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Data Engineer Internship Amazon Jobs (NOW HIRING)

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Amazon Redshift, or BigQuery. * Big Data Processing : Leverage frameworks like Apache Spark ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a Data Engineer to design, build, and maintain data infrastructure, ensuring ... Amazon Redshift, or BigQuery. • Leverage frameworks like Apache Spark, Databricks, or Apache ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Amazon Redshift, or BigQuery. • Leverage frameworks like Apache Spark, Databricks, or Apache ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX

$113K - $136K/yr

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX

$113K - $136K/yr

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113K - $136K/yr

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data ...

Amazon

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new ... They know and love working with data engineering tools, can model multidimensional datasets, and ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a ...

Amazon

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new ... They know and love working with data engineering tools, can model multidimensional datasets, and ...

Accenture Federal Services

Data Engineer

Suitland, MD

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA

$130K - $156K/yr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a ...

Seven Seven Software

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

... data applications on AWS for large enterprises * Programming experience with Python, Shell ... Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)

Onebridge

Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and ... Experience working with enterprise data platforms such as Teradata, Amazon Redshift, and Amazon ...

Onebridge

Data Engineer

Lawrence Township, NJ

$127K - $152K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and ... Experience working with enterprise data platforms such as Teradata, Amazon Redshift, and Amazon ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS ... Create and optimize data lakes on Amazon S3 and integrate with Athena and Redshift * Automate data ...

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All JobsData Engineer Internship Amazon Jobs

Data Engineer Internship Amazon information

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

As of Jun 22, 2026, the average hourly pay for data engineer internship amazon in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 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.
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What cities are hiring for Data Engineer Internship Amazon jobs? Cities with the most Data Engineer Internship Amazon job openings:
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Data Engineer Internship Amazon jobs near you
Infographic showing various Data Engineer Internship Amazon job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Data Engineer

Data Engineer

Accenture Federal Services

Suitland, MD • On-site

$123K - $148K/yr

Other

Posted 12 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 428 rated business services

Job description

ob Description: Data Engineer

We are looking for a skilled and passionate Data Engineer to join our team. You will play a critical role in designing, building, and maintaining our data infrastructure to ensure seamless data flow, scalability, and reliability. You will work closely with data scientists, analysts, and other stakeholders to develop efficient data pipelines, manage large datasets, and integrate machine learning models into production environments.

Key Responsibilities:
  • Programming Fundamentals: Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python.
  • Data Pipeline Development: Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster.
  • Cloud Platform Familiarity: Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued.
  • Database & Querying Skills: Extract, integrate, and ensure the quality of data from various sources using tools and technologies such as SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery.
  • Big Data Processing: Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with reliability and efficiency.
  • ML Integration / MLOps: Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow.
  • Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations.
  • Collaboration & Documentation: Work closely with data scientists, analysts, and other stakeholders to understand data requirements, communicate solutions, and document processes using tools like Git, Jira, and Confluence.
Qualifications:
  • 2 years of experience as a Data Engineer or similar role.
  • Strong proficiency in Python or other programming languages relevant to data engineering.
  • Any additional experience with any of the following:
    • Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect, Dagster).
    • Solid understanding of cloud platforms (AWS strongly preferred; GCP or Azure experience also considered).
    • Expertise in SQL and familiarity with relational and columnar databases (e.g., PostgreSQL, Snowflake, BigQuery).
    • Knowledge of big data processing frameworks (e.g., Apache Spark, Databricks, or Apache Kafka).
    • Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon SageMaker, MLflow, or Kubeflow) in production environments.
    • Strong troubleshooting skills and experience monitoring data pipelines and system health using tools like Amazon CloudWatch, Datadog, or Great Expectations.
    • Excellent communication skills and a collaborative mindset, with a focus on documentation and best practices.
Preferred Skills:
  • Experience working with large-scale distributed systems.
  • Knowledge of data governance and security best practices.
  • Proven ability to work in cross-functional teams and contribute to problem-solving and innovation.
Clearance:
  • An active TS/SCI federal security clearance is required


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