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

Amteck, LLC

BIM Technician - Electrical

Columbia, SC · On-site +1

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Varsity Tutors

Python Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

PERFECTUS LABS LLC

Director of AEO

Columbia, SC · Remote

Remote (Central or Eastern Time Zone Required) Schedule: Mon-Fri, 8 AM - 5 PM EST or 9 AM - 6 PM ... Collaborate with leadership and engineering teams to shape the evolution of internal SEO/AEO ...

micro1 AI

Director of Biostatistics

Columbia, SC · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

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Showing results 41-60

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

Remote Data Engineer information

See North, SC salary details

$41.3K

$120.4K

$164.7K

How much do remote data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data engineer in North, SC is $120,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $127,600.00 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 cities near North, SC are hiring for Remote Data Engineer jobs?

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in North, SC as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $120,371 per year, or $57.9 per hour.

Quality Assurance Analyst (Medicaid)- Serena Changeman exp must - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Contractor

Re-posted 9 days ago

Job description

IT - Clemson University - Quality Assurance Analyst - Advanced Quality Assurance Analyst (QA Tester) - Medicaid Systems Location: Remote Duration: 12+ Months Employment Type: Contract (C2C / W2) Experience Required: 7+ Years Project Scope: This role supports the Medicaid system for the state of South Carolina by performing Quality Assurance (QA) and User Acceptance (UA) testing on software changes related to Medicaid data systems. The position is open due to ongoing and upcoming projects including system enhancements and upgrades such as DASH, translator upgrades, and UC4 automation processes. The project focuses on implementing federally and state-mandated updates to the Medicaid system.

Important: This is strictly a QA Testing role. It is not a Developer, Business Analyst, or Project Manager role. Key Responsibilities: Collaborate with project teams to test coding changes Develop test scenarios and detailed test cases Execute tests and analyze results Identify discrepancies between actual vs expected outcomes Assist with User Acceptance Testing (UAT) support Document business, process, and technical requirements Work closely with internal teams and contracted staff including Clemson support teams Provide clear written and verbal communication during testing cycles Required Skills & Experience: 4+ years experience creating test scenarios and test cases 4+ years experience with COBOL and JCL 4+ years running mainframe batch jobs and troubleshooting job errors 4+ years experience with Serena ChangeMan Experience supporting User Acceptance Testing (UAT) Ideal Candidate Profile Strong experience with mainframe environments Skilled in QA testing for legacy systems Comfortable working with COBOL/JCL batch processing Experience supporting government or healthcare systems is beneficial Sunshine Enterprise USA is an "Equal Opportunity Employer-Minorities, Females, Veterans and Disabled Persons".

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