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Sql Database Internship Jobs in Connecticut (NOW HIRING)

RAKS Group LLC

Business Analyst

Brooklyn, CT · On-site

... internship or co-op experience within a utility company environment Excellent communication ... Python SQL Oracle databases Figma Workflow/process mapping QA/UAT coordination Exposure to GIS ...

Gorilla Commerce

Business Systems Analyst

Norwalk, CT · On-site

$65 - $95/hr

... internships included). * Basic understanding of ERP systems; exposure to NetSuite is a plus ... Foundational knowledge of SQL or relational databases is a plus.{ " * Strong problem‑solving ...

Gorillacommerce

Business Systems Analyst

Norwalk, CT · On-site

$70 - $100/hr

... internships included). * Basic understanding of ERP systems; exposure to NetSuite is a plus ... Foundational knowledge of SQL or relational databases is a plus.{ " * Strong problem‑solving ...

Gorilla Commerce

Business Systems Analyst

Norwalk, CT · On-site

... internships included). * Basic understanding of ERP systems; exposure to NetSuite is a plus ... Foundational knowledge of SQL or relational databases is a plus. * Strong problem-solving skills ...

Gorilla Commerce

Business Systems Analyst

Norwalk, CT · On-site

... internships included). * Basic understanding of ERP systems; exposure to NetSuite is a plus ... Foundational knowledge of SQL or relational databases is a plus. * Strong problem-solving skills ...

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$20.5K

$83.3K

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How much do sql database internship jobs pay per year?

As of Aug 25, 2026, the average yearly pay for sql database internship in Connecticut is $83,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $95,100.00 per year, depending on experience, location, and employer.

What is a sql database internship?

An SQL Database Internship is a temporary position designed for students or entry-level candidates to gain hands-on experience working with SQL databases. Interns typically assist in database design, optimization, query writing, and data management under the guidance of experienced professionals. The role provides exposure to database administration, performance tuning, and data security practices. It helps interns develop essential SQL skills applicable to careers in data analysis, database development, and IT.

What does a typical day look like for an SQL database intern?

A typical day for an SQL Database Intern involves working alongside experienced database administrators and developers to support data integrity and optimize database performance. You might spend your day writing and refining SQL queries, assisting with data migrations, or helping troubleshoot database issues under supervision. Collaboration with other IT team members is common, especially for projects that span multiple departments or require data integration. Interns are often given opportunities to learn new tools, participate in meetings, and receive mentorship, providing hands-on experience that is highly valuable for future career growth.

What are the key skills and qualifications needed to thrive in the sql database internship position, and why are they important?

To thrive as an SQL Database Intern, you need a solid understanding of relational databases, proficiency in SQL queries, and foundational knowledge in database concepts, usually supported by coursework or relevant academic projects. Familiarity with database management systems such as MySQL, Microsoft SQL Server, or PostgreSQL, and exposure to tools like SQL Management Studio are valuable assets. Strong attention to detail, analytical thinking, and effective communication skills help interns contribute meaningfully and learn quickly in team settings. These skills and qualities are crucial for accurately managing data, solving real-world database issues, and collaborating successfully with development and engineering teams.

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Sql Database Internship jobs near you

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Re-posted 5 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.

Apply