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Freelance Data Engineer C2C Jobs (NOW HIRING)

About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing ...

Data Engineer

Houston, TX

$109K - $131K/yr

No C2C eligibility for this position. Visa Sponsorship is Available. The details are below. "Beware of scams. S3 never asks for money during its onboarding process." Job Title: Data Engineer Location:

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

No C2C eligibility for this position. Visa Sponsorship is Available! The details are below. Beware of scams. S3 never asks for money during its onboarding process. Job Title: Data Engineer Location:

Data Engineer

Pasadena, CA ยท On-site

$125K - $150K/yr

Data Engineer Direct Hire - Onsite Pasadena W2 Only (No Sponsorship/C2C) We are looking for a Data Engineer to design, optimize, and manage scalable data architecture. In this role, you will build ...

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Freelance Data Engineer C2C information

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$44.5K

$129.7K

$177.5K

How much do freelance data engineer c2c jobs pay per year?

As of Jul 29, 2026, the average yearly pay for freelance 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 are the key skills and qualifications needed to thrive as a Freelance Data Engineer C2C, and why are they important?

To thrive as a Freelance Data Engineer C2C, you need expertise in data modeling, ETL processes, SQL, and proficiency in at least one programming language like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop or Spark), and relevant certifications (such as AWS Certified Data Analytics) is typically required. Strong problem-solving skills, effective communication, and the ability to manage projects independently distinguish top freelance professionals. These capabilities ensure you can deliver scalable, reliable data solutions tailored to diverse client needs in a dynamic contract environment.

What is the difference between Freelance Data Engineer C2C vs Freelance Data Analyst C2C?

AspectFreelance Data Engineer C2CFreelance Data Analyst C2C
Required CredentialsTypically requires data engineering certifications, SQL, Python, cloud platform knowledgeOften requires data analysis certifications, SQL, Excel, visualization tools
Work EnvironmentFocus on building data pipelines, ETL processes, data architectureFocus on interpreting data, creating reports, dashboards
Employer & Industry UsageUsed in tech, finance, healthcare for infrastructure projectsUsed across marketing, retail, consulting for insights and reporting

Freelance Data Engineer C2C professionals primarily develop data infrastructure, while Freelance Data Analysts focus on interpreting data and creating reports. Both roles require SQL and related skills but differ in their core responsibilities and industry applications.

What are some common challenges faced by Freelance Data Engineers working on a C2C basis, and how can they be managed?

Freelance Data Engineers working on a Corp-to-Corp (C2C) basis often face challenges such as quickly adapting to different clients' data infrastructures, managing multiple projects simultaneously, and ensuring clear communication with remote or distributed teams. Navigating varied tech stacks and client-specific security protocols can also be demanding. To manage these challenges, it's important to establish thorough onboarding processes, maintain organized project management practices, and set clear expectations with clients regarding deliverables and timelines.

What is a Freelance Data Engineer C2C?

A Freelance Data Engineer C2C (Corp-to-Corp) is a data engineering professional who works independently or through their own registered business entity, providing data engineering services to clients on a contract basis. The C2C arrangement means the contract is between the client's corporation and the freelancer's corporation, rather than as a direct employee or as an individual contractor (1099). Freelance data engineers typically design, build, and maintain data pipelines and infrastructure, working with large datasets to support business needs. This setup allows for more flexible, project-based work and can offer tax advantages for both the freelancer and the client.
More about Freelance Data Engineer C2C jobs
What cities are hiring for Freelance Data Engineer C2C jobs? Cities with the most Freelance 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 Freelance Data Engineer C2C jobs? States with the most job openings for Freelance Data Engineer C2C jobs include:
Infographic showing various Freelance 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, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Freelance SQL & Python Data Specialist

Freelance SQL & Python Data Specialist

WiredPeople, Inc.

Tallahassee, FL โ€ข On-site, Remote

$16.25 - $21.50/hr

Contractor

Posted 10 days ago


Job description

Job Title: Freelance Data Specialist (SQL & Python)
Location: Hybrid (Tallahassee, FL area) - Must be located within commuting distance for periodic in-person meetings.
Overview:
WiredPeople is seeking a highly skilled freelance Data Specialist with deep expertise in SQL, Python, and relational database architecture. Familiarity with the WellSky platform (or similar healthcare case management systems) will support our efforts to leverage available data to make informed organizational decisions.
This is not just a standard report-writing gig. We need a systems-thinker who can reverse-engineer and map the relationships within the WellSky database, build comprehensive Entity Relationship Diagrams (ERDs), and then leverage that map to build automated, scalable reports (such as linking clients to their respective caregivers) using SQL and Python. Because this is a hybrid role that requires collaboration with various teams, the ideal candidate must be local to the Tallahassee area and capable of attending in-person meetings.
Key Responsibilities
  • Database Discovery & Mapping: Analyze the underlying schema of the WellSky platform. Identify primary/foreign keys and map the complex relationships between clients, caregivers, services, and demographic data.
  • Architecture Documentation: Create clear, comprehensive Entity Relationship Diagrams (ERDs) and a functional Data Dictionary for future internal use.
  • Advanced Report Development: Translate business requirements into complex SQL queries to extract accurate datasets.
  • Technical Translation & Handoff: Develop clear Standard Operating Procedures (SOPs) and runbooks. Conduct in-person and virtual handoff training sessions with staff, ensuring you can clearly and effectively relay technical information and database concepts to team members who are not well-versed in code or tech.

Required Skills & Experience
  • Advanced SQL & Python (Required): 5+ years of experience writing complex SQL queries (CTEs, window functions, complex joins) and building Python data scripts (Pandas, SQLAlchemy, etc.).
  • Healthcare/Case Management Data (Highly Preferred): Prior experience working with EHR, EMR, or case management platforms. Specific experience with the WellSky platform is highly preferred.
  • Cross-Functional Communication: Exceptional ability to translate non-technical business needs (e.g., "We need to see which caregivers are assigned to which clients in this county") into technical database requirements, and conversely, explain complex technical limitations to business leaders simply.
  • Database Architecture: Proven experience reverse-engineering databases, schema mapping, and creating ERDs using tools like Lucidchart, Visio, or DbSchema.
  • Compliance: Understanding of best practices for handling sensitive healthcare data and PII.

WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.