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Summer Python Sql Jobs in New York (NOW HIRING)

Socket.dev

Data Scientist Summer Internship

Manhattan, NY · On-site

$114.62/hr

Ability to query and work with relational databases using SQL (e.g., Microsoft SQL Server, Oracle ... Working proficiency in one or more programming languages (e.g., Python, R, VB.NET) * Experience ...

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Summer Python Sql information

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

AspectSummer Python SqlSummer Data Analyst
Required SkillsPython, SQL, data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentProgramming, coding projectsData interpretation, reporting
Industry UsageTech, finance, startupsBusiness, marketing, finance

Summer Python Sql focuses on coding and data manipulation using Python and SQL, often in tech-driven environments. Summer Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles require SQL skills, but Python is central to Summer Python Sql, while data analysis tools are key for Summer Data Analyst. They share industry overlap but differ in daily tasks and skill emphasis.

What jobs can I get if I know Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, business intelligence analyst, and backend developer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring familiarity with tools like SQL databases and Python libraries such as pandas or NumPy.

Is Python and SQL enough to get a job as a Summer Python Sql?

For a Summer Python SQL role, proficiency in both Python and SQL is essential, as they are core skills for data analysis, database management, and automation tasks. However, additional skills such as understanding databases, version control, and basic data visualization can improve job prospects. Employers may also value relevant coursework, certifications, or internship experience in related fields.

What are the most commonly searched types of Python Sql jobs in New York?

The most popular types of Python Sql jobs in New York are:

What cities in New York are hiring for Summer Python Sql jobs?

Cities in New York with the most Summer Python Sql job openings:

Summer Python Sql jobs near you

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Posted 26 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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