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Full Stack Data Engineer Jobs in Bluffton, SC (NOW HIRING)

Traffic Engineer

Savannah, GA · On-site

$63K - $111K/yr

... full potential. Unleash your talent and redefine what's possible. Parsons has a great career ... Analyze crash data and develop safety improvement recommendations under supervision. * Design ...

... full potential. Unleash your talent and redefine what's possible. Parsons has a great career ... Analyze crash data and develop safety improvement recommendations under supervision. * Design ...

Project Engineer III

Savannah, GA · On-site

$72 - $99/hr

Full timeposted on: Posted Yesterdayjob requisition id: 25876# At GAF, we cover more than just ... Ability to translate technical data for operations and maintenance personnel.* Exposure to process ...

Rather than performing full transmission line design, the Senior Application Engineer will have ... They should be able to break down problems into smaller components, conduct research, gather data ...

Showing results 41-60

Full Stack Data Engineer information

See Bluffton, SC salary details

$41.5K

$125.6K

$177.5K

How much do full stack data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full stack data engineer in Bluffton, SC is $125,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

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

Infographic showing various Full Stack Data Engineer job openings in Bluffton, SC as of June 2026, with employment types broken down into 3% As Needed, 59% Full Time, 28% Part Time, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,559 per year, or $60.4 per hour.

RMAC Applications Engineering Lead

Bostondynamics

Savannah, GA • On-site

$177K - $221K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

As the RMAC Applications Lead, you will lead the primary engineering team at the Robotic Mobile Application Center (RMAC), responsible for leading the team that drives the transition of the Atlas humanoid robot into production-level automotive manufacturing.

This is a high-impact leadership role that combines the strategic responsibilities of a Fleet Operations Robot Captain with the technical oversight of data collection curriculum design and site integration. You will manage a team of Applications Engineers to ensure the RMAC fleet remains "mission-ready" while architecting the playbooks that define how Atlas learns complex sequencing and assembly tasks.

Key Responsibilities

1. Team Leadership & Strategic Coordination

  • Manage and mentor a team of Applications/Integration Engineers to ensure day-to-day operations align with Boston Dynamics' product strategy and automotive industry requirements.

  • Act as the primary technical bridge between the Atlas Engineering and Product teams and local Operations/Hardware SMEs.

  • Collaborate directly with the Atlas product and behavior teams to implement best practices and provide critical field feedback on system performance and usability.

  • Coordinate with HMGMA and Glovis stakeholders on data and workflow integration of Atlas products

2. Data Architecture & Curriculum Design

  • Lead the process development for consistent collection of high quality data and creation of test scenarios executed by the onsite robot operations team.

  • Own the creation of detailed playbooks for data collection, ensuring that all generated data meets QA standards for the 10,000-hour collection goal.

  • Define success criteria and oversee the execution of Operational Level Testing (OLT) and Factory Acceptance Testing (FAT) for behavior policies.

  • Playbook Development: Ensure that playbook creation process and content maintains alignment across Atlas operations within BD and at partner sites

  • Pilot Coaching & Evaluation: Provide expert feedback and coaching to Robot Pilots on best techniques; partner with the annotation team to identify and correct poor piloting trends.

3. Fleet Mission Control (Robot Captain)

  • Serve as the mission lead for robot health, uptime, and hardware utilization across the RMAC fleet.

  • Oversee high-level technical triage, localizing complex system failures across hardware and software boundaries to determine escalation paths.

  • Prioritize the daily experiment queue to maximize hardware throughput and balance progress with operational risk.

  • Coordinate with onsite HW support and Waltham-based engineering to resolve systemic field issues and track fleet reliability metrics (MTBF, MTBR).

4. Site Integration & Deployment

  • Develop the processes and practices required to integrate Atlas into active automotive manufacturing environments.

  • Oversee site-level solution architecture, including the management of secure network infrastructure for robust system connectivity.

  • Facilitate pilot execution in HMGMA facilities once applications have successfully passed OLT.

Desired Skills & Qualifications
  • Education: Bachelor's or Master's Degree in Robotics, Computer Science, Electrical Engineering, or a related technical field.

  • Experience: 5-7+ years of professional experience in robotics operations, systems engineering, or field application engineering, with at least 2 years in a lead or supervisory capacity.

  • Technical Proficiency:

    • Deep understanding of robotics systems, including software stacks, controls, and electromechanical hardware interfaces.

    • Expertise in Linux (Ubuntu), networking telemetry, and reading/interpreting Real-Time (RT) code.

    • Proficiency in Python, C++, or scripting for automating workflows and troubleshooting.

    • Mastery of JIRA for issue tracking and Tableau for data-driven monitoring.

  • Communication: Exceptional ability to translate high-level R&D concepts into actionable information for executive stakeholders and daily operators.

Travel & Availability
  • Ability and willingness to travel domestically to other potential Atlas deployment sites or to Boston Dynamics HQ

  • Ability to support a multi-shift operation (6am-2pm and 2pm-10pm) as needed to ensure fleet continuity.

The pay range for this position is between $177,207.64 to $221,509.55 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 an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.