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Remote R Shiny Developer Jobs in South Carolina (NOW HIRING)

Air Modeler

Columbia, SC · Remote

$80K - $119K/yr

Programming and scripting experience in Python, R, BASH, or similar to automate modeling workflows ... remote Compensation Range: $80,000.00 - $119,000.00 As an EEO/Affirmative Action Employer, all ...

$69K - $158K/yr

Remote Work: No Job Number: R0243640 Location: Langley AFB,VA,US Share job via: Share Operations ... Experience with R, Python, SQL, or software programs that analyze data * Experience collaborating ...

... using a R&L tool as applicable, ensure all stakeholders provide their deliverables in time to ... Qualifications/Requirements Bachelor's degree in engineering, business or a related field from an ...

... using a R&L tool as applicable, ensure all stakeholders provide their deliverables in time to ... Qualifications/Requirements • Bachelor's degree in engineering, business or a related field from ...

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0242661 Location: Langley AFB,VA,US Share job via: Share Data ... Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL * Experience ...

Remote R Shiny Developer information

What are some common challenges faced by Remote R Shiny Developers when collaborating with distributed teams?

Remote R Shiny Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication regarding project requirements, and maintaining code consistency within a collaborative environment. To address these, teams typically rely on regular virtual meetings, shared documentation, and version control systems like Git. Building strong communication skills and being proactive in providing updates can help streamline teamwork and reduce misunderstandings, ultimately leading to more efficient project delivery.

What is a Remote R Shiny Developer?

A Remote R Shiny Developer is a software professional who specializes in building interactive web applications using the R programming language and the Shiny package, while working from a location outside of a traditional office setting. These developers are responsible for designing, coding, and maintaining Shiny apps that allow users to visualize and analyze data interactively. They often collaborate with data scientists, analysts, and business stakeholders to deliver solutions for data-driven decision making. Remote R Shiny Developers need strong skills in R programming, web development, and communication tools to work effectively in distributed teams.

What are the key skills and qualifications needed to thrive as a Remote R Shiny Developer, and why are they important?

To thrive as a Remote R Shiny Developer, you need strong proficiency in R programming, data visualization, and experience building interactive web applications with Shiny, often supported by a degree in computer science, statistics, or a related field. Familiarity with version control systems like Git, deployment tools such as Shiny Server or Docker, and knowledge of SQL databases are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in remote teams and deliver user-focused solutions. These skills ensure robust, maintainable applications and smooth teamwork in a distributed work environment.

What is the difference between Remote R Shiny Developer vs Data Analyst?

AspectRemote R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, software development teamsRemote or on-site, business intelligence teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

Remote R Shiny Developers focus on building interactive web applications using R and Shiny, often working in software or tech environments. Data Analysts analyze data sets to generate insights, typically using statistical tools and visualization software. While both roles may work remotely and require analytical skills, R Shiny Developers specialize in app development, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Remote R Shiny Developer jobs in South Carolina? For Remote R Shiny Developer jobs in South Carolina, the most frequently searched job titles are:
What job categories do people searching Remote R Shiny Developer jobs in South Carolina look for? The top searched job categories for Remote R Shiny Developer jobs in South Carolina are:
What cities in South Carolina are hiring for Remote R Shiny Developer jobs? Cities in South Carolina with the most Remote R Shiny Developer job openings:
Database Developer (SQL) - Contract - Remote

Database Developer (SQL) - Contract - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Contractor

Posted 5 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