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Internship Python Sql Developer Jobs in West Virginia

SWIFT VA

Test Engineer - Hybrid

Charleston, WV

$152K/yr

Proficiency in programming languages (e.g., Java, Python) * Experience with RHEL(Linux) technology required * Familiarity with SQL and no sql for database testing and data validation * Experience ...

Skyhigh Networks

Senior AI Engineer, MarTech

Charleston, WV · On-site +1

$113K - $149K/yr

Own the end-to-end lifecycle of models, from feature engineering in SQL/Python to deployment via APIs and monitoring for data drift in production. * Privacy & Ethics: Ensure all AI implementations ...

GDIT

Databricks Administrator / Platform Engineer

WV · Remote

Practical data engineering experience using SQL, Python, PySpark, or Spark in support of pipeline troubleshooting, platform standards, and engineering collaboration. * Strong understanding of ...

GDIT

WV · On-site

$44.75 - $61.75/hr

AWS Cloud Computing, IBM DB2 Database, Linux, Microsoft SQL Server, Unix Operating Systems ... Automation, DevOps & Modernization - Build infrastructure-as-code patterns for database ...

OneOncology

Data Engineer

Charleston, WV · Remote

$106K - $127K/yr

OneOncologyis seeking a strongBigData Engineer for a full-time role based in Austin, TX, Nashville ... SQL * 3+ years of experience using Python * 5+ years of experience using Databases or Data tools ...

General Motors

Senior AI/ML Engineer

Charleston, WV · On-site +1

$101K - $139K/yr

... like Python, TypeScript, Go, React, SQL, Redux, GraphQL, WebGL . * Solid understanding of ... engineering best practices (TDD, code quality, observability, CI/CD). * Experience developing and ...

Cotality

Sr Professional, Business Analysis

Charleston, WV · On-site

$85K - $110K/yr

Data Engineering & ETL: Develop and manage automated ETL pipelines, validation checks, and error ... Write and optimize complex SQL queries alongside Python or R scripts for large-scale data cleaning ...

CFGI

Data & Analytics - Consultant

Charleston, WV

... Programming (e.g., SQL, Java, Python, R) · RDMS (relational database management systems) · Exposure to data platforms (e.g., Snowflake, Databricks) · Data Engineering Qualifications and ...

CFGI

Data & Analytics - Manager

Charleston, WV · On-site

... Programming (e.g., SQL, Java, Python, R) · RDMS (relational database management systems) · Exposure to data platforms (e.g., Snowflake, Databricks) · Data Engineering Qualifications and ...

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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 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 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.
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Internship Python Sql Developer jobs near you
Infographic showing various Internship Python Sql Developer job openings in West Virginia as of June 2026, with employment types broken down into 78% Full Time, 10% Part Time, and 12% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Principal, Systems Engineer (R-18971)

Principal, Systems Engineer (R-18971)

Dun & Bradstreet

Charleston, WV

Full-time

Posted 5 days ago

Job description

Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

We are looking for a hands-on technical lead to own and scale large-scale IP-to-business entity attribution capabilities.

The Principal, Systems Engineer will work with internet intelligence datasets covering billions of IP addresses and help determine which signals can be reliably associated with businesses, organizations, and commercial entities. The role requires strong judgment in large-scale data attribution, entity resolution, quality control, and production data workflows.

The Principal, Systems Engineer is not primarily a cloud infrastructure role. It is a large-scale data attribution and quality role at the intersection of IP intelligence, business identity, and production data engineering.

Skills Needed:

  • Strong experience working with large-scale IP, domain, internet infrastructure, cyber intelligence, adtech, threat intelligence, fraud, or similar datasets.

  • Hands-on experience resolving technical internet signals to real-world entities, companies, organizations, or business locations.

  • Strong SQL skills for large-scale data analysis, joins, filtering, deduplication, quality checks, and exception analysis.

  • Strong Python skills for data processing, automation, file handling, matching logic, validation workflows, and repeatable pipelines.

  • Working knowledge of IP address ranges, ASNs, BGP/routing behavior, DNS, reverse DNS, domains, hosting infrastructure, cloud providers, CDNs, ISPs, and IP geolocation.

  • Ability to distinguish business-owned infrastructure from infrastructure that is residential, consumer, mobile, proxy/VPN, cloud-hosted, CDN, parked, stale, or otherwise weakly attributable.

  • Experience working with messy, high-volume data where the answer is probabilistic rather than perfectly deterministic.

  • Strong judgment in entity resolution: knowing when to map, when not to map, when to lower confidence, and when to escalate for review.

  • Ability to document rules, assumptions, confidence logic, QA findings, and repeatable workflows clearly.

Responsibilities:

  • Operate comfortably with very large-scale IP and internet intelligence datasets, including files covering billions of IP addresses.

  • Understand how to assess whether internet infrastructure is meaningfully attributable to a business, organization, or commercial entity.

  • Apply strong technical judgment to distinguish business-relevant infrastructure from consumer, residential, mobile, cloud-hosted, CDN, proxy/VPN, parked, stale, or otherwise weakly attributable signals.

  • Work across IP-level, domain-level, routing, hosting, geolocation, and other internet-layer signals to support high-quality business entity attribution.

  • Build and maintain repeatable data-processing workflows that support ingestion, normalization, analysis, validation, quality review, and delivery of large-scale attribution outputs.

  • Use SQL and Python to analyze large datasets, identify signal patterns, automate repeatable steps, investigate exceptions, and support scalable production processes.

  • Develop practical rules, heuristics, confidence logic, and review frameworks for working with noisy, incomplete, or conflicting attribution signals.

  • Evaluate the quality, coverage, freshness, explainability, and commercial usefulness of third-party IP intelligence and internet-signal data sources.

  • Partner effectively with product, data science, engineering, customer-facing, and data operations teams to translate attribution work into reliable business outputs.

  • Produce clear documentation of assumptions, quality standards, confidence levels, known limitations, and operational procedures.

  • Support customer-facing and downstream product use cases by ensuring outputs are reliable, explainable, and fit for purpose.

  • Provide technical guidance to analysts or junior engineers involved in validation, exception review, quality control, or recurring production workflows.

Education:
  • Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field is required and master's degree Preferred
Benefits We Offer
·Generous paid time off in your first year, increasing with tenure.
· Up to 16 weeks 100% paid parental leave after one year of employment.
· Paid sick time to care for yourself or family members. 
· Education assistance and extensive training resources.
· Do Good Program: Paid volunteer days & donation matching.  
· Competitive 401k with company matching.
· Health & wellness benefits, including discounted Wellhub membership rates.
· Medical, dental & vision insurance for you, spouse/partner & dependents.


All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found here. We participate in E-Verify - The current poster can be found here.

Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.