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

Data Analyst Sr- Level 3

Greenville, SC · On-site +1

$76K - $96K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data ... From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us. apply for ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us.

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us.

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us. apply for ...

F-16 Quality Engineer- Level 2

Greenville, SC · On-site +1

$64K - $82K/yr

... data/information to cross-functional teams. What's In It For You: From onsite to remote, we offer ... an engineering team to create a collaborative environment that allows for the establishment of ...

Senior Electrical Engineer

Greenville, SC · On-site +1

$101K - $131K/yr

The role is "remote" but will be supporting project work in the area. * Maintains clear knowledge ... Performs field tests & measurements, collects field data, as necessary. * Aids and support to ...

ETL Lead

Greenville, SC · Remote

$60 - $64/hr

Remote (Greenville, SC preferred; onsite required first week for training) Start Date: ASAP ... data engineering context. Strong production support background including performance tuning ...

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Remote Data Engineer information

See Greenville, SC salary details

$41.8K

$122K

$166.9K

How much do remote data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data engineer in Greenville, SC is $121,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 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 Greenville, SC? The most popular types of Data Engineer jobs in Greenville, SC are:
What job categories do people searching Remote Data Engineer jobs in Greenville, SC look for? The top searched job categories for Remote Data Engineer jobs in Greenville, SC are:
What cities near Greenville, SC are hiring for Remote Data Engineer jobs? Cities near Greenville, SC with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Greenville, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,971 per year, or $58.6 per hour.

Stream Restoration Engineer

Geosyntec Consultants, Inc.

Greenville, SC • On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Overview

Are you seeking an opportunity to improve the world around you through stewardship of precious natural resources?

We are looking for a mid-career Stream Restoration Engineer to be in one of our following offices: Charlotte, NC; Raleigh, NC; Asheville, NC; Greenville, SC; Johnson City, TN. This opportunity offers a Hybrid work schedule within one of the offices listed. Typical work efforts include planning, design and construction assistance services on various projects including ecosystem restoration, urban stream/wetland improvement, mitigation banking, riverine engineering, stormwater engineering, coastal resiliency, along with associated environmental permitting and compliance. 

Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Consistently ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, breadth of expertise, and exceptional client service. 

We invest in our people.  Each employee is unique, and your career at Geosyntec will be too.  We offer competitive pay and benefits, and well-being programs to support you and your family.

To Learn More Visit: http://www.geosyntec.com/careers/.

Essential Duties and Responsibilities
  • Directing multi-disciplinary project teams;
  • Performing and overseeing detailed fluvial geomorphic, sediment transport, biological, soil science, hydrologic and hydraulic studies;
  • Applying knowledge of CWA mitigation regulations and standard operation procedures (SOPs) for the establishment of stream and wetland mitigation banks within the U.S. Army Corps of Engineers Savannah, Mobile, Charleston, Wilmington, and Nashville Districts;
  • Leading and conducting field investigations and providing construction support services;
  • Developing construction documents, including engineering drawings and technical specifications;
  • Applying and/or directing innovative hydrologic and hydraulic modeling software, from 1-D to 3-D hydrologic, sediment transport and/or morphodynamic models;
  • Interacting with client representatives;
  • Project-level responsibility for scoping, performing, managing and delivering multiple concurrent project assignments;
  • Consistent with our sell-manage-do business model, play a role supporting lead generation, business development, staff development, and mentoring; and
  • Help broaden our reputation via publishing and visibility at prominent industry conferences.
  • Drive personal, company, and rental vehicles to client or company project or office sites, and other business locations, as needed.
Education and Licensure
  • Bachelor's degree in civil, agricultural, biological, or biosystem engineering, natural resources science, hydrotechnical, with emphasis on water resources or closely related discipline. (required)
  • Advanced degree in geology, natural resources science, environmental or civil engineering, with emphasis on water resources or closely related discipline. (preferred)
  • Ability to obtain Professional registration (within 3 years) if not presently held (i.e., P.E., P.G., P.W.S., A.E., C.E., CERP, CPSS and/or CPSC). (preferred)
Skills, Experience and Qualifications
  • At least 5 years (7+ years preferred) of consulting experience in fluvial geomorphology, ecological restoration (riverine/wetland/riparian systems), soil science, biological monitoring, mitigation banking, and natural resources remote sensing; or equivalent combination of education and experience. (required) 
  • Experience planning, conducting field and desktop data collection, data analysis, and application in an engineering context to restore degraded stream/riverine and wetland systems (e.g., developing engineering plans for construction execution). (required)
  • Experience producing Mitigation Plans and/or Mitigation Banking Instrument documents, including related agency (USACE) coordination.(preferred)
  • Significant experience with conducting fluvial geomorphologic assessments in streams and riverine systems (including the various methodologies that can be employed) and using remote sensing GIS toolsets for related analysis. (preferred)
  • Experience with remote sensing/modeling/design tools such as ArcGIS Pro, ArcGIS Hydro, coding in Python (or other code languages), HEC-RAS (1D & 2D), groundwater flow (riparian zones) models, HydroCAD and AutoCAD Civil 3D.  (preferred)
  • Experience with a variety of unmanned aerial systems (UAS) for geospatial data collection (e.g., LIDAR, imagery, etc.) and possessing an FAA remote pilot license (Part 107) or willingness to attain and maintain license. (preferred)
  • Experience with the application of the theory of machine learning and/or artificial intelligence (AI) methods to natural resource data analysis and solution generation. (preferred)
  • Strong oral and technical writing skills. (required)
  • Valid U.S. driver's license and a satisfactory driving record for business travel. (required)

#LI-AO1

#LI-Hybrid#LI-Onsite

Employment Type: FULL_TIME