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Data Engineer Internship Amazon Jobs in Raleigh, NC

Data Engineer ETL

Durham, NC · On-site

$110K - $132K/yr

Develop, test, deploy, and support ETL batch jobs using Apache Spark and Amazon EMR. Build and ... Develop cloud-native data engineering solutions using AWS services. Collaborate with cross ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Performs database administration services for Cloud database platforms -- Amazon Web Services (AWS ... Principal Data Engineer (or closely related occupation) performing application database ...

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

... Amazon Q) to improve engineering efficiency, code quality, documentation, testing, and delivery ... Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Performs database administration services for Cloud database platforms -- Amazon Web Services (AWS ... Principal Data Engineer (or closely related occupation) performing application database ...

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

... Amazon Q) to improve engineering efficiency, code quality, documentation, testing, and delivery ... Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Buildsautomated pipelines to deploy to various environments and services using Amazon Web Services ... experience as a Principal Data Engineer (or closely related occupation) designing and ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Builds automated pipelines to deploy to various environments and services using Amazon Web Services ... data stores and file-based interfaces. * Confers with systems analysts and other software engineers ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops new web based applications within cloud environments - Snowflake and Amazon Web Services ... Data mart concepts. * Confers with systems analysts and other software engineers/developers to ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops new web based applications within cloud environments - Snowflake and Amazon Web Services ... Data mart concepts. * Confers with systems analysts and other software engineers/developers to ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Data Engineer and Modeler

Durham, NC · On-site

$110K - $132K/yr

Data Engineer and Modeler Category: Software Development/ Engineering Main location: United States ... Amazon Relational Database Svc * Data Analysis * Data Migration * Data Modeling * Data Pipelines ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ... solutions, Amazon Redshift, Oracle, Snowflake, and ETL processes; performing data cleansing ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ... solutions, Amazon Redshift, Oracle, Snowflake, and ETL processes; performing data cleansing ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Principal Data Engineer

Raleigh, NC · On-site +1

$137K - $203K/yr

Develop data sets across data lakes like Amazon Web Services (AWS), Red Shift, Starburst, Snowflake ... S. or foreign equivalent) in Computer Engineering, Computer Science or related field and five (5) ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

* Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

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Data Engineer Internship Amazon information

See Raleigh, NC salary details

$13

$24

$37

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

As of Jul 14, 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 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, and why are they important?

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 Raleigh, NC? For Data Engineer Internship Amazon jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Engineer Internship Amazon jobs in Raleigh, NC look for? 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:
Infographic showing various Data Engineer Internship Amazon job openings in Raleigh, NC as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $51,391 per year, or $24.7 per hour.
Data Engineer ETL

Data Engineer ETL

Compunnel

Durham, NC • On-site

$110K - $132K/yr

Contractor

Posted 15 days ago


Job description

Job Summary
We are seeking a highly motivated Data Engineer (ETL) to design, develop, and maintain scalable data engineering solutions supporting enterprise data aggregation and integration initiatives. This role focuses on building high-performance ETL pipelines, developing Apache Spark applications, processing large-scale datasets, and leveraging cloud-native technologies to deliver reliable and efficient data solutions. The ideal candidate will have strong expertise in Spark, Scala, Java, cloud platforms, and big data technologies while collaborating with cross-functional teams in an Agile environment.
Key Responsibilities
Design, develop, and maintain scalable ETL pipelines for enterprise data integration and movement.
Develop, test, deploy, and support ETL batch jobs using Apache Spark and Amazon EMR.
Build and maintain Spark services for large-scale data processing.
Schedule, monitor, troubleshoot, and optimize Spark batch processing jobs.
Develop Java clients for consuming REST and SOAP APIs.
Develop and maintain Scala-based Spark batch applications.
Process and transform large datasets using Apache Spark.
Store and manage processed data in NoSQL databases such as Cassandra or Yugabyte.
Design and implement cloud-based data warehouse and data lake solutions using Snowflake.
Work with large-scale data storage formats including Parquet and HDF5.
Develop cloud-native data engineering solutions using AWS services.
Collaborate with cross-functional teams to design innovative data solutions that address business requirements.
Participate in code reviews, pair programming, and technical discussions to ensure code quality and best practices.
Support the full Software Development Life Cycle (SDLC), including analysis, design, development, testing, deployment, and maintenance.
Troubleshoot production issues and optimize data processing performance.
Identify opportunities for innovation and continuous improvement in data engineering practices.
Collaborate across multiple Agile teams to deliver scalable and reliable data solutions.
Apply a customer-first mindset when designing and delivering enterprise data solutions.
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field.
Proven experience in Data Engineering.
10+ years of experience developing Spark services for large-scale data movement.
Experience scheduling, monitoring, debugging, and optimizing ETL Spark batch processes.
Hands-on experience developing Java clients for REST and SOAP API integrations.
Experience developing Scala Spark batch applications.
Experience developing, deploying, and maintaining Apache Spark and Amazon EMR ETL jobs.
Experience processing big data using Apache Spark.
Experience with NoSQL databases such as Cassandra or Yugabyte.
Experience with cloud-based data warehouse and data lake platforms such as Snowflake.
Experience managing large datasets using storage formats such as Parquet and HDF5.
Experience developing cloud-native solutions using AWS services.
Strong understanding of software development lifecycle (SDLC) methodologies.
Strong analytical, troubleshooting, and problem-solving skills.
Experience working in Agile software development environments.
Excellent collaboration and communication skills.
Preferred Qualifications
Experience designing enterprise-scale data integration and aggregation solutions.
Experience supporting external-facing data platforms and APIs.
Experience working with financial services or FinTech data platforms.
Passion for continuous learning and adopting modern data engineering best practices.

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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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