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Internship Data Engineer C2C Jobs in Connecticut

Role : ASP.NET Developer ( C2C/W2 ) Location : Hartford, Connecticut 06103(Candidate Must Be Local ... This role combines requirements analysis, software development, and data migration validation ...

Role : ASP.NET Developer ( C2C/W2 ) Location : Hartford, Connecticut 06103(Candidate Must Be Local ... This role combines requirements analysis, software development, and data migration validation ...

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Windsor, CT Rate: $45-50/hr on C2C or 1099 and $44/hr on W2 without benefits Consultant need to ...

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Windsor, CT Rate $55 - 60/hr on C2C or 1099 and $53/hr on W2 without benefits Consultant need to ...

... Engineering, etc. * Excellent academic record - Minimum overall 3.0 GPA * Available for 10 consecutive weeks during Internship (June - August) * Must be able to work minimum of 40 hour week ...

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

... 0-2 years of programming experience Skills * Basic experience developing Logistic Regression ... Internship experience in a data scientist role #LI-JV1 BDA302 2026-79974 2026 Here, our employees ...

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Internship Data Engineer C2C information

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 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 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 are the most commonly searched types of Data Engineer C2C jobs in Connecticut?

The most popular types of Data Engineer C2C jobs in Connecticut are:

Data Engineer - Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY, Boston, MA.

TechniPros, LLC

East Hartford, CT • On-site

$113K - $136K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Job Title: Data Engineer
Location: Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY, Boston, MA.
Contact: 12+ Months
Looking for W2 candidates. No C2C

Job Summary
We are seeking an experienced Data Engineer to join our team in Chicago, IL. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and modern data infrastructure to support business intelligence, analytics, and machine learning initiatives. The successful candidate will have strong expertise in ETL/ELT development, cloud platforms, SQL optimization, and large-scale data processing.

Key Responsibilities

·        Design, develop, and optimize scalable data pipelines for enterprise data platforms.

·        Build and maintain robust data ingestion frameworks from multiple structured and unstructured data sources.

·        Develop, implement, and optimize ETL/ELT workflows for processing large-scale datasets.

·        Design and maintain data models to support reporting, analytics, and business intelligence.

·        Monitor data pipeline performance and troubleshoot production issues.

·        Ensure data accuracy, integrity, security, and governance across all data platforms.

·        Optimize SQL queries and database performance for high-volume workloads.

·        Implement data quality checks, validation frameworks, and monitoring processes.

·        Collaborate with data scientists, analysts, software engineers, and business stakeholders to deliver reliable data solutions.

·        Support cloud-based data engineering initiatives and continuously improve data processing performance.

Required Skills

·        Strong experience with Data Engineering concepts and best practices.

·        Expertise in ETL/ELT pipeline development.

·        Strong SQL programming and query optimization skills.

·        Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.

·        Hands-on experience building scalable data pipelines.

·        Knowledge of data modeling and data warehousing concepts.

·        Experience with data integration from multiple data sources.

·        Strong troubleshooting and performance tuning skills.

·        Familiarity with data governance, security, and data quality frameworks.

Preferred Skills

·        Experience with PySpark, Spark, or distributed data processing frameworks.

·        Experience with Azure Data Factory (ADF), Databricks, or similar ETL tools.

·        Exposure to machine learning data pipelines.

·        Knowledge of DevOps and CI/CD for data engineering

Best Regards:

Peerbhi SK
Phone:
Email: