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Permanent 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 ...

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data ... U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a ...

Senior Data Engineer

Columbus, OH · On-site

$99K - $134K/yr

Contract-to-Hire Position Overview We are seeking an experienced Senior Data Engineer to join a ... Permanent Residents (s) . The organization is unable to provide current or future employment ...

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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Permanent Data Engineer C2C information

What is a permanent data engineer C2C?

Permanent Data Engineer C2C jobs refer to full-time data engineering positions where the hiring arrangement is on a 'Corp-to-Corp' (C2C) basis. In C2C contracts, a candidate works as an employee of a consulting or staffing company, which then contracts their services out to a client company. As a Permanent Data Engineer, you would be responsible for designing, building, and maintaining data systems, pipelines, and databases to support organizational data needs on a long-term basis. This setup allows for both the stability of a permanent role and the flexibility of a consulting arrangement.

What skills and qualifications are needed to thrive as a permanent data engineer C2C?

To thrive as a Permanent Data Engineer (C2C), you need strong expertise in data modeling, ETL processes, SQL, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud technologies (AWS, Azure, or GCP), and relevant certifications such as AWS Certified Data Analytics are highly valued. Excellent problem-solving, collaboration, and communication skills help you work efficiently with cross-functional teams and translate data requirements into actionable solutions. These skills and qualifications ensure the development, optimization, and maintenance of data pipelines that support robust business decision-making.

What challenges might a permanent data engineer C2C face when working with different client teams?

As a Permanent Data Engineer working C2C (Corp-to-Corp), you may encounter challenges like adapting quickly to various clients' tech stacks and data infrastructures. Communication can be complex, as you'll often collaborate with cross-functional teams who may have differing priorities or familiarity with data engineering concepts. Ensuring data quality and consistency across disparate systems is another common hurdle. Staying organized and proactive in documenting your work will help you succeed in these dynamic environments.

What is the difference between Permanent Data Engineer C2C vs Contract Data Engineer?

AspectPermanent Data Engineer C2CContract Data Engineer
Employment TypeFull-time, permanent employment with benefitsTemporary, project-based engagement without benefits
Work EnvironmentTypically in-house or long-term remoteOn-site or short-term remote, often at client sites
Credentials & CertificationsOften requires relevant certifications (e.g., AWS, Azure)Similar certifications may be preferred but not always mandatory
Industry UsageCommon in large organizations with ongoing data needsFrequent in consulting or project-specific roles

In summary, Permanent Data Engineer C2C roles offer stability and benefits, while Contract Data Engineer positions provide flexibility for short-term projects. Your choice depends on your career goals and preferred work environment.

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 job categories do people searching Permanent Data Engineer C2C jobs in Ohio look for?

The top searched job categories for Permanent Data Engineer C2C jobs in Ohio are:

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

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

Infographic showing various Permanent Data Engineer C2C job openings in Ohio as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Azure Data Engineer

Vaco by Highspring

Dublin, OH • On-site

$108K - $129K/yr

Other

Posted 18 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.