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Data Engineer Internship Amazon Jobs in Hialeah, FL

BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Engineering Internship

Miramar, FL · On-site

$15.50 - $20.25/hr

Overview We are seeking hands-on Engineering Interns to support shop operations work focused on ... Accelleron Data Privacy Statement:accelleron.com/privacy-notice/candidate Job Family Group:

Engineering Internship

Miramar, FL · On-site

$15.50 - $20.25/hr

Overview We are seeking hands-on Engineering Interns to support shop operations work focused on ... Accelleron Data Privacy Statement: accelleron.com/privacy-notice/candidate Job Family Group:

Sr. Product Manager, Amazon Fuse and MBD

Miami, FL · On-site

$121K - $159K/yr

... engineering to build and ship, measure outcomes against success metrics, operate and iterate post ... In any given week, you might be analyzing funnel data to identify drop-off points, brainstorming ...

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

You will work cross-functionally with product, engineering, marketing, and business leaders to ... Hands-on experience with Amazon Redshift for data warehousing, high-performance querying, and large ...

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Data Engineer Internship Amazon information

See Hialeah, FL salary details

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How much do data engineer internship amazon jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data engineer internship amazon in Hialeah, FL is $23.02, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $26.11 per hour, depending on experience, location, and employer.

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 job categories do people searching Data Engineer Internship Amazon jobs in Hialeah, FL look for?

The top searched job categories for Data Engineer Internship Amazon jobs in Hialeah, FL are:

What cities near Hialeah, FL are hiring for Data Engineer Internship Amazon jobs?

Cities near Hialeah, FL with the most Data Engineer Internship Amazon job openings:

AWS Glue / Snowflake Data Engineers

Expert Technology Services

Doral, FL • On-site

$105K - $127K/yr

Contractor

Posted 7 days ago


Job description

Job Summary (List Format) – Senior Data Engineer (AWS Glue and Snowflake Specialist):
- Lead the integration of AWS cloud-native infrastructure with Snowflake data warehouse.
- Design, build, and maintain robust, scalable ETL/ELT data pipelines.
- Develop high-performance data processing layers to support business intelligence and advanced analytics.
- Optimize and tune data solutions for performance and scalability.
- Implement and manage data pipelines using AWS Glue, Snowflake, and other cloud data platforms.
- Collaborate with stakeholders to support data-driven decision-making across the organization.
- Utilize advanced SQL for data modeling, querying, and optimization.
- Work with PostgreSQL, Amazon DocumentDB, and related technologies.
- Ensure best practices in ETL/ELT development and cloud-native solution implementation.
- Apply Agile methodologies to deliver high-quality data solutions.