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Remote Data Engineering Jobs in North Carolina (NOW HIRING)

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida. We are seeking an experienced Lead Data Engineer to join our Data ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida. We are seeking an experienced Lead Data Engineer to join our Data ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking an experienced Senior Data Engineer to join our Data ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking an experienced Senior Data Engineer to join our Data ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in North Carolina

Remote Data Engineering information

See North Carolina salary details

$40.4K

$117.9K

$161.3K

How much do remote data engineering jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data engineering in North Carolina is $117,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in North Carolina?

The most popular types of Data Engineering jobs in North Carolina are:

What are popular job titles related to Remote Data Engineering jobs in North Carolina?

For Remote Data Engineering jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in North Carolina look for?

The top searched job categories for Remote Data Engineering jobs in North Carolina are:

What cities in North Carolina are hiring for Remote Data Engineering jobs?

Cities in North Carolina with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in North Carolina as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $117,886 per year, or $56.7 per hour.

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

Alliance

Morrisville, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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