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Data Operations Internship Jobs in New York (NOW HIRING)

ADL

Fall NYNJ Regional OperationsIntern

Manhattan, NY · On-site

$1.4K - $1.8K/wk

Our Regional Operations internship provides the opportunity for students to gain practical experience with responding to antisemitic incidents, hate crimes data, community partnerships, and ...

Simulmedia

Operations Analyst

New York, NY · On-site

$50K - $60K/yr

... internships count!) with a growth and learning A recent graduate interested in media, advertising, or data operations Highly organized with excellent attention to detail Comfortable working on ...

Simulmedia

Operations Analyst

New York, NY · On-site

$50K - $60K/yr

... internships count!) with a growth and learning ● A recent graduate interested in media, advertising, or data operations ● Highly organized with excellent attention to detail ● Comfortable ...

Simulmedia

Operations Analyst

New York, NY · On-site

$50K - $60K/yr

... internships count!) with a growth and learning • A recent graduate interested in media, advertising, or data operations • Highly organized with excellent attention to detail • Comfortable ...

Group1001

Quantitative Analysis Intern

Stamford, CT · On-site

This is a full-time, 40-hour-per-week internship following a hybrid schedule, with two days ... Operational Data Loading and Processing Automation To support data operations for PV and related ...

Group1001

Quantitative Analysis Intern

Stamford, CT · Hybrid

This is a full-time, 40-hour-per-week internship following a hybrid schedule, with two days ... Operational Data Loading and Processing Automation To support data operations for PV and related ...

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Data Operations Internship information

What is the difference between Data Operations Internship vs Data Analyst?

AspectData Operations InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often in tech or finance companiesFull-time role in various industries, including tech, finance, healthcare
Employer & Industry UsageUsed for entry-level training, internships, and skill developmentUsed for ongoing data analysis, reporting, and decision support

The Data Operations Internship is an entry-level position focused on gaining practical experience in data management and operations. In contrast, a Data Analyst is a full-time role responsible for analyzing data, creating reports, and supporting business decisions. While both roles require familiarity with data tools, the internship is more about learning and skill development, whereas the analyst role involves applying skills to solve real-world problems.

What is a data operations internship?

A Data Operations Internship is a temporary position where students or recent graduates gain hands-on experience working with data management, analysis, and operational processes within a company. Interns in this role typically assist with collecting, cleaning, and organizing data, automating data workflows, and supporting data-related projects. This internship provides valuable exposure to tools like SQL, Excel, and data visualization platforms, while helping interns develop problem-solving and analytical skills. It's a great way to learn about the day-to-day responsibilities of data operations teams in various industries.

What types of projects and tasks can I expect to work on during a data operations internship?

As a Data Operations Intern, you will typically support the management, quality, and movement of data within the organization. Common tasks include cleaning and preparing datasets, assisting with data integrations between systems, monitoring data pipelines for errors, and documenting data processes. You may also collaborate with data engineers, analysts, and business teams to troubleshoot issues and help ensure data accuracy and reliability. This hands-on experience provides valuable insight into real-world data workflows and can help you develop both technical and teamwork skills essential for future data roles.

What does a data operations internship do?

A data operations internship involves supporting the management, processing, and analysis of data within an organization. Interns typically assist with data cleaning, database management, and using tools like SQL or Excel to ensure data accuracy and accessibility, gaining practical experience in data workflows and operational processes.

What are the key skills and qualifications needed to thrive as a data operations intern, and why are they important?

To thrive as a Data Operations Intern, you need foundational skills in data analysis, attention to detail, and proficiency in mathematics or statistics, typically supported by coursework or a degree in a related field. Familiarity with tools such as Excel, SQL, and data visualization platforms, as well as experience with database management systems, is highly beneficial. Strong problem-solving abilities, effective communication, and a collaborative mindset help interns excel in fast-paced, data-driven environments. These skills and qualities enable accurate data handling, support informed decision-making, and contribute to efficient team operations.
What are the most commonly searched types of Data Operations jobs in New York? The most popular types of Data Operations jobs in New York are:
What cities in New York are hiring for Data Operations Internship jobs? Cities in New York with the most Data Operations Internship job openings:
Data Operations Internship jobs near you
Infographic showing various Data Operations Internship job openings in New York as of August 2026, with employment types broken down into 50% Temporary, and 50% Summer. Highlights an 100% In-person job distribution.

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Posted 20 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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