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Sql Python Intern Jobs in Bronx, NY (NOW HIRING)

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

Role Overview We are looking for a curious and motivated Data & Systems Developer Intern to join ... Python - basic to intermediate proficiency; comfortable writing scripts and small programs * SQL ...

Octaura

Intern, Data Engineering

New York, NY · On-site

As an intern on the data engineering team you will work directly with our senior data engineers ... using SQL and Python (or related language) as well as a strong interest in creating the data ...

Group1001

Quantitative Analysis Intern

Stamford, CT · On-site

We are seeking an intern to join our Quantitative Analysis Department for FALL 2026. Primary ... Proficient in SQL * Proficient in Python, R or other statistical software * Excellent skills and/or ...

Group1001

Quantitative Analysis Intern

Stamford, CT · Hybrid

We are seeking an intern to join our Quantitative Analysis Department for FALL 2026. Primary ... Proficient in SQL * Proficient in Python, R or other statistical software * Excellent skills and/or ...

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Sql Python Intern information

What is an SQL Python intern?

SQL Python Interns are entry-level professionals or students who assist with database management and data analysis tasks using SQL (Structured Query Language) and Python programming. They typically work under the supervision of experienced data engineers or analysts to help retrieve, process, and analyze data. Their responsibilities may include writing SQL queries, cleaning datasets, automating data workflows with Python, and generating reports. This internship provides hands-on experience in data manipulation, programming, and problem-solving, which are valuable skills for careers in data science and analytics.

What kinds of projects and tasks can an SQL Python intern expect to work on during their internship?

As a SQL Python Intern, you can expect to work on tasks such as data cleaning, database querying, and developing scripts to automate data processing. Interns often assist in building and maintaining data pipelines, generating reports, and supporting data analysis for ongoing projects. You'll typically collaborate with data analysts, engineers, and sometimes business stakeholders to ensure data integrity and provide insights that drive decision-making. This role provides hands-on experience with real datasets and gives you the opportunity to learn best practices in both SQL and Python within a collaborative, supportive team environment.

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

AspectSql Python InternData Analyst Intern
Required SkillsBasic SQL, Python scripting, data manipulationSQL, Python, data visualization, statistical analysis
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, marketing departments
Common UsageSupporting data projects, database managementInterpreting data, creating reports, insights

The Sql Python Intern role focuses on supporting data projects through basic SQL and Python scripting, often within tech environments. In contrast, Data Analyst Interns typically perform data interpretation, visualization, and reporting tasks. While both roles require SQL and Python skills, Data Analyst Interns usually have additional knowledge of data visualization tools and statistical methods. Understanding these differences helps candidates choose the role that best aligns with their skills and career goals.

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

To thrive as an SQL Python Intern, you need a solid understanding of relational databases, SQL queries, and foundational programming skills in Python, often supported by coursework or certifications in computer science or related fields. Familiarity with tools like MySQL, PostgreSQL, Jupyter Notebooks, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication help interns excel in collaborative, data-driven environments. These skills are crucial for efficiently extracting insights from data, contributing to team projects, and supporting business decision-making processes.

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

With Python and SQL skills, you can pursue roles such as data analyst, data scientist, database administrator, business intelligence analyst, or software developer. These positions often require knowledge of data manipulation, querying, and scripting, and may involve working with data analysis tools or programming environments like Jupyter or SQL databases.
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Sql Python Intern jobs near you

Data Quality AI Intern (61_2026.3)

Affinity Solutions

New York, NY • On-site

$30/hr

Other

Posted 24 days ago

Job description

Affinity Solutions (Affinity) is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned data from over 100 million consumers. Our proprietary AI technology, Comet, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships. Visit https://www.affinitysolutions.com to discover how were shaping the future of consumer purchase insights.

About Your Role:

We are looking for a motivated Data Quality AI Engineer Intern to join our Data Engineering team. You will work on production-scale data platforms to build automated data quality solutions, AI-powered tools, and scalable data pipelines. This role combines data quality engineering, software development, cloud technologies, and AI to improve data reliability, automate validation processes, and deliver actionable insights.

Your Responsibilities:

  • Develop and automate AI/ML data quality frameworks to validate datasets, features, embeddings, and AI-generated outputs for accuracy and reliability.
  • Build data profiling, validation, reconciliation, and anomaly detection workflows using Python, SQL, Spark, and cloud technologies.
  • Implement quality checks for LLM and Generative AI applications, including prompt validation, response evaluation, and model output monitoring.
  • Monitor AI data pipelines for data drift, schema changes, completeness, and consistency to ensure reliable model performance.
  • Collaborate with Data Engineering and ML teams to design scalable QA frameworks, dashboards, alerts, and automated testing solutions.

Your Qualifications:

  • Pursuing a BS/MS in Computer Science, Data Science, Engineering, Information Systems, or a related field.
  • Strong SQL skills (joins, CTEs, window functions, aggregations).
  • Proficiency in Python for automation, APIs, and data processing.
  • Familiarity with data warehouses such as Snowflake, Redshift, BigQuery, or Databricks.
  • Exposure to cloud platforms (AWS, Azure, or GCP) and data pipeline concepts.
  • Understanding of REST APIs, software engineering fundamentals, and version control (Git).
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Experience with Spark/PySpark, Airflow, dbt, or similar data engineering tools.
  • Exposure to AI/LLMs, prompt engineering, MCP frameworks, or chatbot development.
  • Familiarity with data quality, ETL/ELT, data governance, and monitoring frameworks.
  • Experience working with large-scale datasets and building dashboards or reporting solutions.
  • Knowledge of machine learning, feature engineering, or data privacy concepts is a plus.

Salary Range: $25/hr. for undergraduate students, $30/hr. for current graduate students

Office Hours: 9am 5:30pm

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