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Data Processor Jobs in Cary, NC (NOW HIRING)

PiTech Solutions Inc

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Configure ingestion flows, transformations, and data processing pipelines using FDI/OUDI native orchestration. * Develop reusable transformation components to support City-wide data integration ...

Atash Enterprises, LLC

Power BI and Data engineer

Raleigh, NC · On-site

$111K - $133K/yr

Strong proficiency in Python or Scala for data processing. Required 3 Years Hands-on experience in developing efficient PL/SQL procedures Required 5 Years Experience with Programming and Scripting ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Apache Sparkproficiency(PySparkpreferred) and experience with distributed data processing, including building scalable pipelines andoptimizingperformance for large-scale datasets * Cloud data ...

FHR

A-82-Scala Developer 66129

Raleigh, NC · On-site

$51.50 - $66.75/hr

This mission-critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Apache Sparkproficiency(PySparkpreferred) and experience with distributed data processing, including building scalable pipelines andoptimizingperformance for large-scale datasets * Cloud data ...

Deloitte

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

... processes including implementing leading practice workflows, addressing deficits in quality, and ... Experience with data integration frameworks and orchestration tools. * Working knowledge of ...

Pwc

Data Engineer - Senior Manager

Raleigh, NC

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... processing techniques and solutions - Snowflake or Python; building data movement patterns using ETL/ELT tools; and migrating data between heterogeneous datastores using Snowflake, Python ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... processing techniques and solutions - Snowflake or Python; building data movement patterns using ETL/ELT tools; and migrating data between heterogeneous datastores using Snowflake, Python ...

Labcorp

Laboratory Specimen Processor

Durham, NC · On-site

$16 - $18.25/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Specimen Processor to join our team at RTP, NC. Work Schedule: Tuesday ...

FHR

MO 85- Power BI and Data engineer (806590)

Raleigh, NC · On-site

$111K - $133K/yr

Strong proficiency in Python or Scala for data processing. Required 3 Years Hands-on experience in developing efficient PL/SQL procedures Required 5 Years Experience with Programming and Scripting ...

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All JobsData Processor JobsData Processor Jobs in Cary, NC

Data Processor information

See Cary, NC salary details

$12

$19

$34

How much do data processor jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data processor in Cary, NC is $19.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.97 per hour, depending on experience, location, and employer.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a data processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.
More about Data Processor jobs

What are popular job titles related to Data Processor jobs in Cary, NC?

For Data Processor jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Data Processor jobs in Cary, NC look for?

The top searched job categories for Data Processor jobs in Cary, NC are:

What cities near Cary, NC are hiring for Data Processor jobs?

Cities near Cary, NC with the most Data Processor job openings:

Data Processor jobs near you
Infographic showing various Data Processor job openings in Cary, NC as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 59% In-person, 20% Hybrid, and 21% Remote job distribution, with an average salary of $41,417 per year, or $19.9 per hour.

Data Engineer

PiTech Solutions Inc

Durham, NC • On-site

$110K - $132K/yr

Full-time

Posted 5 days ago

Job description

Job Title: Data Engineer – Oracle Fusion & Data Platform Integration

Location: Durham, NC (Hybrid)

About the Role

We are seeking a Data Engineer to join our growing data team to help design, build, and extend our data platform. This will be a transformative modernization of its enterprise systems, including the implementation of Oracle ERP, HCM, and Utility Billing platforms, alongside Fusion Data Intelligence and Fusion Analytics Warehouse (FAW).

This role will be instrumental in enabling data extensibility, integrating third-party systems (e.g., Clariti on Salesforce, Esri GIS), and ensuring robust data governance and security practices across the data ecosystem.

This role will be instrumental in enabling data extensibility, integrating third-party systems (e.g., Clariti on Salesforce, Esri GIS), and ensuring robust data governance and security practices across the City’s data ecosystem.

Key Responsibilities

  • Design and implement ETL/ELT pipelines using Oracle Data Integrator (ODI), Oracle Integration Cloud (OIC), and Fusion Analytics extensibility frameworks.
  • Extend and customize Oracle Fusion Analytics data models to support city-specific reporting and analytics needs.
  • Integrate third-party data sources (e.g., Salesforce, Esri, legacy systems) into the Fusion Analytics Warehouse.
  • Collaborate with business analysts, application owners, and data stewards to define data requirements and ensure data quality.
  • Implement and enforce data governance policies, metadata management, and data lineage tracking.
  • Support the full software development lifecycle (SDLC) for data solutions, including requirements gathering, design, development, testing, deployment, and documentation.
  • Ensure data security and compliance with municipal, state, and federal regulations.
  • Monitor and optimize data pipelines for performance and reliability.

