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Summer Python Sql Jobs in Hempstead, NY (NOW HIRING)

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

The start date is ASAP (targeting end of summer) for this long-term contract-to-hire position. Job ... Develop data transformation and modeling solutions using SQL and Python * Modernize analytics ...

Junior Business Analyst

Port Washington, NY · On-site

$28.75 - $38.50/hr

The ideal candidate will use analytical tools, including Python and SQL, to automate data workflows ... Summer Fridays * Complimentary Gourmet Breakfast, Lunch, and Dinner * Relocation Support for New ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases * Improving research ...

The Opportunity Octaura offers exciting summer internship opportunities, especially for those ... using SQL and Python (or related language) as well as a strong interest in creating the data ...

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer ... Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases * Improving research ...

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Summer Python Sql information

See Hempstead, NY salary details

$13

$60

$89

How much do summer python sql jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for summer python sql in Hempstead, NY is $60.96, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $69.23 per hour, depending on experience, location, and employer.

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.

$122K - $146K/yr

Full-time

Posted 9 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.