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Internship Data Engineer C2C Jobs in Georgia (NOW HIRING)

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

Partner closely with product, engineering, and cross-functional stakeholders to translate business ... field, including internships, research, senior projects, or meaningful independent projects.

Krest Global Solutions

DevOps Engineer GCP

Atlanta, GA · On-site

$58 - $60/hr

EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid - 3 days on-site) Job Summary: We ... Collaboration & Automation Collaborate with development and data teams to improve deployment ...

University of North Georgia

Data Scientist

Dahlonega, GA · On-site

... interns participating in the Analytics & Innovation Incubator. Please be advised that any offer of ... Proficiency using analytical programming languages such as Python or R and familiarity with SQL for ...

Ronald McDonald House Atlanta

2026 Internship

Atlanta, GA · On-site

$14.75 - $19.50/hr

Data entry, record management, and internal process support * Assisting with scheduling ... Supporting Family Services staff in daily programming * Assisting with check‑ins, family ...

Ronald McDonald House Atlanta

2026 Internship

Atlanta, GA · On-site

$14.75 - $19.50/hr

Data entry, record management, and internal process support * Assisting with scheduling ... Supporting Family Services staff in daily programming * Assisting with checkins, family activities ...

LaAmistad

Internship- Unpaid

Atlanta, GA · On-site

Support teaching staff and volunteers during afterschool programming for K12 students * Assist in ... Data tracking, program evaluation, and reporting * Real-world exposure to nonprofit operations

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Partner closely with product, engineering, and cross-functional stakeholders to translate business ... field, including internships, research, senior projects, or meaningful independent projects.

Revenue Analytics

Data Scientist

Atlanta, GA

$95K - $110K/yr

Partner closely with product, engineering, and cross-functional stakeholders to translate business ... field, including internships, research, senior projects, or meaningful independent projects.

Saransh Inc

Senior Golang Developer - Only W2

Alpharetta, GA · On-site

$53.25 - $70.25/hr

Only Visa Independent candidates are required (No C2C or Third-party candidates) Must Have skills ... Implement and maintain RESTful and gRPC APIs for data exchange and service integration. · Data ...

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Internship Data Engineer C2C information

What are the key skills and qualifications needed to thrive as an internship data engineer C2C, and why are they important?

To thrive as an Internship Data Engineer C2C, you need a solid understanding of data structures, programming (often Python or SQL), and database concepts, typically supported by ongoing studies in computer science or a related field. Familiarity with data engineering tools such as ETL platforms, cloud services (like AWS or Azure), and version control systems (such as Git) is commonly expected. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills for collaborating on projects and troubleshooting complex data problems. These competencies enable you to contribute meaningfully to data pipeline development and ensure reliable data infrastructure in a real-world business context.

What types of projects and responsibilities can an internship data engineer C2C expect to handle, and how do these contribute to professional growth?

As an Internship Data Engineer, you can expect to assist with tasks such as developing data pipelines, cleaning and transforming datasets, and helping to integrate data from various sources. You'll often collaborate closely with data scientists, analysts, and senior engineers to understand business requirements and implement solutions. These hands-on responsibilities provide exposure to industry-standard tools and practices, helping you build a strong technical foundation and teamwork skills. Successfully completing these projects can pave the way for full-time opportunities and further specialization in data engineering.

What is an internship data engineer C2C?

An Internship Data Engineer C2C is an entry-level or temporary data engineering position offered on a 'Corp-to-Corp' (C2C) basis, usually for students or recent graduates. The role involves working on projects related to data collection, processing, and management, often under the guidance of senior engineers. C2C means the intern is employed and paid through a third-party company, not directly by the hiring organization. This arrangement is common for contract roles in the tech industry, especially in the United States. Interns in this role gain hands-on experience with databases, data pipelines, and data analytics tools.
What are the most commonly searched types of Data Engineer C2C jobs in Georgia? The most popular types of Data Engineer C2C jobs in Georgia are:
Internship Data Engineer C2C jobs near you

Data Scientist

Revenue Analytics

Atlanta, GA • On-site

$95 - $110/hr

Other

Re-posted 16 days ago

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands‑on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade‑offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision‑support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year

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