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Python Data Developer Jobs in South Carolina (NOW HIRING)

As a Data Engineer, you will design, implement, and optimize data systems and pipelines that enable ... Python, SQL, data modeling, APIs, data architecture. * Knowledge and skill with AI libraries. * BS ...

Data Engineer

Charleston, SC · Remote

$108K - $130K/yr

Gov Solutions Group is hiring talented Data Engineers! This role will be supporting the Naval ... Python, SQL, Data modeling, APIs Data * Knowledge and skill with AI libraries * BS degree in ...

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

Experience working with Data Engineers to ensure data requirements are correctly implemented; ability to build and maintain Python-based data pipelines for ETL, model training, and automated ...

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

... Python, PySpark, SQL * Strong experience with: * Spark and distributed processing * Real-time & streaming architectures * CDC frameworks * Data warehousing & dimensional modeling * CI/CD & DevOps ...

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Senior Data Engineer

Charleston, SC

$99K - $134K/yr

The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and ... DevOps and CI/CD practices, and ensuring data quality and governance standards are met. The ...

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and ... DevOps and CI/CD practices, and ensuring data quality and governance standards are met. The ...

Senior Data Engineer

Fort Mill, SC · On-site

$99K - $134K/yr

... Python / PySpark for metadata parsing and ETL automation • Strong experience with ETL Tools ... GitHub, Jenkins, or Azure DevOps Preferred : • Experience with BladeBridge or similar lineage ...

$18 - $50/hr

Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital engineering, PLM, or engineering data management concepts is a plus. * Strong communication ...

Showing results 41-60

Python Data Developer information

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

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

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in South Carolina?

For Python Data Developer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in South Carolina look for?

The top searched job categories for Python Data Developer jobs in South Carolina are:

What cities in South Carolina are hiring for Python Data Developer jobs?

Cities in South Carolina with the most Python Data Developer job openings:

Data Engineer - Mid-Level

Charleston, SC • On-site

Full-time

Posted 8 days ago


Job description

This role supports the Naval Research & Development Establishment (NR&DE) within the Decision Advantage Solutions Hub (DASH) Integrated Product Team (IPT). NR&DE includes 15+ warfare centers, NIWC Atlantic, University Affiliated Research Centers (UARCs), and a Federally Funded Research Development Center (FFRDC). The organization operates several Communities of Practice (CoPs), each focused on solving domainspecific challenges that often drive new analytics requirements.

As a Data Engineer, you will design, implement, and optimize data systems and pipelines that enable AI/ML applications for a Navy IT command. You will collaborate with AI/ML engineers and technical teams to ensure scalable, reliable data processing. This role applies modern data engineering practices to support machine learning deployment, enhance missioncritical operations, improve data quality, uphold security standards, and strengthen data workflows across the client's IT ecosystem.

Responsibilities:

  • Analyze use cases and highlevel requirements to define detailed requirements for data solution design and implementation.
  • Analyze and refine enterprise metrics and business rules with stakeholders; identify related data needs and sources.
  • Establish and update data architectures/models, data standards, transformations, and integrations.
  • Design, build, publish, refresh, and maintain reference materials defining terms, metrics, business rules, and similar artifacts for analysts and other consumers.
  • Provide automation through the development and deployment of modern softwareintensive solutions.

Required Qualifications:

  • 5 years of experience supporting corporate operations with data management and analysis.
  • 3 years of experience in data management, data analysis, and data visualization.
  • 3 years of Business Intelligence experience designing dashboards, reporting solutions, and integrations using the QLIK Advana reporting suite.
  • Experience designing varied data visualization techniques and selecting appropriate visuals for different audiences.
  • Experience with project planning, timeline/milestone recommendations, risk identification, crossfunctional collaboration, spreadsheetbased analytical modeling, and stakeholder communication.
  • