Intern – Data Engineering jobs in United States
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American Medical Association · 9 hours ago

Intern – Data Engineering

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. As an Intern – Data Engineering, you will help enhance and maintain the AMA’s data and AI pipeline infrastructure, supporting the intake, processing, and management of critical healthcare data assets.

EducationHealth CareNon Profit
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H1B Sponsor Likelynote

Responsibilities

Assist in the design, development, and deployment of robust data and AI pipelines, enabling seamless data ingestion, transformation, and loading from a variety of sources (relational databases, APIs, streaming data, unstructured data, etc.)
Support the modernization of the AMA’s data infrastructure, contributing to the migration and integration efforts for new platforms and the implementation of innovative data engineering solutions
Facilitate the automation of data workflows and reporting, creating repeatable processes to reduce manual intervention and improve efficiency
Work with technology teams to ensure high standards of data quality, integrity, and security across all pipeline stages; assist with developing scalable solutions for monitoring and error detection
Participate in the implementation and optimization of master data management strategies, including activities related to metadata management, data cleansing, and entity resolution across multiple data sources
Collaborate with stakeholders to gather requirements, develop technical documentation, and contribute to proof-of-concept projects integrating new data sets and technologies
Aid in the setup, orchestration, and scheduling of data pipelines using Databricks and our custom DAG execution components in AWS
Contribute to the development and testing of AI and machine learning pipelines to enable advanced search, analytics, and NLP applications
May include other responsibilities as assigned

Qualification

Data EngineeringPythonSQLAWSETL conceptsData QualityJavaScalaAirflowJenkinsDocumentation skillsAttention to detail

Required

Be working towards a BS or MS degree in Computer Science, Software Engineering, Data Engineering, Data Science, Information Systems, or a related field
Basic experience with programming languages such as Python, Java, or Scala for data processing and automation
Familiarity with SQL for querying and manipulating datasets; exposure to ETL concepts, data warehouse, and data mart architectures a plus
Understanding of data ingestion, transformation, standardization, metadata management, and data enhancement, ideally working with formats such as XML, JSON, streaming data, and REST APIs
Exposure to orchestration and scheduling tools like Airflow, Jenkins, or similar workflow automation
Interest in cloud platforms (especially AWS) and big data technologies (especially Spark); hands-on coursework or projects is a plus
Comfort working with structured and unstructured data, and a willingness to solve data quality or integration challenges
Knowledge or interest in master data management, entity resolution, and developing scalable, high-quality data pipelines
Strong documentation skills and attention to detail, with a passion for lifecycle process improvement

Benefits

Participate in an incentive plan

Company

American Medical Association

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American Medical Association promotes the art and science of medicine and the betterment of public health.

H1B Sponsorship

American Medical Association has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (2)
2023 (5)
2022 (2)
2021 (2)
2020 (3)

Funding

Current Stage
Late Stage

Leadership Team

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John Whyte
Chief Executive Officer
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Christopher Khoury
Vice President, Strategic Insights
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Company data provided by crunchbase