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Data Engineer Internship Amazon Jobs in Ohio (NOW HIRING)

Data Engineer

Columbus, OH · On-site

$107K - $128K/yr

Job Title: Data Engineer Experience: 11 to 13 Years Job Summary: Seeking a highly skilled Data ... with Amazon SNS for efficient notification and communication workflows. 7. Work with other AWS ...

Data Engineer

Columbus, OH · On-site

$65/hr

Data Engineer Experience: 6 to 8 Yrs. Job Summary: Seeking a highly skilled Data Engineer with 6-8 ... with Amazon SNS for efficient notification and communication workflows. 7. Work with other AWS ...

OH · On-site

$110K - $132K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Databricks Data Engineer

Cincinnati, OH

$109K - $131K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Databricks Data Engineer

Cleveland, OH

$111K - $133K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

... 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 ...

... 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 ...

Data Engineer - Cloud/AI

Westerville, OH

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud ...

... 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 ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud ...

... of experience (internship or project experience acceptable) * Strong understanding of Data ... Programming Languages * Python Preferred Qualifications * Knowledge of distributed systems

... 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 ...

... 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 ...

... 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 ...

Sr Databricks Data Engineer

Cincinnati, OH

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Sr Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Sr Databricks Data Engineer

Cleveland, OH

$111K - $133K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Academic coursework, internship experience, training, certification, or hands-on project work ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

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Data Engineer Internship Amazon information

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 cities in Ohio are hiring for Data Engineer Internship Amazon jobs? Cities in Ohio with the most Data Engineer Internship Amazon job openings:
Data Engineer

$107K - $128K/yr

Other

Posted 24 days ago


Job description

Job Title: Data Engineer
Experience: 11 to 13 Years
Job Summary: Seeking a highly skilled Data Engineer with 6-8 years of experience in PySpark and AWS.
Roles & Responsibilities:
1. Collaborate with cross-functional teams to understand data requirements and establish seamless connections with external vendors.
2. Develop and implement robust data acquisition strategies, ensuring data quality, integrity, and security.
3. Lead the design and implementation of data cleansing and transformation process to align vendor data with internal standards and structures.
4. Utilize internal tools and SDKs for efficient data integration and processing, focusing on scalability and performance optimization.
5. Implement and manage agents for monitoring, logging, and automation within AWS environments.
6. Work with Amazon SNS for efficient notification and communication workflows.
7. Work with other AWS services, including S3, Athena, and Glue, to optimize data storage, querying, and processing.
8. Lead the integration efforts with the internal Archival Service Platform for seamless data purging and lifecycle management.
9. Collaborate with the data engineering team to continuously improve data integration pipelines, ensuring adaptability to evolving business needs.