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Freelance Data Engineer C2C Jobs (NOW HIRING)

Symhas

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

On-site / Hybrid Position Type Contract (1099 / C2C) Duration 6-12 Months (with extension potential ... Data Engineer to join our team on a contract basis in Denver, Colorado. The ideal candidate will ...

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

Not eligible for C2C. * Pay Rate: $70-$80/hr * Duration: 6-month contract-to-hire * Location ... Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through ...

Winaxis

Sr. Data Engineer with GCP

Bentonville, AR · On-site

$60/hr

Senior Data Engineer (GCP) - Location: Bentonville, AR or Sunnyvale, CA (Day 1 onsite ... US Citizen only - Experience: 12+ years overall; 4+ years recent GCP - Rate: $60/hr on C2C ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work authorization (no C2C). The Azure Data Engineer is 100% remote and working in the eastern time zone ...

Solomon Page

Lead Data Engineer

San Francisco, CA · On-site

$134K - $161K/yr

  • Medical

  • Dental

  • Retirement

We are seeking a hands-on Lead Data Engineer to join the Data & AI Supply Chain organization and ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Releady

Data Engineer, Principal

Denver, CO · On-site

$117.10 - $130.87/hr

Not eligible for C2C. * Pay Rate: $85-$95/hr * Duration:6-month contract-to-hire * Location: Hybrid ... Provide hands‑on technical leadership and mentorship to senior and mid‑level data engineers ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

Solomon Page

Manager Data Engineer

San Francisco, CA · On-site

$90/hr

  • Medical

  • Dental

  • Retirement

We're looking for a Manager, Data Engineering with deep Big Data expertise to design, develop, and ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · On-site

$57/hr

***** IT'S A W2 CONTRACT ROLE, NO C2C/1099 ***** Title: Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

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All Jobsfreelance JobsFreelance Data Engineer C2C Jobs

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 Aug 19, 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 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.

What are the key skills and qualifications needed to thrive as a freelance data engineer C2C?

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 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 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.

More about Freelance Data Engineer C2C jobs

What cities are hiring for Freelance Data Engineer C2C jobs?

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

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The top searched job categories for Freelance Data Engineer C2C jobs are:

Freelance Data Engineer C2C jobs near you
Infographic showing various Freelance Data Engineer C2C job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

GCP DATA ENGINEER

Symhas

Denver, CO • On-site

$117K - $141K/yr

Other

Re-posted 9 days ago

Job description

GCP DATA ENGINEER

Contract • Denver, Colorado • On-site / Hybrid

Position Type

Contract (1099 / C2C)

Duration

6–12 Months (with extension potential)

Location

Denver, Colorado —5 days on-site

Start Date

Immediate / ASAP

Industry

Technology / Data Engineering

POSITION OVERVIEW

We are seeking an experienced GCP Data Engineer to join our team on a contract basis in Denver, Colorado. The ideal candidate will have deep expertise in Google Cloud Platform services, Java-based pipeline development, and enterprise ETL frameworks. You will design and implement scalable data pipelines, work with large distributed datasets, and collaborate with cross-functional teams to deliver high-quality data solutions.

KEY RESPONSIBILITIES

▸ Design, develop, and maintain robust ETL/ELT pipelines on Google Cloud Platform using Java and cloud-native services

▸ Build and optimize data workflows using GCP tools such as Dataflow (Apache Beam), Dataproc, BigQuery, Cloud Composer (Airflow), and Pub/Sub

▸ Develop Java-based data ingestion and transformation applications to move data across structured and unstructured sources

▸ Collaborate with data architects and analysts to translate business requirements into scalable technical data solutions

▸ Monitor, troubleshoot, and tune pipeline performance, data quality, and reliability in production environments

▸ Implement data governance and security best practices including IAM policies, encryption, and access controls

▸ Work with Cloud Storage, Cloud SQL, Spanner, and Bigtable to manage and persist data assets

▸ Participate in code reviews, technical design discussions, and agile ceremonies

▸ Write technical documentation for pipelines, schemas, and data flows

▸ Support data migration efforts and legacy system integration with modern cloud infrastructure

REQUIRED QUALIFICATIONS

Core GCP Skills

▸ 5+ years of experience in data engineering with at least 3 years on Google Cloud Platform

▸ Hands-on expertise with BigQuery (table design, partitioning, clustering, cost optimization)

▸ Proficiency with Cloud Dataflow (Apache Beam pipelines — batch and streaming)

▸ Experience with Cloud Composer / Apache Airflow for workflow orchestration

▸ Familiarity with Pub/Sub for real-time event streaming and messaging

▸ Working knowledge of Cloud Storage, Dataproc (Spark/Hadoop), and GCP networking basics

Java & ETL

▸ Strong proficiency in Java (8+) for building data pipelines and backend services

▸ Experience designing and building ETL/ELT pipelines at scale (batch and streaming)

▸ Knowledge of SQL and experience writing complex queries for BigQuery or similar warehouses

▸ Familiarity with data transformation patterns: slowly changing dimensions, CDC, data normalization

▸ Experience integrating APIs, JDBC/ODBC connectors, and file-based data sources

General

▸ Solid understanding of distributed systems, data warehousing concepts, and data lake architecture

▸ Proficiency with version control (Git) and CI/CD practices

▸ Excellent problem-solving skills and ability to work independently in a contract environment

▸ Strong communication skills for collaborating with remote and on-site stakeholders

PREFERRED / NICE-TO-HAVE

▸ Google Cloud Professional Data Engineer certification

▸ Experience with dbt (data build tool) for data transformation

▸ Familiarity with Terraform or Deployment Manager for infrastructure-as-code on GCP

▸ Experience with Kafka or other streaming platforms alongside Pub/Sub

▸ Knowledge of Python for scripting and data manipulation tasks

▸ Exposure to data quality frameworks (Great Expectations, Deequ)

▸ Experience with Looker, Data Studio, or other BI tools connected to BigQuery

TECHNICAL SKILLS SUMMARY

Category

Technologies & Tools

Cloud Platform

Google Cloud Platform (GCP)

GCP Services

BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, Cloud SQL, Spanner, Bigtable

Programming

Java (primary), SQL, Python (preferred)

ETL / Pipeline

Apache Beam, Apache Spark, Apache Airflow, dbt

DevOps / IaC

Git, CI/CD pipelines, Terraform (preferred)

Data Formats

Avro, Parquet, JSON, CSV, ORC

Methodologies

Agile / Scrum, Data Mesh, Data Lakehouse

ABOUT THE ENGAGEMENT

This is a contract role embedded within an established data engineering team. You will have direct impact on mission-critical data pipelines that serve business intelligence, analytics, and operational systems. The team follows agile practices with two-week sprints, daily standups, and collaborative design sessions. The role is hybrid with approximately three days on-site in Denver, CO.