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Remote Data Engineer Jobs in Pittsboro, NC (NOW HIRING)

Tetra Tech

Civil Engineer III

Durham, NC · On-site +1

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

Tetra Tech

Senior Civil Engineer

Durham, NC · On-site +1

This position is remote and/or hybrid-friendly and can be performed from a wide range of locations ... This role will contribute to a diverse portfolio that includes federal, commercial, data center ...

Tetra Tech

Senior Civil Engineer

Durham, NC · On-site +1

This position is remote and/or hybrid-friendly and can be performed from a wide range of locations ... This role will contribute to a diverse portfolio that includes federal, commercial, data center ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Pittsboro, NC

Remote Data Engineer information

See Pittsboro, NC salary details

$31K

$90.5K

$123.8K

How much do remote data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data engineer in Pittsboro, NC is $90,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $95,900.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

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

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Pittsboro, NC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $90,489 per year, or $43.5 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 11 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

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