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Remote Data Science Civil Engineering Jobs in Henderson, NC

Ontic

Work Transfer Specialist

Creedmoor, NC · On-site +1

For remote consideration, candidates must currently reside in one of the following approved states ... Bachelor's degree in Supply Chain, Engineering, Business, Manufacturing, or a related technical ...

All JobsData Science Civil Engineering JobsRemote Data Science Civil Engineering JobsRemote Data Science Civil Engineering Jobs in Henderson, NC

Remote Data Science Civil Engineering information

See Henderson, NC salary details

$41.7K

$121.5K

$166.2K

How much do remote data science civil engineering jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data science civil engineering in Henderson, NC is $121,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is a remote data science civil engineering?

A remote data science civil engineering job combines the principles of civil engineering with data science techniques, allowing professionals to analyze, model, and interpret complex engineering data from a remote location. These roles typically involve tasks such as data analysis, predictive modeling, simulation, and optimization to improve infrastructure design, construction, and maintenance. Professionals in this field use programming languages, statistical methods, and engineering software to solve real-world civil engineering problems, all while working outside of a traditional office environment.

How does a remote data science role in civil engineering typically interact with on-site engineering teams to ensure project alignment?

In a remote data science position within civil engineering, frequent collaboration with on-site engineering teams is essential to ensure data-driven insights align with practical project requirements. This is commonly achieved through regular video meetings, shared project management tools, and clear documentation of data methodologies and results. Remote data scientists often participate in cross-functional team discussions to translate complex analyses into actionable recommendations, bridging the gap between data insights and field implementation. Effective communication and proactive engagement are key to overcoming challenges posed by physical distance.

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

To thrive as a Remote Data Science Civil Engineer, you need a solid background in civil engineering principles, data analysis, and proficiency with programming languages like Python or R, often supported by an engineering degree and relevant certifications. Familiarity with software such as AutoCAD, GIS tools, data visualization platforms, and cloud-based collaboration systems is typically required. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively across virtual teams and translate data insights into practical engineering solutions. These capabilities are essential for leveraging data to drive innovation and efficiency in civil engineering projects while working remotely.

What is the difference between Remote Data Science Civil Engineering vs Remote Structural Engineering?

AspectRemote Data Science Civil EngineeringRemote Structural Engineering
Required CredentialsBachelor's or Master's in Data Science, Civil Engineering, or related fields; certifications in data analysis or civil engineeringBachelor's or Master's in Civil or Structural Engineering; PE license may be preferred
Work EnvironmentData analysis, modeling, and reporting using software like Python, R, or SQL; collaboration via online toolsDesign, analysis, and review of structural projects; remote collaboration with teams and clients
Employer & Industry UsageTech firms, consulting agencies, government agenciesConstruction firms, engineering consultancies, government agencies

Remote Data Science Civil Engineering focuses on data analysis and modeling within civil engineering projects, while Remote Structural Engineering emphasizes designing and analyzing structural components remotely. Both roles require engineering credentials but differ in daily tasks and software tools used.

Can I work remotely as a data scientist?

Remote data science roles, including those in civil engineering, are common and often involve analyzing large datasets, building models, and using tools like Python or R. Many companies offer remote positions with flexible schedules, but some roles may require on-site visits or collaboration, depending on project needs.

What cities near Henderson, NC are hiring for Remote Data Science Civil Engineering jobs?

Cities near Henderson, NC with the most Remote Data Science Civil Engineering job openings:

Remote Data Science Civil Engineering jobs near you
Infographic showing various Remote Data Science Civil Engineering job openings in Henderson, NC as of June 2026, with employment types broken down into 2% As Needed, 91% Full Time, 5% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $121,461 per year, or $58.4 per hour.

Senior Salesforce Administrator (Security & DevOps)

HRC Global Services

Virgilina, VA • Remote

Full-time

Re-posted 6 days ago

Job description

Job Title: Senior Salesforce Administrator (Security & DevOps)
Location: United States (Remote / Hybrid based on project needs)
Work Authorization: U.S. Citizen 
Clearance: Public Trust (Tier 2 / MBI) eligibility required
Employment Type: Full-Time 

About the Opportunity:
A leading federal technology program is seeking an experienced Senior Salesforce Administrator to serve as the Salesforce DevOps and security authority for a highly regulated enterprise platform. This role will oversee Salesforce CI/CD, security governance, release management, compliance, and environment strategy across multiple development teams while ensuring platform stability, scalability, and audit readiness.

Key Responsibilities:

  • Own and manage Salesforce DevOps CI/CD pipeline using Salesforce DX (SFDX), GitHub Actions, and source-driven deployments
  • Administer sandbox environments, refresh cycles, seed data, and release workflows
  • Implement and maintain Salesforce security configurations:
    • Profiles
    • Permission Sets
    • Sharing Rules
    • MFA
    • Session Security
  • Ensure compliance with FedRAMP, ATO, and federal security standards
  • Manage Salesforce release cycles and platform upgrades
  • Serve as primary administrator for OwnBackup data protection
  • Maintain deployment governance, code review standards, and rollback procedures
  • Monitor technical debt, platform health, and security posture
  • Participate in Agile / SAFe ceremonies

Required Qualifications:

  • Bachelor’s degree in Computer Science, IT, Cybersecurity, or related field
  • 8+ years Salesforce Administration experience
  • 3+ years Salesforce DevOps / Security Administration
  • Salesforce Administrator Certification
  • Salesforce Advanced Administrator Certification
  • Hands-on expertise with:
    • Salesforce DX
    • GitHub / GitHub Actions
    • Sandbox Management
    • Security Controls
    • OwnBackup
  • Strong understanding of Salesforce platform architecture, limits, and governance
  • Public Trust clearance eligibility

Preferred Qualifications:

  • Salesforce Platform App Builder
  • FedRAMP / Federal Salesforce environment experience
  • Salesforce Public Sector Solutions
  • ATO / NIST 800-53 exposure
  • Salesforce Shield
  • Copado / Gearset
  • Federal contract experience

Why This Role:

  • High-impact federal initiative
  • Advanced Salesforce DevSecOps environment
  • Long-term growth potential
  • Opportunity to work on secure, enterprise-scale digital transformation

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