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Internship Data Structure Jobs in New York (NOW HIRING)

Optimum

Intern - Data Engineer

Long Island City, NY

$35/hr

Write SQL queries & Python code for data structuring, data validation, process automation, and data ... internships, preferred * Experience scripting and deploying ETL jobs, cron jobs and code changes ...

New

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... structured and unstructured data (think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds). During the internship you ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • Experience with data ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ

$116K - $139K/yr

... or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • Experience with data ...

Jane Street

Data Engineer

New York, NY

$125K - $150K/yr

... structured and unstructured data (think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds). During the internship you ...

Octaura

Intern, Data Engineering

New York, NY

The Opportunity Octaura offers exciting summer internship opportunities, especially for those ... Our flexibility and flat structure will allow you to make life-long connections while diving head ...

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All JobsData Structure JobsInternship Data Structure JobsInternship Data Structure Jobs in New York

Internship Data Structure information

What is the difference between Internship Data Structure vs Data Analyst Intern?

AspectInternship Data StructureData Analyst Intern
Required SkillsBasic programming, understanding of algorithms, data organizationData analysis, Excel, SQL, visualization tools
Work EnvironmentTech companies, software firms, startupsBusiness, finance, marketing sectors
Industry UsageSoftware development, data managementBusiness intelligence, reporting

Internship Data Structure focuses on foundational programming and data organization skills, often in tech environments. Data Analyst Internships emphasize analyzing data, creating reports, and using visualization tools. Both roles are entry-level, but they serve different industry needs and skill sets.

What cities in New York are hiring for Internship Data Structure jobs? Cities in New York with the most Internship Data Structure job openings:
Internship Data Structure jobs near you

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Posted 18 days ago

Job description

Application Deadline: September 1, 11:59 pm EST
Program Summary - Data Science & Technology Internship
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.
Responsibilities:
  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:
  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

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