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Entry Level Data Engineer C2C Jobs (NOW HIRING)

AWS Data Engineer Snowflake

OR

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... W2, C2c, Information will be kept confidential according to EEO guidelines.

Bigdata Engineer

Plano, TX · On-site

$52 - $69/hr

Big Data Engineer Plano, TX 6 Months+ No C2C, any visa is okay. Total Experience Required • 4 • The candidate should have performed client facing roles and possess excellent communication skills ...

New York, NY Duration : 12 months Only ON W2 No C2C : There are 2 data platforms; an older one ... Looking to have someone who fits the profile of either a Data Analyst or a Data Engineer refactor ...

Infrastructure Engineer

Spartanburg, SC · On-site

$105K - $138K/yr

Administrators on the team provide entry-level data center support, and the Infrastructure Engineer collaborates with them through informal knowledge sharing and runbook walk-throughs to cover ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Infrastructure Engineer

Spartanburg, SC

$105K - $138K/yr

Administrators on the team provide entry-level data center support, and the Infrastructure Engineer collaborates with them through informal knowledge sharing and runbook walk-throughs to cover ...

... programming and understanding of the software development life cycle Knowledge of Linear Algebra ... complex data problems Assess project requirements and develop data analysis algorithms Engage ...

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Entry Level Data Engineer C2C information

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$44.5K

$129.7K

$177.5K

How much do entry level data engineer c2c jobs pay per year?

As of Jul 9, 2026, the average yearly pay for entry level data engineer c2c in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Data Engineer C2C vs Data Analyst?

AspectEntry Level Data Engineer C2CData Analyst
Required CredentialsBachelor's in CS, IT, or related; some certificationsBachelor's in Statistics, Math, or related; often certifications in analytics tools
Work EnvironmentTech teams, data infrastructure projects, cloud platformsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, consulting firms, finance, healthcareMarketing, finance, retail, healthcare

Entry Level Data Engineer C2C roles focus on building and maintaining data pipelines and infrastructure, often requiring technical skills in databases and cloud platforms. Data Analysts interpret data, create reports, and support decision-making. While both roles work with data, Data Engineers are more technical and infrastructure-focused, whereas Data Analysts focus on data interpretation and visualization.

What are some common challenges faced by entry level data engineers working on a C2C (Corp-to-Corp) basis?

Entry level data engineers on a C2C basis often encounter challenges such as adapting to varied client environments and tools, managing communication across multiple stakeholders, and keeping up with rapid changes in project requirements. Since C2C roles are contract-based, you may also need to quickly familiarize yourself with new team structures and workflows. Proactively asking questions and seeking mentorship can help ease the transition, and strong documentation skills are essential for integrating smoothly into different organizations.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer C2C, and why are they important?

To thrive as an Entry Level Data Engineer C2C, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data visualization systems is also important, and certifications like AWS Certified Data Analytics can be beneficial. Strong problem-solving abilities, attention to detail, and effective teamwork are crucial soft skills in this role. These combined skills enable efficient data pipeline development, collaboration with stakeholders, and delivery of reliable data solutions for business needs.

What is an Entry Level Data Engineer C2C?

An Entry Level Data Engineer C2C is a beginner data engineering professional who works on a Corp-to-Corp (C2C) contract basis, typically through a consulting or staffing firm. Their main responsibilities include building, maintaining, and optimizing data pipelines and infrastructure for organizations. They often work with technologies like SQL, Python, ETL tools, and cloud platforms to help manage large datasets. The C2C arrangement means the engineer is contracted through their own corporation rather than being a direct employee. This role is ideal for those starting a career in data engineering and seeking experience through contract positions.
More about Entry Level Data Engineer C2C jobs
What cities are hiring for Entry Level Data Engineer C2C jobs? Cities with the most Entry Level Data Engineer C2C job openings:
What are the most commonly searched types of Data Engineer C2C jobs? The most popular types of Data Engineer C2C jobs are:
What states have the most Entry Level Data Engineer C2C jobs? States with the most job openings for Entry Level Data Engineer C2C jobs include:
Infographic showing various Entry Level Data Engineer C2C job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Entry Level Data Analyst

Entry Level Data Analyst

Acadia Technologies, Inc.

Dallas, TX • On-site

Other

Posted 9 days ago


Job description

1. Statistical Analysis & Quantitative Reasoning

2. Data Cleaning, Preparation & Wrangling

3. Programming Skills (Python, R, SQL)

4. Statistical programming

5. Machine learning