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Data Engineer Internship Amazon Jobs in Florida (NOW HIRING)

Brooksource

Amazon Connect Routing Engineer

Lake Mary, FL · On-site

$70 - $80/hr

Partner with Product, Operations, Workforce Management, Architecture, Data & Reporting, and Engineering teams * Translate business routing needs into scalable Amazon Connect technical solutions

New

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next ... This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ...

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next ... This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ...

Amazon

Sr. Product Manager, Amazon Fuse and MBD

Miami, FL

$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 ...

Amazon

Sr. Product Manager, Amazon Fuse and MBD

Miami, FL

$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 ...

Amazon

Machinist Technician, Amazon Leo

Merritt Island, FL · On-site

$23 - $31.25/hr

... strong data collection background in industrial equipment installation, troubleshooting, and ... Work closely with engineers to provide design feedback, assist with project execution, and support ...

Amazon

Machinist Technician, Amazon Leo

Merritt Island, FL · On-site

$23 - $31.25/hr

... strong data collection background in industrial equipment installation, troubleshooting, and ... Work closely with engineers to provide design feedback, assist with project execution, and support ...

Amazon

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 ...

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All JobsData Engineer Amazon JobsData Engineer Internship Amazon JobsData Engineer Internship Amazon Jobs in Florida

Data Engineer Internship Amazon information

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

As of Aug 17, 2026, the average hourly pay for data engineer internship amazon in Florida is $18.99, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $21.54 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 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 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 are popular job titles related to Data Engineer Internship Amazon jobs in Florida?

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Cities in Florida with the most Data Engineer Internship Amazon job openings:

Data Engineer Internship Amazon jobs near you

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Re-posted 15 days ago

Job description

Role Descriptions: Python| Pyspark| AWS Lambda| S3|AWS glue| Kinesis|SQL| Apache Flink| Confluent Kafka| Java is optional
Essential Skills: Python| Pyspark| AWS Lambda| S3|AWS glue| Kinesis|SQL| Apache Flink| Confluent Kafka| Java is optional
Desirable Skills:
Keyword:
Skills: Digital : Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Kafka~Advanced Java Concepts~Digital : PySpark
Experience Required: 10 & Above
3. Title: Data Engineer
4. Rate: /hr
5. Location: Malvern, PA
6. Job Description:
Technical skill sets :
Python, Pyspark, AWS Lambda, S3,AWS glue, Kinesis,SQL, Apache Flink, Confluent Kafka, AI-LLM, Gen-AI , Java is optional
Responsibilities :
1. Advanced Architecture & System Design
A Tech Lead is primarily responsible for the overall platform vision and ensuring systems do not break under scale.
• Distributed Computing: Mastery of frameworks like Apache Spark or Ray for massive-scale parallel data processing.
• Streaming & Event-Driven Architecture: Deep understanding of real-time pipeline design using Kafka, Kinesis, or Flink.
• Cloud Infrastructure: Expertise in at least one major public cloud (AWS), specifically understanding storage/compute decoupling and cost optimization.
2. Core Programming & Database Management
Leads set coding standards and review code, requiring complete fluency in the fundamentals.
• SQL: Advanced mastery for metrics computation, window functions, and query performance tuning across relational and columnar databases (e.g., Snowflake, Redshift, BigQuery).
• Scripting Languages: High proficiency in Python or Scala for writing reusable pipeline code and interacting with APIs.
• Data Storage: Deep familiarity with both columnar/analytical stores and NoSQL databases (e.g., DynamoDb, Cassandra).
3. Pipeline Orchestration & DevOps
Ensuring pipelines run smoothly, idempotently, and securely in production.
• Workflow Orchestration: Ability to architect Directed Acyclic Graphs (DAGs) in tools like Apache Airflow or Prefect.
• CI/CD & Infrastructure as Code (IaC): Applying software engineering principles to data by using Docker, Kubernetes, and Terraform.
• Data Governance & Security: Implementing Role-Based Access Control (RBAC), data masking, and compliance frameworks.
4. Leadership & Soft Skills
Tech leads also mentor junior engineers, estimate project timelines, and translate ambiguous business needs into concrete technical specifications.
• Mentorship & Code Review: Fostering a collaborative development environment and enforcing style guidelines.
• System Observability: Building logging, monitoring, and alerting mechanisms so the team knows exactly when and why pipelines fail.

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