Qualifications

Required:

  • 5+ years of experience in data engineering, with a focus on Oracle technologies.
  • Strong experience with Oracle Fusion Applications (ERP, HCM, Utilities) and Fusion Analytics Warehouse (FAW).
  • Proficiency in Oracle Data Integrator (ODI), Oracle Integration Cloud (OIC), or similar ETL tools.
  • Solid understanding of data modeling, SQL, and performance tuning in Oracle environments.
  • Experience with data governance frameworks and tools (e.g., Collibra, Informatica, or Oracle Enterprise Metadata Management).
  • Familiarity with integrating cloud-based and on-premise systems, including Salesforce and Esri GIS.
  • Understanding of security best practices for data platforms, including role-based access control and data masking.
  • Experience working in Agile or hybrid SDLC environments.
  • Draft Scope Document: Data Engineering Engagement for Oracle FDI/OUDI Platform
  • 1. Purpose of Engagement
    The city seeks specialized data engineering support to accelerate the development, integration, and operationalization of the enterprise data warehouse built on Oracle Fusion Data Intelligence (FDI) and Oracle Utility Data Intelligence (OUDI). The engineer will work under the direction of the City’s Enterprise Data Architect to implement ingestion pipelines, expand semantic layer integration, and establish foundational operational practices for ongoing sustainability.
  • 2. Scope of Work
  • 2.1 Data Ingestion & Integration • Design and implement data pipelines connecting third‑party and internal systems to the FDI/OUDI environments.
    • Prioritized source systems include:
    – The City’s LDO (Licensing and Development/Planning) application
    – The City’s ERP system (Munis)
    – Additional departmental datasets identified during discovery
    • Evaluate available APIs, flat‑file exports, database connectors, or event‑based streams to ensure efficient and secure data movement.
    • Implement incremental and full-load ingestion patterns aligned with platform best practices.
    • Ensure all pipelines adhere to data governance, lineage, and metadata standards within FDI/OUDI.
  • 2.2 Fusion Semantic Model Connectivity
    • Enable and validate connectivity from custom and third‑party data into Oracle Fusion semantic models.
    • Assist in extending or mapping data to Fusion subject areas where applicable.
    • Implement necessary transformations to ensure data conforms to Fusion semantic layer structures and business definitions.
    • Support semantic model performance tuning and troubleshoot connectivity or conformance issues.
  • 2.3 ETL/ELT Development on FDI/OUDI
    • Configure ingestion flows, transformations, and data processing pipelines using FDI/OUDI native orchestration.
    • Develop reusable transformation components to support City-wide data integration patterns.
    • Leverage Oracle Cloud Infrastructure (OCI) components as needed (e.g., Object Storage, Data Integration, Data Flow).
  • 2.4 Data Modeling & Architecture Support
    • Translate business requirements, especially from LDO and Munis domains, into scalable data models.
    • Support development of enterprise‑level conformed dimensions and shared reference structures.
    • Collaborate with the City’s Data Architect to validate logical and physical designs.
  • 2.5 Environment Configuration, Automation & CI/CD
    • Assist with environment setup (dev/test/prod) for FDI/OUDI pipelines.
    • Implement CI/CD patterns for version control, deployment, and monitoring.
    • Create automated validation and regression testing processes where appropriate.
  • 3. Operational Policies & Sustainability Framework
  • The consultant will assist in defining or contributing to the following foundational operational policies:
  • 3.1 Data Pipeline Operational Policies
    • Standard naming conventions for datasets, pipelines, and transformations.
    • Pipeline scheduling standards and maintenance windows.
    • Error handling, retry logic, and escalation protocols.
  • 3.2 Data Quality & Governance Policies
    • Standard rules for data validation, profiling, and anomaly detection.
    • Documentation standards for lineage, data dictionaries, and stewardship assignments.
    • Recommended practices for tagging and classifying sensitive data.
  • 3.3 Security & Access Policies
    • Role‑based access standards for engineers, analysts, and operations staff.
    • Data segregation and least‑privilege guidelines for FDI/OUDI assets.
    • Secure handling of API keys, service accounts, and confidential data.
  • 3.4 Documentation & Knowledge Transfer Standards
    • Required artifacts for pipeline documentation, runbooks, and change logs.
    • Onboarding materials for future City data engineers.
    • Knowledge transfer sessions at project milestones and at project closeout.
  • 4. Deliverables
    • Functional ingestion pipelines for prioritized systems (LDO and Munis).
    • Mappings and integrations into the Oracle Fusion semantic models.
    • Data models supporting LDO and Munis subject areas.
    • Operational policy documentation.
    • Pipeline performance and optimization recommendations.
    • Knowledge transfer and training sessions for City technical staff.
  • 5. Engagement Expectations
    • The engineer will work in close partnership with City IT and business stakeholders.
    • Work will follow an agile delivery model with iterative review and acceptance.
    • Documentation and knowledge transfer are required at each major milestone.
    • All deliverables must conform to the City’s data governance, security, and architectural standards.

Preferred:

  • Experience with Oracle Cloud Infrastructure (OCI) services.
  • Knowledge of municipal operations or public sector data domains.
  • Familiarity with REST/SOAP APIs and data ingestion from external systems.