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Remote Devops Jobs in Charleston, SC (NOW HIRING)

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

Remote /hybrid flexibility. Position Overview We are seeking a highly capable Data Engineer to design and build the data infrastructure that powers investment operations, reporting, and business ...

While this is a full remote position, there is preference for candidates located in the Northern ... operational and sustainable efficiency. We help customers keep resources in use for as long as ...

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... The United States is a key market for ABB, where it has significantly expanded its operations ...

Data Engineer

Charleston, SC · Remote

$108K - $130K/yr

... remote position. Responsibilities: * Analyzing use cases and high level requirements to define ... SECRET * 5 years of experience supporting corporate operations functions with data management and ...

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... developer who specializes in creating user interfaces for web applications, using modern ... What We Offer · Competitive salary and equity package · Flexibility with remote work (subject to ...

Showing results 21-40

Remote Devops information

See Charleston, SC salary details

$15

$57

$82

How much do remote devops jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote devops in Charleston, SC is $57.73, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $66.25 per hour, depending on experience, location, and employer.

What is a remote DevOps engineer?

A Remote DevOps engineer is a professional who works from a remote location to manage and automate an organization's IT infrastructure, development, and deployment processes. Their main goal is to bridge the gap between software development and IT operations, ensuring that software can be released quickly, reliably, and efficiently. Remote DevOps engineers use tools like CI/CD pipelines, configuration management, and cloud platforms to streamline workflows and improve system reliability. They collaborate with development and operations teams using online communication and project management tools.

How do remote DevOps professionals typically collaborate with development and operations teams across different time zones?

Remote DevOps professionals often use a combination of collaboration tools such as Slack, Jira, and Zoom to stay connected with development and operations teams. They rely heavily on clear documentation, version control systems, and automated workflows to ensure smooth handoffs and consistent processes across time zones. Regular stand-up meetings, asynchronous communication, and shared dashboards help maintain alignment on priorities and progress, making it possible to address incidents and deploy updates efficiently despite geographical differences.

What is the difference between Remote Devops vs Remote Cloud Engineer?

AspectRemote DevopsRemote Cloud Engineer
Required CredentialsCertifications like AWS, Azure, Docker, KubernetesSame certifications, with focus on cloud platforms
Work EnvironmentCollaborates with development and operations teams, manages CI/CD pipelinesDesigns and implements cloud infrastructure, manages cloud resources
Employer & Industry UsageTech companies, startups, enterprises focusing on deployment automationCloud service providers, SaaS companies, organizations migrating to cloud

Remote Devops and Remote Cloud Engineer roles share many certifications and work environments, but Devops focuses on automation and deployment pipelines, while Cloud Engineers specialize in cloud infrastructure design and management. Both are in high demand across tech industries, often overlapping in skills and responsibilities.

Can you work as a remote DevOps?

Yes, many DevOps roles can be performed remotely, especially those focused on cloud infrastructure, automation, and software deployment. Remote DevOps positions often require strong skills in tools like Docker, Kubernetes, and CI/CD pipelines, along with good communication and collaboration abilities. However, some companies may prefer on-site presence for certain tasks or team coordination.

Is 40 too old to learn remote DevOps?

Age is not a barrier to learning or working as a remote DevOps engineer. Success depends on acquiring relevant skills such as scripting, cloud platforms, and automation tools, which can be learned at any age through online courses and hands-on practice.

What are the most commonly searched types of Devops jobs in Charleston, SC?

The most popular types of Devops jobs in Charleston, SC are:

What are popular job titles related to Remote Devops jobs in Charleston, SC?

For Remote Devops jobs in Charleston, SC, the most frequently searched job titles are:

What job categories do people searching Remote Devops jobs in Charleston, SC look for?

The top searched job categories for Remote Devops jobs in Charleston, SC are:

What cities near Charleston, SC are hiring for Remote Devops jobs?

Cities near Charleston, SC with the most Remote Devops job openings:

Infographic showing various Remote Devops job openings in Charleston, SC as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 79% Physical, 7% Hybrid, and 14% Remote job distribution, with an average salary of $117,827 per year, or $56.6 per hour.

Data Engineer

KORE1 Technologies

Charleston, SC • On-site, Remote

$107K - $128K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago


Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Engineer that is based in Charleston, SC. Remote /hybrid flexibility. 

