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Remote Data Engineer Jobs in Summerville, SC (NOW HIRING)

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Senior Software Engineer - Frontend Web

North Charleston, SC · Remote

What We Offer · Competitive salary and equity package · Flexibility with remote work (subject to ... Company Description Data Driven Engineering, LLC (D2E) provides data management engineering and ...

ABB

Senior Project Engineer

Charleston, SC · Remote

$101K - $132K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

Blackbaud

TBM Product Owner

SC · Remote

$87K - $114K/yr

Partner with data engineering teams to enable automation and scalability * Act as the liaison ... Remote-flexible workforce * Wellness Programs * 401(k) program with employer match * Flexible paid ...

ABB

Strategic Segment Proposal Engineer

Charleston, SC · Remote

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Summerville, SC

Remote Data Engineer information

See Summerville, SC salary details

$39.9K

$116.4K

$159.2K

How much do remote data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data engineer in Summerville, SC is $116,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $123,400.00 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 Summerville, SC?

The most popular types of Data Engineer jobs in Summerville, SC are:

What are popular job titles related to Remote Data Engineer jobs in Summerville, SC?

For Remote Data Engineer jobs in Summerville, SC, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Summerville, SC look for?

The top searched job categories for Remote Data Engineer jobs in Summerville, SC are:

What cities near Summerville, SC are hiring for Remote Data Engineer jobs?

Cities near Summerville, SC with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Summerville, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,370 per year, or $55.9 per hour.

Senior Software Engineer - Frontend Web

HRSP SOLUTIONS

North Charleston, SC • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

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Job description

About the Role

We are seeking a highly skilled Senior Software Engineer with a focus on frontend web development to join our growing engineering team. In this role, you will take ownership of major features, mentor junior developers, and help shape the future of our web applications. You’ll work closely with product managers, designers, and backend engineers to deliver high-quality, scalable, and performant user experiences.

This position requires the ability to obtain and maintain a U.S. Secret or Top Secret security clearance with SCI (Sensitive Compartmented Information) eligibility. U.S. citizenship is required.

What is a Senior Software Engineer (Frontend)

  A Senior Frontend Engineer is an experienced developer who specializes in creating user interfaces for web applications, using modern technologies like JavaScript and frameworks such as React. They focus on optimizing performance, ensuring accessibility, and collaborating with design and backend teams to deliver engaging user experiences

Key Responsibilities

·         Design, develop, and maintain scalable and performant frontend applications using modern JavaScript frameworks (e.g., React, Vue, Angular).

·         Collaborate cross-functionally with product, design, and backend teams to define and implement innovative solutions.

·         Write clean, maintainable, and testable code that follows industry best practices.

·         Lead and mentor other frontend engineers through code reviews, pair programming, and technical guidance.

·         Drive technical decisions and contribute to architectural discussions.

·         Ensure the technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability.

·         Stay current with the latest trends and technologies in frontend development.

Required Qualifications

·         U.S. citizenship and eligibility to obtain a Secret or Top Secret clearance with SCI access.

·         B.S. degree or higher in Computer Science or related field such as E.E, Computer Information Technology, Math, Physics. Experience may substitute based on the requirements of the position.

·         A minimum of 5 years of professional experience in frontend development.

·         Strong proficiency in JavaScript, TypeScript, HTML5, and CSS3.

·         In-depth experience with at least one major frontend framework (e.g., React, Vue, Angular).

·         Familiarity with state management libraries (e.g., Redux, MobX).

·         Understanding of REST APIs and asynchronous data flows.

·         Experience with frontend build tools (e.g., Webpack, Babel, Vite).

·         Proficiency in writing automated tests (unit, integration, end-to-end).

·         Strong understanding of secure coding practices, accessibility, and performance optimization.

·         Dealing with client requirements.

Preferred Qualifications

·         Active Top Secret or TS/SCI clearance strongly preferred.

·         Experience working in classified or restricted environments (e.g., DoD, IC).

·         Familiarity with server-side rendering frameworks (e.g., Next.js).

·         Experience with design systems, component libraries, and Storybook.

·         Background in CI/CD pipelines, Docker, and cloud platforms (AWS GovCloud, Azure Government).

·         Familiarity with STIGs, RMF, or other federal compliance standards.

What We Offer

·         Competitive salary and equity package

·         Flexibility with remote work (subject to clearance and customer requirements)

·         Support for clearance processing and maintenance

·         Comprehensive health, dental, and vision insurance

·         401(k) with company match and generous paid time off and sick leave.

·         Mission-driven team culture supporting national security and innovation

Work Environment

  • Collaborative Agile development team supporting secure web application delivery.
  • May involve testing in multiple environments (Dev, Test, Integration).
  • Some testing may occur on classified or controlled networks.

Company Description

Data Driven Engineering, LLC (D2E) provides data management engineering and advanced technical services to federal and mission-focused organizations, leveraging data, domain expertise, and deep technical experience to deliver resilient capabilities and operational solutions.

D2E is a data management company that offers a data-driven lifecycle of services to model, manage, process, and store small to large amounts of data into structures that provide informational insight into common data processing challenges. We design and implement systems that operate in the cloud and on the edge allowing for information to freely flow from the command to the field. We are experienced engineers who design solutions that are extensible and scalable for present and future data challenges.