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Freelance Data Engineer C2C Jobs in Provo, UT (NOW HIRING)

Freelance Data Engineer C2C information

See Provo, UT salary details

$42.1K

$122.7K

$167.9K

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

As of Sep 7, 2026, the average yearly pay for freelance data engineer c2c in Provo, UT is $122,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $130,100.00 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.

What are popular job titles related to Freelance Data Engineer C2C jobs in Provo, UT?

For Freelance Data Engineer C2C jobs in Provo, UT, the most frequently searched job titles are:

What job categories do people searching Freelance Data Engineer C2C jobs in Provo, UT look for?

The top searched job categories for Freelance Data Engineer C2C jobs in Provo, UT are:

Marketing Operations Analyst

FocusKPI

Orem, UT • On-site

Full-time

Re-posted 17 days ago


Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered


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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010