Position Overview
We are seeking a highly capable Data Engineer to design and build the data infrastructure that powers investment operations, reporting, and business intelligence capabilities. This is a foundational role within a firm actively modernizing its data architecture by replacing fragmented automations with scalable, production-grade pipelines and establishing a centralized, reliable source of truth across multiple systems.
The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling, data quality, and governance. This role requires deep technical expertise along with the ability to navigate a complex, multi-system financial data environment.
This position will play a central role in supporting the organization's evolving AI and analytics initiatives. The ideal candidate will help structure, govern, and optimize warehouse data to support future AI-enabled workflows and advanced reporting capabilities.
The Data Engineer will work closely with cross-functional teams including Operations, IT, business stakeholders, and external technology partners to ensure the data platform evolves in alignment with operational and strategic needs.
Key Responsibilities

Architecture & Infrastructure
* Evaluate and recommend scalable data architecture solutions, including warehouse and lakehouse strategies.
* Build and maintain a centralized cloud data warehouse environment.
* Design and maintain scalable ingestion pipelines across multiple operational and financial systems.
* Develop data structures and governance models that support analytics, reporting, and future AI-driven workflows.
* Ensure the data platform is designed with long-term scalability, security, and accessibility in mind.
Data Modeling & Transformation
* Design and implement canonical data models across financial and operational datasets.
* Write and optimize complex SQL queries, transformations, and performance-tuned data workflows.
* Replace manual or lightweight automations with production-grade ETL/ELT pipelines using Python and cloud-native tooling.
Integrations & APIs
* Build and maintain REST API integrations across third-party platforms and internal systems.
* Develop Python-based ingestion and transformation processes.
* Support orchestration and storage within a cloud environment using modern data engineering best practices.
Data Quality, Governance & Security
* Implement validation frameworks, deduplication logic, monitoring, and exception handling processes.
* Configure role-based access controls and maintain auditability across the data environment.
* Document and maintain end-to-end data lineage and governance standards.
* Support compliance and security requirements for sensitive financial and operational data.
Reporting & Documentation
* Deliver reporting-ready datasets supporting portfolio analytics, operational reporting, and business intelligence initiatives.
* Support BI tool integrations and semantic layer development for technical and non-technical users.
* Create and maintain documentation for architecture decisions, pipelines, and data dictionaries.
Cross-Functional Collaboration
* Partner closely with Operations, IT, and leadership teams to align data infrastructure with business goals.
* Participate in ongoing technology and systems planning initiatives.
* Act as a key liaison between technical and business stakeholders to ensure data solutions meet organizational needs.
Technical Requirements
* Advanced Python development for data engineering and automation
* Advanced SQL skills including performance optimization and complex transformations
* Strong experience with Snowflake or similar cloud data warehouse platforms
* Experience designing scalable data models and ETL/ELT pipelines
* REST API integration experience including authentication, pagination, and error handling
* Cloud platform experience, preferably AWS
* Strong understanding of data quality, governance, and access controls
* Ability to work cross-functionally in fast-paced environments
Preferred Skills
* Experience supporting AI or LLM-enabled workflows
* Financial services, private equity, asset management, or investment operations experience
* Familiarity with CRM, fund administration, or portfolio management platforms
* Experience with BI tools such as Tableau, Looker, or Sigma
Required Qualifications
* Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field
* 5+ years of experience in data engineering
* Strong production experience with Python and SQL
* Experience building scalable cloud-based data platforms
* Strong documentation and communication skills
Preferred
* Experience working with financial datasets and investment operations
* Exposure to AI-driven analytics or agent-based workflows
* Experience implementing enterprise reporting and business intelligence solutions

Core Competencies
* Ownership and accountability
* Strong analytical and systems thinking
* Cross-functional collaboration
* Clear communication with technical and non-technical stakeholders
* Adaptability in fast-paced environments
* High standards for governance, accuracy, and compliance
Location & Work Environment
This position is preferably based in the Southeast United States, though remote candidates may be considered for the right fit.
Compensation & Benefits
* Competitive compensation package
* Performance-based incentives
* Comprehensive health and retirement benefits
* High visibility with leadership and strategic initiatives
* Opportunity to help build foundational infrastructure within a growing organization



Compensation depends on experience but is typically 145-160k

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.