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Internship Python Sql Developer Jobs in New York

Advanced T-SQL programming and query optimization. Database performance tuning, indexing, and ... Exposure to Python and modern data processing frameworks. Experience supporting data integrations ...

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Must have 7 years of hands-on experience of Python programming and No SQL queries. Work extensively with MongoDB (NoSQL operations| pipelines| indexing strategies ) for schema design| querying ...

Python Developer

Newark, NJ · On-site

$52.50 - $72.50/hr

JD: * 6+ years of proficiency in Python, Advanced SQL, PROC, Python API development. * Need very ... Closely working with other developers, protect owners and testers to provide suggestive fixes.

Python Developer

Manhattan, NY · On-site

$90K - $100K/yr

We are looking for a highly skilled, street-smart developer with strong Python and SQL expertise who thrives in a fast-paced, data-driven financial environment. Required Skills: * 5-6 years of hands ...

Python Developer

New York, NY · On-site

$55 - $75.75/hr

Python Developer We are looking for an Entry level/experienced Python developer with a background ... Must have experience with basic java, SQL, and data structures. * Strong knowledge of relational ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... internship, you will explore ways to approach and solve exciting problems within your field of ... You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with ...

Python Developer

New York, NY · On-site

$55 - $75.75/hr

Python Developer We are looking for an Entry level/experienced Python developer with a background ... Must have experience with basic java, SQL, and data structures. * Strong knowledge of relational ...

Python Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

Open Systems Technologies is a major financial firm seeking a Python Developer to join their team ... SQL to contribute to various projects. Qualifications : Required : • A Bachelor's Degree in ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... internship, you will explore ways to approach and solve exciting problems within your field of ... You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with ...

Showing results 41-60

Internship Python Sql Developer information

What does an Internship Python SQL Developer do?

An Internship Python SQL Developer is typically responsible for assisting with the design, development, and maintenance of applications that use Python programming and SQL databases. Interns in this role often help write and optimize queries, automate data processing tasks, and support software development teams in building data-driven solutions. They also learn best practices in coding, database management, and may participate in troubleshooting or debugging issues under the guidance of senior developers. The internship provides hands-on experience with real-world projects, helping interns build their technical skills and prepare for a career in software development.

What types of projects and tasks can I expect as an Internship Python SQL Developer?

As an Internship Python SQL Developer, you'll typically work on real-world projects that involve writing and optimizing SQL queries, developing Python scripts to automate data processing, and supporting database management tasks. You may assist with data extraction, transformation, and loading (ETL) processes, help troubleshoot data issues, and collaborate closely with senior developers and data analysts. This hands-on experience allows you to gain a deeper understanding of database structures and software development workflows, while also enhancing your problem-solving skills in a professional environment.

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

To thrive as an Internship Python SQL Developer, you need a foundational knowledge of Python programming, SQL databases, and basic software development concepts, usually evidenced by coursework or relevant projects. Familiarity with tools like MySQL, PostgreSQL, version control systems such as Git, and possibly cloud platforms is highly beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly will help you stand out. These skills and qualities are crucial for efficiently building, maintaining, and optimizing database-driven applications in a collaborative tech environment.

What is the difference between Internship Python Sql Developer vs Python Sql Developer?

AspectInternship Python Sql DeveloperPython Sql Developer
QualificationsEnrolled in or recent graduate of relevant programBachelor's degree in Computer Science or related field, certifications preferred
Work EnvironmentInternship, supervised, entry-level projectsFull-time, professional projects, collaborative teams
ResponsibilitiesAssisting with data queries, learning SQL and Python basicsDeveloping and maintaining SQL databases, scripting in Python, data analysis

In summary, an Internship Python Sql Developer is an entry-level position aimed at learning and gaining experience, while a Python Sql Developer is a full-time professional role with more responsibilities and expectations. Internships serve as a stepping stone toward becoming a full developer.

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

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

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

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

Data Engineering Internship (Summer 2027)

Stamford, CT • On-site

Castleton Commodities International LLC
Oil and Gas Extraction • 501 - 1,000 employees

$122K - $146K/yr

Full-time

Re-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.