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Sql Python Intern Jobs in Santa Clara, CA (NOW HIRING)

IBM

Software Developer Intern 2027

San Jose, CA · On-site

$22 - $29/hr

As an intern, you will work alongside experienced IBM developers to design, build, and test ... Exposure to front-end or back-end technologies (React, Node.js, Python, Java, SQL, etc.

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Sql Python Intern information

What is an SQL Python intern?

SQL Python Interns are entry-level professionals or students who assist with database management and data analysis tasks using SQL (Structured Query Language) and Python programming. They typically work under the supervision of experienced data engineers or analysts to help retrieve, process, and analyze data. Their responsibilities may include writing SQL queries, cleaning datasets, automating data workflows with Python, and generating reports. This internship provides hands-on experience in data manipulation, programming, and problem-solving, which are valuable skills for careers in data science and analytics.

What kinds of projects and tasks can an SQL Python intern expect to work on during their internship?

As a SQL Python Intern, you can expect to work on tasks such as data cleaning, database querying, and developing scripts to automate data processing. Interns often assist in building and maintaining data pipelines, generating reports, and supporting data analysis for ongoing projects. You'll typically collaborate with data analysts, engineers, and sometimes business stakeholders to ensure data integrity and provide insights that drive decision-making. This role provides hands-on experience with real datasets and gives you the opportunity to learn best practices in both SQL and Python within a collaborative, supportive team environment.

What are the key skills and qualifications needed to thrive as an SQL Python intern, and why are they important?

To thrive as an SQL Python Intern, you need a solid understanding of relational databases, SQL queries, and foundational programming skills in Python, often supported by coursework or certifications in computer science or related fields. Familiarity with tools like MySQL, PostgreSQL, Jupyter Notebooks, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication help interns excel in collaborative, data-driven environments. These skills are crucial for efficiently extracting insights from data, contributing to team projects, and supporting business decision-making processes.

What is the difference between Sql Python Intern vs Data Analyst Intern?

AspectSql Python InternData Analyst Intern
Required SkillsBasic SQL, Python scripting, data manipulationSQL, Python, data visualization, statistical analysis
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, marketing departments
Common UsageSupporting data projects, database managementInterpreting data, creating reports, insights

The Sql Python Intern role focuses on supporting data projects through basic SQL and Python scripting, often within tech environments. In contrast, Data Analyst Interns typically perform data interpretation, visualization, and reporting tasks. While both roles require SQL and Python skills, Data Analyst Interns usually have additional knowledge of data visualization tools and statistical methods. Understanding these differences helps candidates choose the role that best aligns with their skills and career goals.

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For Sql Python Intern jobs in Santa Clara, CA, the most frequently searched job titles are:

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Sql Python Intern jobs near you
Infographic showing various Sql Python Intern job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

2026 Fall Intern, Digital Health Algorithms

Samsung Research America Internship

Mountain View, CA • On-site

$44 - $63/hr

Other

Posted 13 days ago

Job description

2026 Fall Intern, Digital Health Algorithms

Samsung Research America Digital Health Algorithms Team collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare's toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access.

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives. Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

We are looking for Ph.D. candidates with solid ML/AI/GenAI technology background and digital health-related research project experiences in multi-modal physiological health algorithm development, large-scale wearable data analytics, and physiological signal processing. By leveraging smartphones, wearables, and hearables in health/wellness domain, your work will significantly benefit real-world consumers, patients, the elderly, physicians, and caregivers.

Samsung's unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Position Responsibilities:

  • Work with an experienced digital health algorithm research team to develop novel and disruptive algorithms towards digital health services and solutions.
  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets to train and fine-tune ML/DL models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.

Required Skills:

  • Currently pursuing PhD degree in computer science, electrical engineering, biomedical engineering or related areas
  • Solid coding skills with prototyping experience in AI model development, data science, and machine learning
  • Experience in physiological signal processing, large-scale time-series data analytics in digital health domain
  • Strong knowledge and experience in developing AI/ML foundation models and their finetuning approaches
  • Programming using languages such as Python, R, C/C++, Java, Android
  • Experience with cloud infra services like AWS, SageMaker Studio, GCP, SQL, and collaboration tools like github
  • Good communication/presentation skills and teamwork/collaboration spirit
  • Publication in top-tier journals and conferences

$44 - $63 USD

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