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Data Engineer Internship Amazon Jobs (NOW HIRING)

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123.40K - $148.20K/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 ...

The Select Group

Data Engineer

Exton, PA · On-site

$110.50K - $132.70K/yr

This engineer will develop and maintain ingestion pipelines for BMS, SCADA, HVAC controllers ... Amazon Timestream, InfluxDB, TimescaleDB, or Historian systems * AWS data lake experience: S3 ...

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$130.30K - $156.50K/yr

... Amazon customers. Partner Experience Business Intelligence (PXBI) fulfills the data needs for the ... As a Data Engineer on the team, you will work with very large datasets in one of the world ...

Amazon

Data Engineer

San Francisco, CA

$134.90K - $162K/yr

About the Role As a data engineer in the Data Platform organization, you will be transforming ... Amazon Employee Discount

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX

$113.50K - $136.30K/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 ...

New

Amazon

Data Engineer

San Francisco, CA

$134.90K - $162K/yr

About the Role As a data engineer in the Data Platform organization, you will be transforming ... Amazon Employee Discount

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX

$113.50K - $136.30K/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 ...

New

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113.50K - $136.30K/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

$130.30K - $156.50K/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, SPTC

Seattle, WA · On-site

$130.30K - $156.50K/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

$123.30K - $148.10K/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

$123.30K - $148.10K/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

$130.30K - $156.50K/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 III - AMZ9871476

Miami, FL · On-site

$165.78K - $209.10K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Engineer III Job Location: Miami, Florida Job Number: AMZ9871476 Position Responsibilities: Design, develop, implement, test, document, and operate ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA

$130.30K - $156.50K/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

$130.30K - $156.50K/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

$119.70K - $143.80K/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)

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 ...

Onebridge

Data Engineer

Lawrence Township, NJ · On-site

$127.30K - $152.90K/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 ...

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

As of May 29, 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 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 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 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 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.

More about Data Engineer Internship Amazon jobs
What cities are hiring for Data Engineer Internship Amazon jobs? Cities with the most Data Engineer Internship Amazon job openings:
What states have the most Data Engineer Internship Amazon jobs? States with the most job openings for Data Engineer Internship Amazon jobs include:
What job categories do people searching Data Engineer Internship Amazon jobs look for? The top searched job categories for Data Engineer Internship Amazon jobs are:
Data Engineer Internship Amazon jobs near you
Infographic showing various Data Engineer Internship Amazon job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 13% Physical, 7% Hybrid, and 80% 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

$123.40K - $148.20K/yr

Full-time

Posted 18 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

47th of 424 rated business services

Job description

Job Summary:
Accenture Federal Services is a technology company dedicated to helping the US federal government enhance national security and improve lives. They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure, ensuring seamless data flow and collaboration with data scientists and analysts.
Responsibilities:
• Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python.
• Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster.
• Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued.
• Extract, integrate, and ensure the quality of data from various sources using tools and technologies such as SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery.
• Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with reliability and efficiency.
• Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow.
• Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations.
• 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:
Required:
• 2 years of experience as a Data Engineer or similar role.
• Strong proficiency in Python or other programming languages relevant to data engineering.
• 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.
• An active TS/SCI federal security clearance is required
Preferred:
• 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.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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