ZipRecruiter

Log In

1

Data Engineer Jobs in Bluffton, SC (NOW HIRING)

Accura Engineering

Geotechnical Engineer

Savannah, GA · On-site

Geotechnical Engineer Work Location: Atlanta, GA Salary: Based on experience and will be discussed ... Conduct site visits, field inspections, and data collection as needed. * Assist with permitting ...

Great Dane LLC

Engineer Systems Engineer I

Savannah, GA · On-site

Analyze user needs to determine engineering and product data requirements, CAD and PLM functional requirements, process, and data modeling to meet user needs. * Develop system queries and utilities ...

Stryker

Data Science Intern - Remote

Savannah, GA · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Stryker

Data Science Intern - Remote

Savannah, GA · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Great Dane LLC

Systems Engineer

Savannah, GA

Analyze user needs to determine engineering and product data requirements, CAD and PLM functional requirements, process, and data modeling to meet user needs. * Develop system queries and utilities ...

Great Dane LLC

Systems Engineer

Savannah, GA · On-site

$95 - $125/hr

Analyze user needs to determine engineering and product data requirements, CAD and PLM functional requirements, process, and data modeling to meet user needs. * Develop system queries and utilities ...

previous pagenext page

Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Bluffton, SC

Data Engineer information

See Bluffton, SC salary details

$41.5K

$120.8K

$165.4K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Bluffton, SC is $120,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Bluffton, SC as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $120,850 per year, or $58.1 per hour.

Data Operations Supervisor- 1st shift

Bostondynamics

Savannah, GA • On-site

$90K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Key responsibilities

  • Oversee contractors and internal employees responsible for ML annotation tasks, robot teleoperation, and building data assets.

  • Establish clear documentation for onboarding and training teams involved in data-related processes through structured learning programs and on-the-floor coaching.

  • Analyze and report shift performance to other stakeholders.

Job description

Boston Dynamics is a world leader in mobile robots, tackling some of the toughest robotics challenges. We combine the principles of dynamic control and balance with sophisticated mechanical designs, cutting-edge electronics, and next-generation software for high-performance robots equipped with perception, navigation, and intelligence.

The RMAC team plays a critical role in advancing this mission by delivering high-impact capabilities that enable scalable, reliable, and cutting-edge applications across our platforms. The Data Operations team on the Atlas Robot is responsible for collecting new data to train Atlas's brain. Individuals on the team will teleoperate robots, wear sensors while performing tasks, and other techniques. We are seeking a First Shift Supervisor, who will be responsible for the execution of a team of Data Operations associates from 6:30am - 3pm weekdays. Key KPIs for this role include hours of data collected/shift, yield and quality rate of data collected, and ensuring strong safety and operational excellence.

What you'll do in this role:

  • Oversee contractors and internal employees responsible for ML annotation tasks, robot teleoperation, and building data assets.

  • Establish clear documentation for onboarding and training teams involved in data-related processes through structured learning programs and on-the-floor coaching.

  • Develop and track KPIs for data quality, efficiency, and failure causes.

  • Interface directly with ML researchers and engineers to understand data requirements

  • Proactively identify bottlenecks and inefficiencies in the data pipeline, and work with Engineering and IT to develop improved solutions.

  • Track and manage the budget for the overall team.

  • Plan shift assignments based on data demand and personnel and equipment availability.

  • Ensure adherence to safety protocols.

  • Build and maintain physical space in cooperation with facilities and IT.

  • Analyze and report shift performance to other stakeholders.

  • Develop and deploy new SOPs as needed.

  • Trial new software, hardware, or processes.

What a candidate should bring:

  • Prior experience coaching and optionally managing individuals in a professional environment such as retail, construction, manufacturing, or logistics.

  • Data analysis skills, such as reviewing KPIs, building or using dashboards, and constructing spreadsheets.

  • Strong written and verbal communication skills. Email, chat, Jira, slide decks, and documents will all be part of the workflow.

  • Demonstrated history of operational excellence and continuous improvement.

  • Ideal candidates will have prior exposure to robotics, VR, and/or networking and IT technology.

  • Ideal candidates will also have experience with Google Workspace, Jira, and other tools

The pay range for this position is between $90,000 to $115,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and a annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

Apply