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Freelance Data Engineer C2C Jobs in Ohio (NOW HIRING)

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

Azure Data Engineer (Microsoft Fabric) - Direct Hire, Hybrid (Columbus, OH) Position Type: Direct ... This role is not available for C2C, Visa Sponsorship, Third Parties, or Student Visa candidates. U.

***** 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 ...

Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

DATA PLATFORM MANAGER

Columbus, OH · On-site

$50 - $60/hr

No sponsorship or C2C for this role Must be a w2 employee of The Judge Group Data Platform Manager ... Lead and mentor a team of data platform engineers, analysts, contractors, and technical ...

Local Candidates, No C2C or Sponsorship Responsibilities * Serve as the primary technical authority ... Elevate the technical bar across the application and data teams through shared standards ...

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Freelance Data Engineer C2C information

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

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

What are popular job titles related to Freelance Data Engineer C2C jobs in Ohio?

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

What cities in Ohio are hiring for Freelance Data Engineer C2C jobs?

Cities in Ohio with the most Freelance Data Engineer C2C job openings:

Infographic showing various Freelance Data Engineer C2C job openings in Ohio as of June 2026, with employment types broken down into 3% As Needed, 49% Full Time, 45% Part Time, and 3% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Azure Data Engineer

Vaco by Highspring

Dublin, OH • On-site

$108K - $129K/yr

Other

Posted 20 days ago


Job description

Job Description: Azure Data Engineer (Microsoft Fabric) – Direct Hire, Hybrid (Columbus, OH) Position Type: Direct Hire (W-2) Location: Hybrid – 3 days/week in-person in Columbus, Ohio office Reports To: Director, Application Services Travel: Up to 5% Work Authorization: This role is not available for C2C, Visa Sponsorship, Third Parties, or Student Visa candidates. U.S. work authorization required. Purpose As a member of the Technology team, you will serve as the hands-on technical owner of the enterprise Microsoft Fabric data platform in our client’s Central Ohio office. You will be responsible for designing, building, and operating data pipelines within Microsoft Fabric, supporting centralized data ingestion, transformation, and analytics readiness across the organization.learn.microsoft+1 As an individual contributor and Data Engineering owner, you will play a key role in shaping a scalable and well-designed data environment, applying strong engineering judgment and pragmatic architectural thinking. Working within the Application Services team, you will partner closely with application teams, our business intelligence team, and business stakeholders to ensure data quality, reliability, and sustainability as the data platform matures.jobs.dayforcehcm+1 Essential Functions Design, build, and maintain scalable data ingestion and transformation pipelines using Microsoft Fabric and Azure-native tooling (Data Factory in Fabric, Dataflows Gen2, Notebooks, Spark jobs).learn.microsoft+2 Lead technical execution of legacy data migrations into the enterprise Fabric environment. Implement data quality controls, validation routines, and monitoring to ensure trusted enterprise data.jobs.dayforcehcm+1 Optimize data pipelines and platform performance for reliability, scalability, and cost efficiency (Delta table maintenance, partitioning, capacity monitoring).jobs.dayforcehcm+1 Integrate and onboard new data domains in partnership with application and business teams. Support analytics and reporting use cases by preparing high-quality data assets for Power BI and downstream consumption (semantic models, curated datasets).curatepartners+1 Collaborate with Application Services, Infrastructure, Security, and external partners on data initiatives. Document data pipelines, standards, and operational practices to support sustainability and operational readiness. jobs.dayforcehcm Expectations Demonstrates and maintains a positive, professional manner; manages time efficiently and effectively; provides leadership as a role model to promote a team approach; collaborates and participates in policy creation and appropriate problem-solving methods. Completes all annual education requirements timely, including but not limited to Compliance, Privacy, Security, and HIPAA training; exhibits behavior as set forth by the Code of Conduct in the performance of duties. Performs other duties as assigned. Qualifications Education Bachelor’s degree in Information Technology, Computer Science, or equivalent professional experience. Experience Minimum 5 years of hands-on data engineering experience building enterprise-scale data pipelines.indeed+1 Must have experience working with Microsoft Fabric and Microsoft Purview .learn.microsoft+1 Experience implementing or working within layered data architectures (e.g., raw/staging/curated or medallion pattern) in a modern cloud data platform.jobs.dayforcehcm+1 Experience developing data solutions using Python (PySpark) or similar data engineering languages; strong SQL proficiency required.learn.microsoft+1 Experience contributing to or evolving data architecture standards in collaboration with application, integration, or platform teams (preferred). Experience serving as the primary or sole data engineering resource in a small or maturing data organization (preferred). Experience supporting healthcare, housing, or nonprofit data environments (preferred). Skills Strong experience with Microsoft Azure data services and data integration tooling (Azure Data Factory, Synapse, Databricks, or equivalent).appning+1 Proficiency in SQL and data transformation frameworks. Familiarity with data architecture principles and analytics enablement. Familiarity with Microsoft Fabric concepts including OneLake , lakehouse patterns, and downstream semantic modeling considerations for analytics consumption.curatepartners+1 Experience working with Microsoft Power BI (dataset preparation, semantic modeling).curatepartners+1 Demonstrated ability to make pragmatic data design decisions, including data modeling, pipeline patterns, and integration approaches, in environments without a dedicated data architect. Excellent communication, comprehension, and interpersonal skills. Must have the ability to speak, read, write, and understand English, and the ability to make self-understood. Strong understanding of data quality, governance, DLP, and security best practices.jobs.dayforcehcm+1 Licensure / Certifications (Preferred) Microsoft Azure Data Engineering certifications (e.g., DP-203 : Data Engineering on Microsoft Azure) or Fabric Data Engineer Associate (DP-600).learn.microsoft+1 Work Environment & Requirements Hybrid schedule: 3 days per week in-person at our client’s Columbus, Ohio office. Occasional travel up to 5% may be required for meetings, training, or project work. This is a direct hire (W-2) position. No C2C, no third-party agencies, no visa sponsorship, and no Student Visa candidates will be considered.By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions.