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Internship Postgresql Developer Jobs (NOW HIRING)

Data Engineering * Manage relational data in PostgreSQL, including schema updates and query ... None directly (Mentorship of interns or junior engineers is encouraged but not required ...

$25 - $40/hr

This internship provides hands-on experience in designing, developing, testing, and deploying ... PostgreSQL * MongoDB * SQL Server Cloud & DevOps: * AWS * Microsoft Azure * Google Cloud Platform ...

Junior Developer

Annapolis, MD · On-site

$76K - $128K/yr

... internships, academic projects, or professional environments. * Proficiency in Python development ... Knowledge of SQL and experience working with relational databases such as PostgreSQL, MySQL, or ...

Junior Developer

Annapolis Junction, MD · On-site

$76K - $128K/yr

... internships, academic projects, or professional environments. * Proficiency in Python development ... Knowledge of SQL and experience working with relational databases such as PostgreSQL, MySQL, or ...

SQL-based systems (e.g., PostgreSQL, MySQL) · Authentication & Integration: SSO, centralized MFA ... internships, or personal projects welcome) · Familiarity with full-stack development using React ...

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How much do internship postgresql developer jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for internship postgresql developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What does an Internship PostgreSQL Developer do?

An Internship PostgreSQL Developer assists in the development, implementation, and maintenance of databases using PostgreSQL. Their responsibilities may include writing SQL queries, optimizing database performance, supporting database security, and collaborating with senior developers or IT teams. Interns also learn best practices for data modeling and may help troubleshoot issues. This role provides practical experience in managing databases within real-world projects, making it ideal for students or recent graduates interested in database administration or development.

What types of projects and tasks can an Internship PostgreSQL Developer expect to work on?

As an Internship PostgreSQL Developer, you are likely to assist with tasks such as database schema design, writing and optimizing SQL queries, supporting data migration efforts, and helping troubleshoot database-related issues. Interns often collaborate closely with software engineers and senior database administrators, gaining exposure to real-world database management and development practices. You may also participate in code reviews, contribute to documentation, and help automate routine maintenance tasks. This hands-on experience offers valuable insight into the workflow of professional development teams and builds a strong foundation for future roles in database engineering.

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

To thrive as an Internship PostgreSQL Developer, you need a solid understanding of relational databases, basic SQL programming, and knowledge of data modeling concepts, typically supported by coursework in computer science or related fields. Familiarity with PostgreSQL, version control systems like Git, and database management tools is usually expected. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure accurate data handling, collaborative teamwork, and effective problem-solving when developing or maintaining database solutions.

What is the difference between Internship Postgresql Developer vs Junior Database Developer?

AspectInternship Postgresql DeveloperJunior Database Developer
Required CredentialsBasic knowledge of SQL, some familiarity with PostgreSQL, ongoing educationFoundational database skills, possibly some certifications or coursework
Work EnvironmentInternship setting, learning-focused, supervised tasksEntry-level position, supporting database projects, more independent
Employer & Industry UsageInternship programs in tech, finance, or startupsCompanies seeking entry-level database support roles
Comparison Search IntentYesYes

The main difference between an Internship Postgresql Developer and a Junior Database Developer lies in experience and responsibilities. Internships are typically learning roles with supervised tasks, while Junior Database Developers handle more independent work supporting database projects. Both roles require foundational SQL and database knowledge, but internships focus on skill development, whereas junior roles expect some practical experience.

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What states have the most Internship Postgresql Developer jobs? States with the most job openings for Internship Postgresql Developer jobs include:
What job categories do people searching Internship Postgresql Developer jobs look for? The top searched job categories for Internship Postgresql Developer jobs are:
AI Engineer (Internship) - Intelligent Question Bank Platform

AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Other

Posted yesterday


Job description

Company Description

Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K-12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more.
Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale.

Job Description

You will architect and implement the core AI pipeline that powers Accel's test creation system.

Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates.
On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together.
Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product.
This is a generalist role at an early-stage product where you'll wear multiple hats, work with ambiguity, and have direct input into how things are built.

PLEASE NOTE THESE QUESTIONS AND REPLY WITH YOUR APPLICATION:

  1. This is an unpaid internship opportunity. Are you still interested in the role?
  2. What interests you most about this internship and this role? (Please share what excites you about contributing and what you hope to gain from the experience.)
  3. Tell us about the most interesting project you've worked on in this domain. What was the project, and what specific contributions did you make? (Include technologies, responsibilities, outcomes, or measurable impact if applicable.)
  4. How many hours per week are you available to commit to this internship?
  5. Are you currently based in the USA?
Qualifications

Strong foundation in software engineering: data structures, APIs, system design
Proficiency in Python (primary language for AI/ML pipeline work)
Experience with REST APIs and at least one database (PostgreSQL preferred)
Ability to work independently, ask sharp questions, and iterate fast
Strong debugging and problem-solving instincts
Demonstrated side projects or shipped code (GitHub portfolio required)
Genuine interest in AI systems and education technology

Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini
Hands-on experience with RAG systems: embedding models, vector databases (Pinecone, 
Weaviate, pgvector, Chroma)
Familiarity with prompt engineering techniques: few-shot prompting, chain-of-thought, 
structured JSON outputs
Experience with NLP pipelines: text chunking, tokenization, semantic search
Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX)
Experience with image generation APIs or SVG programmatic generation
Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs
Cloud platform experience: AWS, GCP, or Vercel for deployment
Experience with job queues: Celery, Bull, or similar
Exposure to educational content standards or psychometrics is a bonus

Additional Information

All your information will be kept confidential according to EEO guidelines.