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

As of Sep 3, 2026, the average hourly pay for data engineer internship amazon in Raleigh, NC is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $28.03 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 are popular job titles related to Data Engineer Internship Amazon jobs in Raleigh, NC?

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

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The top searched job categories for Data Engineer Internship Amazon jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Engineer Internship Amazon jobs?

Cities near Raleigh, NC with the most Data Engineer Internship Amazon job openings:

Data Engineer Internship Amazon jobs near you
Infographic showing various Data Engineer Internship Amazon job openings in Raleigh, NC as of August 2026, with employment types broken down into 5% Internship, 64% Full Time, 17% Part Time, and 14% Contract. Highlights an 77% In-person, 11% Hybrid, and 12% Remote job distribution, with an average salary of $51,391 per year, or $24.7 per hour.

Principal Software Engineer/Developer

Fidelity Investments

Durham, NC

Full-time

Re-posted 7 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 273 frontline employees who took The Breakroom Quiz

16th of 152 rated financial services

Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Position Description:

Designs, develops, and sustains high-impact enterprise applications that enhance overall customer experience and support strategic business outcomes. Provides architectural direction and delivers advanced data engineering solutions using modern cloud technologies to enable scalable, efficient, and reliable data processing. Partners closely with cross-functional business units to align technical solutions with organizational priorities while driving engineering best practices and ensuring delivery of robust, customer-centric systems.

Primary Responsibilities:

  • Participates in architecture design teams.

  • Defines and implements application-level architecture.

  • Develops applications on complex projects, components, and subsystems for the division.

  • Recommends development testing tools and methodologies and reviews and validates test plans.

  • Responsible for QA readiness of software deliverables.

  • Develops comprehensive documentation for multiple applications or subsystems.

  • Establishes full project life cycle plans for complex projects across multiple platforms.

  • Responsible for meeting project goals on-time and on-budget.

  • Advises on risk assessment and risk management strategies for projects.

  • Plans and coordinates complex project schedules and assignments for multiple projects.

  • Acts as a primary liaison for business units to resolve various project/technology issues.

  • Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.

  • Advises senior management on technical strategy.

  • Mentors junior team members.

  • Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives.

  • Develops original and creative technical solutions to on-going development efforts.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) performing real time analytics and recommendation application development using Amazon Web Services (AWS).

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Software Engineer/Developer (or closely related occupation) performing real time analytics and recommendation application development using Amazon Web Services (AWS).

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") performing Object Oriented Programming (Java, Scala, and Python) within Python's ecosystem, including using NumPy, Panda, sklearn and Amazon Web Services (AWS) to build the infrastructure and pipelines to deploy the recommendation models.

  • DE performing full stack development using Java, Spring, RESTful services, relational and NoSQL databases (DynamoDB, Postgres, and Graph database) with Cloud technologies AWS or Azure.

  • DE architecting and developing personalized recommendation applications using data movement technologies (ETL and ELT), messaging and streaming technologies (AWS SQS, Kinesis, and Kafka), and building data pipelines using Apache Flink, Snowflake, and AWS Glue.

  • DE automating the development processes using Continuous Integration/Continuous Deployment (CI/CD) tools Deployment Pipeline (Jenkins), version control (GitHub), code quality (SonarQube), orchestration and app hosting services (ECS or EKS).

#PE1M2

#LI-DNI

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Information Technology

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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