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

Solid experience with PostgreSQL - writing queries, analyzing execution plans, and resolving data ... Ability to work independently and with distributed, international remote teams * Bachelor's degree ...

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... Model and evolve the data behind availability, pricing, and reservations * Own the performance ...

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... Model and evolve the data behind availability, pricing, and reservations * Own the performance ...

Senior Backend Engineer

North, SC · Remote

$140K - $160K/yr

Location: Remote How You'll Make an Impact: As a Senior Backend Engineer on the Booking Engine ... Model and evolve the data behind availability, pricing, and reservations * Own the performance ...

Staff Forward Deployed Engineer

North, SC · On-site +1

$100K - $500K/yr

This role is remote, based out of North America, with preference near one of our main hubs: Santa ... You bring feedback in the form of pull requests, reproducible code, benchmarks, and telemetry data.

Connector Product Design Engineer

Columbia, SC · On-site +1

$119K - $143K/yr

Columbia, SC; or remote/hybrid arrangements based on experience and business needs. Design the Next ... data, power delivery, cable systems, and next-generation electronic platforms. This is an ...

Connector Product Design Engineer

Columbia, SC · On-site +1

$119K - $143K/yr

Columbia, SC; or remote/hybrid arrangements based on experience and business needs. Design the Next ... data, power delivery, cable systems, and next-generation electronic platforms. This is an ...

Sr. Software Engineer I

North, SC · On-site +1

$113K - $149K/yr

We serve 1000+ global customers with our quality management and clinical data capture software ... Remote-first culture * Home Office stipend upon hire * Multiple Health insurance options (vision ...

Showing results 21-40

Remote Data Engineer information

See Lexington, SC salary details

$38.1K

$111K

$151.9K

How much do remote data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote data engineer in Lexington, SC is $111,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $117,700.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.

What are the most commonly searched types of Data Engineer jobs in Lexington, SC?

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

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Lexington, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,032 per year, or $53.4 per hour.

Database Developer (SQL) - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Contractor

Re-posted 23 days ago


Job description

Database Developer (SQL) Location: Remote Interview Process: 1 Round of Virtual Interviews Duration: 12 Months Employment Type: Contract Experience Required: 07+ Years Candidate location: No SC residency required. Open to Nationwide Candidates that are comfortable working EST Hours. Project Scope: Seeking an experienced Database Developer (SQL) to support critical public health data initiatives, including data warehouse modernization, data pipeline enhancements, disease surveillance system integrations, and electronic case reporting (eCR) solutions.

The consultant will play a key role in designing, developing, optimizing, and supporting complex database solutions, ETL processes, reporting systems, and data migration initiatives. The ideal candidate will have strong expertise in SQL Server, T-SQL development, ETL processes, SSIS, data warehousing, healthcare data integrations, and large-scale data management. This role requires close collaboration with database administrators, data integration teams, business stakeholders, and technical teams to deliver secure, scalable, and reliable data solutions.

Key Responsibilities: Design, develop, and maintain complex database solutions and data integration processes. Develop and optimize SQL stored procedures, advanced queries, and database performance. Design, build, and support ETL processes and data pipelines.

Develop, troubleshoot, and maintain SQL Server Integration Services (SSIS) packages. Support data warehouse initiatives, reporting solutions, and business intelligence requirements. Convert and modernize legacy data processes, including migration of SAS-based solutions.

Create and maintain process documentation, data flow diagrams, and technical specifications. Gather business requirements and perform gap analysis with stakeholders. Support disease surveillance systems, electronic case reporting (eCR), and healthcare data integrations.

Parse and process multiple data formats including XML, CSV, SOAP, and HL7 messages. Support data migrations, testing, validation, deployment, and post-production support activities. Monitor and troubleshoot production data processing and integration workflows.

Implement automation solutions to improve efficiency, reliability, and data quality. Assist with data classification, security compliance, and regulatory requirements. Provide technical leadership, best practices, mentoring, and guidance to team members.

Collaborate with vendors, business users, and technical teams to deliver project objectives. Required Skills & Experience: 3+ years of experience with Microsoft SQL Server T-SQL development. Strong expertise in stored procedures, advanced queries, debugging, and performance optimization.

3+ years of experience with ETL process development. 1+ year of experience with SQL Server Integration Services (SSIS). 3+ years of experience with report development and reporting solutions.

3+ years of experience with data warehousing and relational database design. 1+ year of experience working with HL7 v2.x messaging standards, including ORU messages. 3+ years of experience processing XML and structured data formats

3+ years of experience supporting Microsoft SQL Server 2016 or higher. Experience with healthcare data security requirements including HIPAA, PHI, PII, and related compliance standards. Strong experience in database troubleshooting, performance tuning, and process automation.

Preferred Skills: Experience managing and processing large-scale datasets exceeding 1TB. Requirements gathering, business analysis, and technical documentation experience. Public health, healthcare, or disease surveillance systems experience.

Experience with Statistical Analysis System (SAS). Knowledge of LOINC and SNOMED healthcare standards. Experience working with FASTQ files and demultiplexing processes.

Experience with R and RStudio. Familiarity with Electronic Disease Surveillance Systems (EDSS), eHARS, CDC reporting systems, or similar healthcare platforms. Experience with Electronic Case Reporting (eCR) integrations and workflows.

Power BI reporting and dashboard development experience. Education Bachelor's Degree in Computer Science, Information Technology, Data Management, or a related field, or equivalent combination of education and professional experience. Technical Environment Microsoft SQL Server 2016+ T-SQL SQL Server Management Studio (SSMS) SQL Server Integration Services (SSIS) ETL and Data Pipeline Development Data Warehousing Solutions Power BI HL7 v2.x Messaging XML, CSV, SOAP Healthcare Data Exchange Systems SAS Electronic Case Reporting (eCR) Healthcare Data Compliance Standards