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Internship Python Sql Developer Jobs in Princeton, WV

Lead Data Engineer (BI/ETL) (W2)

Glen Lyn, VA · Remote

$104.90K - $138.20K/yr

Modern Data Stack Expertise - Snowflake, SQL, Python, ETL tools (dbt, Airflow). * * BI & Analytics ... Promote best practices in engineering and data operations. Qualifications: * * 7+ years in software ...

Provide engineering support for plant electrical systems, equipment installations, and ... Experience with SQL, ODATA, or Python for automation and system integration * Experience with ...

Internship Python Sql Developer information

See Princeton, WV salary details

$12

$56

$83

How much do internship python sql developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for internship python sql developer in Princeton, WV is $56.71, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.42 per hour, depending on experience, location, and employer.

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 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 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 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.

AI & Data Engineer (W2)

Digital Links Inc

Glen Lyn, VA • Remote

$117.20K - $140.70K/yr

Contractor

Posted 15 days ago


Job description

Role: AI & Data Engineer
Location: Remote US, light travel may be required
Employment Type: Contract-to-Hire (6 Months)
 
Top Skills: RAG, Snowflake, SQL/Oracle, JSON/API’s, Python/Java, AWS S3, CI/CD (Git/GitHub)
Preferred Skills: Openpages, enterprise security and governance understanding.
 
We are seeking an experienced AI and Data Engineer to design and deploy AI-driven solutions and enterprise data integrations. This role combines applied machine learning, AI agent development, and hands-on data engineering within a governed enterprise environment.
 
The successful candidate is a hands-on engineer who can independently deliver secure, scalable AI and data solutions—building production-ready models and agents, engineering robust data pipelines, and ensuring all solutions meet enterprise security, architecture, compliance, and cross-functional review standards.
 
Key Responsibilities
Develop and deploy classification models and retrieval-augmented generation (RAG) chat agents.
Design prompts, retrieval strategies, tool orchestration, and evaluation frameworks.
Implement guardrails aligned with enterprise AI governance and security requirements.
Monitor and report model performance (accuracy, latency, cost, reliability).
Build and maintain data ingestion and transformation pipelines.
Extract and transform semi-structured data (JSON) from OpenPages via API into Snowflake-compatible formats.
Load data into Snowflake using CLI utilities or AWS S3 staging.
Integrate enterprise systems including Teradata, DB2, Oracle, CRM platforms, ticketing systems, and internal/external APIs.
Support CI/CD processes and deployment standards across environments.
Produce architecture diagrams, data flow documentation, and technical artifacts required for review processes.
Participate in security, architecture, and open-source approval workflows.
Contribute to monitoring, deployment procedures, and operational documentation.
Collaborate through code reviews, pull requests, and Agile ceremonies (JIRA/Confluence).
 
Required Qualifications
Experience building and operationalizing machine learning models and AI agents in production environments.
Strong Snowflake and enterprise data engineering experience.
Proficiency in SQL and Python and Java.
Experience working with APIs and semi-structured data (JSON).
Familiarity with Teradata, DB2, Oracle, and OpenPages preferred.
Experience operating within regulated or governance-driven enterprise environments.
Strong problem-solving and communication skills.
 
Education and Experience:
· Bachelor’s degree in computer science or similar field
· 8+ years of experience as a Java or Python Developer in an enterprise level