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Permanent Data Engineer C2C Jobs in Raleigh, NC (NOW HIRING)

UnitedHealth Group

Senior ETL Test Engineer

Raleigh, NC · On-site

$91K - $163K/yr

... engineering teams * Validate Power BI datasets, semantic models, and dashboards by ensuring ... permanent fixes * Leverage AI-assisted data quality practices, including: * GenAI-based rule ...

Jobsbridge

Front End Developer

Durham, NC · On-site

$100K - $116K/yr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. No C2C Please. Key Deliverables: As Front End Developer the successful ...

Mondo

AI Engineer

Raleigh, NC · Remote

$130K - $160K/yr

The start date is end of July / early August for this permanent salaried position with a one-year ... Support data accessibility initiatives tied to the client's internal data warehouse and ETL ...

PSC Biotech

Senior Validation Engineer

Durham, NC · On-site

... with cGMP, data integrity, and regulatory requirements. Lead and execute commissioning ... No C2C at this time. Benefits Offering a full suite of benefits, PSC Biotech is firmly focused on ...

PSC Biotech

Senior Validation Engineer

Durham, NC · On-site

$120K - $140K/yr

Thorough understanding of cGMP regulations, FDA requirements, GAMP 5, 21 CFR Part 11, and data ... S. No C2C at this time. Benefits Offering a full suite of benefits, PSC Biotech™ is firmly ...

PSC Biotech

Senior Validation Engineer

Durham, NC · On-site

Thorough understanding of cGMP regulations, FDA requirements, GAMP 5, 21 CFR Part 11, and data ... S. No C2C at this time. Benefits Offering a full suite of benefits, PSC Biotech™ is firmly ...

Honeywell

Energy Analyst (Data Support)

Raleigh, NC · On-site

$72K - $95K/yr

AAS or higher in Engineering, Computer Science or related discipline. * Knowledge of relational ... S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have ...

Honeywell

Energy Analyst (Data Support)

Raleigh, NC · On-site

$72K - $95K/yr

AAS or higher in Engineering, Computer Science or related discipline. * Knowledge of relational ... S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have ...

Honeywell

Energy Analyst (Data Support)

Raleigh, NC · On-site

$72K - $95K/yr

AAS or higher in Engineering, Computer Science or related discipline. * Knowledge of relational ... S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have ...

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Showing results 21-40

All JobsPermanent Data Engineer C2C JobsPermanent Data Engineer C2C Jobs in Raleigh, NC

Permanent Data Engineer C2C information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Sep 9, 2026, the average yearly pay for permanent data engineer c2c in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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 Raleigh, NC?

The most popular types of Data Engineer C2C jobs in Raleigh, NC are:

What are popular job titles related to Permanent Data Engineer C2C jobs in Raleigh, NC?

For Permanent Data Engineer C2C jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Permanent Data Engineer C2C jobs in Raleigh, NC look for?

The top searched job categories for Permanent Data Engineer C2C jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Permanent Data Engineer C2C jobs?

Cities near Raleigh, NC with the most Permanent Data Engineer C2C job openings:

Permanent Data Engineer C2C jobs near you
Infographic showing various Permanent Data Engineer C2C job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Senior ETL Test Engineer

Raleigh, NC • On-site

UnitedHealth Group
Insurance Services • 10K+ employees
Learn more about UnitedHealth Groupexternal

$91K - $163K/yr

Full-time

Retirement

Re-posted 15 days ago

Key responsibilities

  • Design, build, and maintain scalable data quality frameworks to validate enterprise data across multiple data domains

  • Develop and automate data quality checks and controls within a Databricks environment using SQL, Python, and PySpark notebooks

  • Validate Power BI datasets, dashboards, and metrics by ensuring data reconciliation, accuracy, and correctness

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

194th of 898 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Design, build, and maintain scalable data quality frameworks to validate accuracy, completeness, consistency, and timeliness of enterprise data across multiple data domains
  • Develop and automate data quality checks and controls using SQL, Python, and PySpark notebooks within a Databricks environment
  • Implement data validation, reconciliation, and anomaly detection logic across batch and streaming data pipelines
  • Embed automated data quality checks into ETL / ELT pipelines to enforce quality gates and prevent defective data from propagating downstream
  • Build reusable data quality automation components, libraries, and frameworks that can be consistently adopted across data engineering teams
  • Validate Power BI datasets, semantic models, and dashboards by ensuring:
    • Source-to-report data reconciliation
    • Metric and KPI accuracy
    • Aggregation, filter, and refresh correctness
  • Partner with reporting and analytics teams to validate Power BI measures, calculations, and business logic against certified data sources
  • Monitor and report on data quality metrics and trends, including dashboard-level data accuracy and consistency
  • Perform root cause analysis for data quality and reporting issues, collaborating with upstream data producers and downstream consumers to drive permanent fixes
  • Leverage AI-assisted data quality practices, including:
    • GenAI-based rule generation and test case creation
    • Intelligent anomaly detection and pattern recognition
    • Automated triage and summarization of data quality issues
  • Enable AIOps-style data observability, using AI-driven insights to proactively identify data drift, schema changes, and metric anomalies
  • Support governance and audit readiness by ensuring data quality controls, validations, and dashboard certifications are documented and traceable
  • Continuously improve data quality practices through automation, standardization, and AI-driven enhancements, reducing manual validation effort
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or IT related field
  • 5+ years of experience in data quality engineering, quality engineering, or data engineering roles with a strong focus on automation and frameworks with a solid understanding of data quality dimensions (accuracy, completeness, consistency, timeliness, validity)
  • 5+ years of experience with SQL for data profiling, reconciliation, and validation
  • 5+ years of experience implementing automated data quality frameworks embedded within ETL / ELT workflows
  • 3+ years of experience in Python and PySpark, including building reusable notebooks and automation frameworks
  • 3+ years of proven experience working in a Databricks environment, supporting large-scale data pipelines and analytics platforms
  • 2+ years of hands-on experience validating Power BI datasets, dashboards, KPIs, and metrics against source systems

Preferred Qualifications:
  • Strong communication skills with the ability to translate business reporting requirements into technical quality controls

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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