.

What are the key skills and qualifications needed to thrive as a data engineer intern at Amazon?

To thrive as a Data Engineer Intern at Amazon, you need a solid understanding of data structures, algorithms, and proficiency in programming languages such as Python, Java, or Scala, often supported by progress towards a degree in computer science or a related field. Familiarity with SQL, cloud platforms (especially AWS), and big data tools like Hadoop or Spark is typically required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in a fast-paced environment. These skills and qualities are crucial to efficiently manage data pipelines, contribute to impactful projects, and succeed within Amazon’s data-driven culture.

What types of projects and technologies do data engineer interns at Amazon typically work with?

As a Data Engineer Intern at Amazon, you can expect to work on projects involving large-scale data pipelines, data warehousing, and analytics solutions. Interns often gain hands-on experience with Amazon Web Services (AWS) tools such as Redshift, S3, and Glue, as well as programming languages like Python and SQL. You'll collaborate closely with software engineers, data scientists, and business analysts to design and optimize data systems that support Amazon's business operations. This role provides a strong foundation in both the technical and collaborative aspects of data engineering, offering ample learning opportunities in a fast-paced, innovative environment.

What is the difference between Data Engineer Internship Amazon vs Data Analyst Internship Amazon?

AspectData Engineer Internship AmazonData Analyst Internship Amazon
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud platformsData reporting, dashboards, business insights
Industry UsageTech, e-commerce, cloud servicesBusiness, marketing, finance

Both internships are common in Amazon's data teams but focus on different aspects. Data Engineer Internships involve building and maintaining data infrastructure, while Data Analyst Internships focus on analyzing data to generate insights. Candidates should choose based on their technical skills and career interests.

What are popular job titles related to Data Engineer Internship Amazon jobs in Puerto Rico?

For Data Engineer Internship Amazon jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Data Engineer Internship Amazon jobs in Puerto Rico look for?

The top searched job categories for Data Engineer Internship Amazon jobs in Puerto Rico are:


Job description

WHAT IS INFORMATION TECHNOLOGY??
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • IT - Data and Platform Engineering
  • IT - Data and Platform Engineering
    REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

    Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
    You must meet the following requirements by the closing date of this announcement.
    QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
    MINIMUM REQUIREMENTS FOR GRADE 12 LEVEL UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Teamwork and 9) Technical Competence.

    SPECIALIZED EXPERIENCE GS-13 LEVEL: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes:

    • Independently applying IT principles, concepts, methods, and practices to plan, analyze, implement, maintain, troubleshoot, or enhance IT systems, services, hardware, software, applications, interfaces, scripts, or related technology environments.
    • Performing computer projects, operational, or application-related assignments involving IT requirements and techniques, including resolving technical issues, validating system, application, or code testing and configuration.
    • Preparing technical documentation and applying federal cybersecurity, privacy, or regulatory requirements.
    • Working directly with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
    • Assessing system, service, or application performance, availability, reliability, usability, and operational effectiveness.
    • Identifying risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
    • Analyzing multiple technical alternatives and advising management or IT specialists on the selection, configuration, implementation, or improvement of IT solutions, including application components where applicable, to support mission and operational requirements.
    • Operating Python, Spark, Databricks, and AWS data services. Applying data normalization, ingestion automation, and schema mapping. Utilizing Structured Query Language (SQL) for searching, manipulating, and validating large datasets, and scripting languages like Python for automation and testing.
    • Experience with data quality dimensions (e.g., accuracy, completeness, consistency). Utilizing Extract, Transform, Load (ETL) processes and data pipelines and cloud platforms like Amazon Web Services (AWS), Azure, or (Google Cloud Platform) GCP.
    • Experience Applying DevOps and automation best practices by utilizing CI/CD repositories and pipelines and deployment automation (e.g. GitHub, GitHub Actions workflows) to ensure secure, reliable, repeatable, and scalable delivery of data engineering solutions and platform enhancements.

    AND
    You must also meet the following requirements:

    • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
      • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
      • Completed a formal vocational training program; or
      • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

    For more information on qualifications please refer to OPM's Qualifications Standards.

    Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
    FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
    We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER