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Internship Amazon Data Services Jobs in Tennessee

Data Engineer III

Memphis, TN · On-site

$100 - $130/hr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Data Engineer III

Memphis, TN

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Data Engineer III

Memphis, TN

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Sr. Process Engineer, Amazon Air

Nashville, TN · On-site

$100K - $129K/yr

In Amazon Air, process driven techniques helps us deliver smiles to both our internal and external ... cost data - Assist in reviewing proposals for new equipment and services - Pull, analyze, and ...

Sr. Process Engineer, Amazon Air

Nashville, TN · On-site

$100K - $129K/yr

In Amazon Air, process driven techniques helps us deliver smiles to both our internal and external ... cost data - Assist in reviewing proposals for new equipment and services - Pull, analyze, and ...

Sr. Process Engineer, Amazon Air

Nashville, TN · On-site

$100K - $129K/yr

In Amazon Air, process driven techniques helps us deliver smiles to both our internal and external ... and services - Pull, analyze, and report data from numerous databases (using Excel, Access, SQL ...

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Internship Amazon Data Services information

What is an internship Amazon Data Services position?

Internship positions at Amazon Data Services offer students and recent graduates hands-on experience working with the cloud infrastructure that powers Amazon Web Services (AWS). Interns typically work on real-world projects related to data management, cloud computing, and infrastructure optimization. These internships provide valuable exposure to cutting-edge technology and an opportunity to learn from experienced professionals in the tech industry. Applicants should have a strong interest in technology, relevant coursework, and a willingness to learn in a fast-paced environment.

What are some typical projects or tasks an intern might work on at Amazon Data Services?

As an intern at Amazon Data Services, you can expect to work on impactful projects that support the company's cloud infrastructure, data management, or operational efficiency. Common tasks may include assisting in data analysis, automating processes using scripting languages, supporting cloud migration initiatives, or contributing to the monitoring and optimization of data center operations. Interns often collaborate with experienced engineers and analysts, gaining exposure to large-scale systems and best practices in the cloud industry. This hands-on experience can provide a strong foundation for a future career in technology and cloud computing.

What are the key skills and qualifications needed to thrive as an intern at Amazon Data Services, and why are they important?

To thrive as an intern at Amazon Data Services, you need a solid background in computer science fundamentals, data analysis, and problem-solving, typically supported by enrollment in a relevant degree program. Familiarity with programming languages (such as Python or Java), cloud platforms like AWS, and data management tools is highly beneficial. Strong communication, teamwork, and adaptability are crucial soft skills that help interns integrate and contribute effectively to dynamic projects. These skills and qualities are essential for successfully navigating complex technical tasks and collaborating in Amazon's fast-paced, innovative environment.

What is the difference between Internship Amazon Data Services vs Data Analyst Intern?

AspectInternship Amazon Data ServicesData Analyst Intern
Required CredentialsRelevant coursework, basic data skillsRelevant coursework, some programming knowledge
Work EnvironmentTech company, cloud data infrastructureBusiness or tech environment, data analysis tasks
Employer & IndustryAmazon, cloud and e-commerce industryVarious industries, business analytics

Internship Amazon Data Services focuses on cloud data infrastructure and technical skills within Amazon's environment, while Data Analyst Internships emphasize data analysis and business insights across industries. Both roles require foundational data knowledge but differ in technical depth and industry focus.

What are popular job titles related to Internship Amazon Data Services jobs in Tennessee?

For Internship Amazon Data Services jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Internship Amazon Data Services jobs in Tennessee look for?

The top searched job categories for Internship Amazon Data Services jobs in Tennessee are:

What cities in Tennessee are hiring for Internship Amazon Data Services jobs?

Cities in Tennessee with the most Internship Amazon Data Services job openings:

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Stifel rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

What You'll Be Doing

The Data Engineer III is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption, and implementing data security and privacy measures. This role is crucial in enabling efficient and effective data‑driven decision‑making.

What We're Looking For
  • Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in the AWS cloud environment.
  • Work closely with stakeholders to understand their data requirements and design data solutions that meet their needs.
  • Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination.
  • Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity.
What You'll Bring
  • Proficient in programming languages such as Python and SQL for database querying and manipulation.
  • Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR.
  • Knowledge of database design principles and experience with database management systems.
  • Experience with data storage technologies, such as relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark).
  • Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is essential.
  • Skilled at integrating disparate data sources and ensuring data quality and consistency.
  • Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions, and notification services.
  • Familiarity with IAC, such as Terraform, git, and DevOps pipelines.
  • Strong analytical thinking and problem‑solving abilities are essential to effectively identify and resolve data‑related issues.
  • Ability to analyze complex data sets, identify patterns, and derive actionable insights.
  • Awareness of data governance practices, data privacy regulations, and security protocols is crucial.
  • Experience implementing data security measures and ensuring compliance with relevant standards is desirable.
Education & Experience
  • Minimum Required: Bachelor's Degree in Computer Science, related field, or equivalent experience.
  • Minimum Required: 7+ years of post‑bachelor progressive experience in data engineering.
Licenses & Credentials
  • Minimum Required: None.
Systems & Technology
  • Proficient in the following computer languages:
    • Python
    • SQL
  • AWS technologies to include:
    • Glue
    • S3
    • Redshift
    • Lambda
    • Lake Formation
    • DataZone

At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401(k), wellness initiatives, life insurance, and paid time off.

Stifel is an Equal Opportunity Employer.

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