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Data Engineer Jobs in Bluffton, SC (NOW HIRING)

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

Data Analyst

Beaufort, SC ยท On-site

$81K - $95K/yr

Translate raw data into actionable insights to support leadership decision-making * Identify ... Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer) * Utilize ...

Data Analyst

Beaufort, SC ยท On-site

$81K - $95K/yr

Translate raw data into actionable insights to support leadership decision-making * Identify ... Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer) * Utilize ...

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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.

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

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

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.

Business Intelligence Developer - SQL & Data Integration

Bosun

Beaufort, SC โ€ข On-site

$35.18 - $41.97/hr

Full-time

Posted 9 days ago


Job description

Business Intelligence Developer - SQL & Data Integration

Location: Beaufort County, SC
Work Arrangement: Hybrid
Compensation: $35.18-$41.97 per hour
Schedule: Full-time

About the Opportunity

We are recruiting on behalf of a mission-driven public-sector organization seeking an experienced Business Intelligence Developer - SQL & Data Integration to join its data team.

This role sits at the intersection of data, technology, business process improvement, reporting, and automation. It is ideal for someone who enjoys looking at a manual or inefficient process and asking, "How can we make this work better through data and technology?"

You will work with data from existing systems and use SQL, Power BI, data integration, scripting, and automation to make information more connected, accurate, accessible, and useful across the organization.

This is more technical than a traditional Data Analyst position, but it is not a traditional Database Administrator or Data Engineer role. Rather than building or administering the organization's core source systems, you will work with available data, integrate information across systems, automate repetitive workflows, and create solutions that make day-to-day operations more efficient.

What You'll Do

In this role, you will:

  • Develop, write, and optimize SQL queries, views, stored procedures, and parameterized scripts to improve data access and operational workflows.
  • Work with existing database structures and available back-end data to develop reliable, scalable solutions for internal users.
  • Develop a strong understanding of existing systems, data structures, relationships, and dependencies.
  • Integrate data from systems that do not naturally communicate with one another.
  • Build and maintain Power BI dashboards, reports, data models, and visualizations that provide meaningful, actionable insights.
  • Use advanced DAX and Power Query capabilities to transform and model data.
  • Automate repetitive processes and workflows using tools such as Python, PowerShell, SQL, Power Query, or similar technologies.
  • Replace manual Excel-, Word-, and click-intensive processes with more efficient, technology-driven solutions.
  • Structure and prepare data so end users receive information in a usable format with minimal manual manipulation required.
  • Identify and resolve data discrepancies to maintain accuracy, reliability, and data integrity.
  • Evaluate existing business processes and identify opportunities to reduce unnecessary steps, manual effort, and duplication.
  • Collaborate with internal stakeholders to translate business needs into practical technical solutions.
  • Coordinate with external vendors regarding data transfers, integrations, security requirements, and technical issues.
  • Evaluate emerging technologies and recommend improvements that support efficiency and scalability.
  • Share best practices and technical knowledge with other members of the data team.

The organization is specifically looking for someone who can combine technical expertise with a strong understanding of how data supports real-world business operations.

What This Looks Like in Practice

Many of the organization's existing processes have historically required employees to export data, manipulate spreadsheets, sort information manually, or repeat the same steps each time a report or workflow is needed.

Your goal will be to reduce that manual effort.

Instead of simply creating another spreadsheet or macro, you may use SQL to organize and prepare the data earlier in the process, create an automated workflow, integrate data from multiple sources, or build a Power BI solution that gives users the information they need in a ready-to-use format.

The end goal is to allow employees to focus on the work that requires their expertise rather than spending time manually preparing data.

What We're Looking For

The successful candidate will bring real-world experience working with SQL, business intelligence, data integration, and automation.

Qualifications include:

  • Approximately 5+ years of experience in database development, ETL, data integration, business intelligence, data engineering, or a related area.
  • Intermediate-to-advanced SQL skills, including professional experience writing queries and working with relational databases.
  • Experience developing complex queries and working with database tables, relationships, views, stored procedures, and data transformations.
  • Strong Power BI experience, including data modeling, DAX, and Power Query.
  • Experience with ETL and data integration processes.
  • Experience using Python, PowerShell, or another scripting language for workflow or data automation.
  • Strong understanding of data quality, accuracy, consistency, and integrity.
  • Experience identifying inefficient processes and developing technical solutions to improve them.
  • Strong Microsoft Excel skills.
  • Familiarity with version-control tools such as Git.
  • Strong organizational and project-management skills.
  • Ability to manage multiple priorities in a changing environment.
  • Strong written and verbal communication skills.
  • Ability to explain technical concepts clearly to non-technical stakeholders.
  • Strong problem-solving skills, initiative, and personal accountability.

A bachelor's degree in Computer Science, Data Engineering, or a related field is preferred. Equivalent professional experience may also be considered. The original role criteria call for a related bachelor's degree or eight years of equivalent experience, along with at least five years of database development, ETL, or data-engineering experience.

You May Be a Great Fit If...

You are someone who understands that the best technical solution starts with understanding the business problem.

You enjoy asking questions such as:

  • Why are employees doing this manually?
  • Why are we moving the same information between systems over and over?
  • Can SQL prepare this data before it ever reaches Excel?
  • Can this workflow be automated?
  • Can Power BI provide users with what they need without rebuilding the same report each month?

You are comfortable working in an environment where systems may not always connect seamlessly and where you may need to develop creative solutions using the data and technical access available to you.

You also enjoy working with both technical and non-technical colleagues and can translate a business need into a practical data solution.

What This Role Is - and Isn't

This role is a hands-on technical position involving:

  • SQL development
  • Business intelligence
  • Power BI
  • Data integration
  • Workflow automation
  • ETL
  • Data quality
  • Business process improvement

This role is not primarily:

  • IT help desk or technical support
  • Database administration
  • Software engineering
  • Systems administration
  • Traditional data analysis focused only on reporting
  • Full-scale data engineering or database architecture

Instead, this person serves as the bridge between existing systems, available data, business processes, and the people who rely on that information.

Work Environment

This position is part of a collaborative data team and works with both internal stakeholders and external technology partners.

The role offers a hybrid work environment, but candidates should be located within reasonable proximity of Beaufort County, South Carolina. Candidates within the broader Beaufort, Charleston, Savannah, or Columbia region may be considered depending on their ability to meet in-person requirements.

This is not a fully remote, work-from-anywhere position.

The organization values people who demonstrate initiative, accountability, continuous learning, collaboration, and a willingness to find better ways of working. The successful candidate should be equally comfortable independently solving a technical problem and partnering with a colleague to understand why a current process is not working.

Compensation

The anticipated compensation range for this position is:

$35.18-$41.97 per hour

Actual compensation will be determined based on experience, qualifications, and alignment with the requirements of the role.

Employment Type: FULL_TIME