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Data Engineer Remote Contract Jobs in Raleigh, NC

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This is a 6 month, W2 , contract opportunity, with the chance of extension. This mostly ... Cross-layer fluency: backend, frontend, APIs, data, testing, or tooling * Strong written ...

New

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

Showing results 21-40

Data Engineer Remote Contract information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data engineer remote contract jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer remote contract 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 data engineer remote contract?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

What are the key skills and qualifications needed to thrive as a data engineer in a remote contract role?

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by data engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

What is the difference between Data Engineer Remote Contract vs Data Analyst Remote Contract?

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

What are the most commonly searched types of Data Engineer Remote jobs in Raleigh, NC?

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

What are popular job titles related to Data Engineer Remote Contract jobs in Raleigh, NC?

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

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

The top searched job categories for Data Engineer Remote Contract jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Engineer Remote Contract jobs?

Cities near Raleigh, NC with the most Data Engineer Remote Contract job openings:

Infographic showing various Data Engineer Remote Contract job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Dir-Data Platform Engineering (Full-time Remote, North Carolina Based)

Alliance Health

Morrisville, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

The Director-Data Platform Engineering is responsible for the strategic leadership, governance, and delivery of Alliance Health’s modern cloud based data engineering platform, replacing the legacy Enterprise Data Warehouse operating model.

The Director-Data Platform Engineering provides enterprise accountability for the design, development, operation, and continuous evolution of the data platform, ensuring secure, scalable, and high quality data products that support analytics, reporting, interoperability, regulatory compliance, and organizational decision making. The Director leads the Data Platform Engineering team and oversees the phased migration and sunset of legacy EDW capabilities as data domains transition to the modern platform.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.

Responsibilities & Duties

Data Platform Strategy and Enterprise Leadership

  • Define, own, and execute the enterprise data platform strategy and roadmap aligned with Alliance Health’s Data Modernization Initiative
  • Lead the transition from legacy EDW architecture to a cloud native Lakehouse and data engineering platform
  • Establish platform success metrics related to scalability, reliability, performance, cost management, and business value
  • Serve as the executive level authority for enterprise data platform direction and technical decision making

Organizational Leadership and Workforce Development

  • Lead and develop the Data Platform Engineering team, including the Cloud Data Architect, Lead Cloud Data Engineer, Cloud Data Engineers, Data Quality Engineer, Business Analyst, and Data Governance Analyst
  • Establish role clarity, career pathways, and performance expectations aligned with Alliance Health’s IT Job Architecture
  • Coach and mentor senior technical staff to strengthen leadership capability, engineering discipline, and platform ownership
  • Build a sustainable internal delivery model that reduces long term reliance on consultants

Engineering Governance and Technical Oversight

  • Establish and enforce enterprise standards for data ingestion, transformation, and serving layers, medallion and Lakehouse architecture patterns, CI/CD, DevOps, and environment management, and monitoring, observability, and production support
  • Provide oversight and approval for complex architecture and solution designs impacting the enterprise data platform
  • Ensure consistency of engineering practices across data domains and delivery teams

Data Quality, Security, and Regulatory Compliance

  • Ensure enterprise wide data quality standards, validation frameworks, and monitoring capabilities are implemented
  • Partner with Security, Compliance, and Governance teams to ensure adherence to HIPAA and HITECH requirements, data classification, encryption, access controls, and audit logging
  • Maintain accountability for platform stability, incident response, and root cause remediation

Program Delivery and Legacy EDW Sunset

  • Provide executive oversight for data domain migrations, analytics and reporting modernization, and decommissioning of legacy EDW assets
  • Manage cross functional dependencies, delivery risks, and sequencing of modernization activities
  • Ensure transparent reporting on delivery status, risks, and outcomes to executive leadership

Stakeholder Engagement and Executive Communication

  • Act as the primary liaison between IT leadership, business stakeholders, analytics teams, and external partners for data platform initiatives
  • Translate business and regulatory requirements into scalable technical capabilities
  • Communicate platform strategy, risks, progress, and outcomes to executive leadership

Minimum Requirements

Education & Experience

Required:

Bachelor’s degree in computer science or a related field, with six (6) years of experience with increasing responsibilities in data engineering, data architecture, or enterprise data platform leadership and three (3) years of experience in people management, platform governance, and cross functional delivery. Demonstrate experience leading enterprise scale data platforms on Microsoft Azure, including data Lakehouse or data warehouse modernization initiatives.

Experience should also include operating in regulated environments, preferably healthcare, with responsibility for data security, privacy, and compliance outcomes.

The following technical certification (or comparable) is required:

  • Databricks Certified Data Engineer Professional

Preferred:

Master’s degree in computer science or a related field, with five (5) years of progressively responsible experience in data engineering, data architecture, or enterprise data platform leadership preferred.

Any of the following or comparable technical certification is preferred:

  • Microsoft Azure Solutions Architect Expert
  • Databricks Certified Professional
  • Azure Security Engineer Associate (AZ 500)

Knowledge, Skills, & Abilities

  • Implementing and maintaining enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development
  • Python, SQL, PySpark, SQL, and modern data engineering frameworks
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical documentation skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Azure Platform Architect Accreditation

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date. 

Salary Range 

$131,191-$167,268/Annually 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity. 

An excellent fringe benefit package accompanies the salary, which includes:  

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility