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Data Engineer Internship Amazon Jobs in Oregon (NOW HIRING)

Senior Data Engineer

$117K - $146K/yr

Designs and implements scalable data-ingestion pipelines using AWS services (e.g., S3, Lambda, API Gateway, Glue, Step Functions, Amazon Bedrock, Amazon Agent Core) and Azure DevOps * Builds APIs and ...

... 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 ...

... 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 ...

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this ...

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

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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 job categories do people searching Data Engineer Internship Amazon jobs in Oregon look for? The top searched job categories for Data Engineer Internship Amazon jobs in Oregon are:
What cities in Oregon are hiring for Data Engineer Internship Amazon jobs? Cities in Oregon with the most Data Engineer Internship Amazon job openings:

$120K - $145K/yr

Contractor

Re-posted 28 days ago


Job description


Job Description
• Engineer data solutions in support of Sustainability reporting and analytics initiatives.
• Engage with product owner, analysts, visualization developers, and business partners to understand capability requirements, and to develop and support data solutions based on product backlog priorities.
Responsibilities
General Purpose Python Programming:
• Python has been your primary coding language (daily use) for at least 3 years.
• You have authored distributable Python packages (packages which can be built, installed, and distributed using setuptools, pip, and twine)
• You have a solid understanding of how pip dependency resolution works.
• You are proficient in authoring and automating unit and integration tests for python packages using (minimally) unittests, pytest, and tox.
• You are meticulous about code quality, including readability, know your PEP8 guidelines inside and out, and are capable of authoring code which will pass validation by commonly used static analysis tools including mypy and flake8.
Database Design and SQL
• You are proficient in authoring readable, well-structured, SQL SELECT statements using ISO/ANSI-standard SQL.
• You have hands-on professional experience in data warehouse design and modeling, including authoring DDL statements.
Version Control and CI/CD
• You have experience with trunk-based development (feature branching) using git for version control, with fully automated deployments (CI/CD).
Required Skillsets
General Purpose Python Programming:
• You have a deep understanding of python's standard library and python internals. You understand python memory management, how CPython implements built-in data structures, and which data structures are best suited for different scenarios.
• You understand and can compare/contrast CPython's built-in concurrency models, when to use each, and what obstacles might prevent the use of each mechanism.
Database Design, SQL, and Object Relational Models:
• You are adept at performance-tuning SQL queries for both OLAP and OLTP databases.
• You understand and are prepared to discuss how and when/where to utilize more esoteric and/or modern SQL features such as window functions and common table expressions.
• You understand and are prepared to discuss the performance implications of columnar vs relational databases.
• You have firsthand experience in managing database schema migrations (ideally using SQLAlchemy's ORM + Alembic).
Version Control and CI/CD
• You have experience with trunk-based development (feature branching) using git for version control, with fully automated deployments (CI/CD).
Cloud Infrastructure and Amazon Web Services
• You have firsthand experience using boto3 to interact with Amazon Web Services' resource APIs, particularly Amazon S3 (Simple Storage Service).
• You have hands-on experience authoring unit and integration tests utilizing localstack to emulate AWS resources.
• You have firsthand experience using HashiCorp Terraform to manage cloud infrastructure.
• You have firsthand experience developing serverless ASGI applications using AWS lambda and AWS API Gateway.
Web API Server and Client Development:
• You have experience planning and executing the design and development of web APIs using a modern python ASGI framework (preferably FastAPI).
• You have authored, validated, and maintained OpenAPI documents describing your web APIs accurately.
You have experience developing and testing python web API client libraries based on an OpenAPI document.
Distributed Computing and Apache Spark
• You have experience using Apache Spark for ingestion and manipulation of data sets which are too large to process efficiently in-memory.
• You have firsthand experience translating algorithms and procedures designed by topical subject matter experts, having varying levels of engineering experience, into well-designed data pipelines.
• You have experience configuring and tuning Spark clusters to optimize use of computing resources for varying workloads.
• You understand and can discuss when and why to use distributed computing frameworks, such as Apache Spark, versus alternate concurrency models such as asyncio or multiprocessing.
Database Design, SQL, and Object Relational Models.
• You have experience modeling databases using SQLAlchemy's ORM framework.
Required Soft Skills
• You are proficient in communicating effectively and efficiently within a hybrid remote/in-person team structure:
• You are meticulous about managing your calendar to accurately reflect your free/busy hours.
• You respect and seek to learn digital communications etiquette-including region-specific, industry-specific, and organization-specific etiquette.
• You proactively initiate constructive discussions while curating and targeting your communications with respect for your colleagues' time and schedules.
• You are adept at discovering and navigating the complex bureaucratic resources of a large organization.
Top 3 Skills
• Python
• SQL
• Spark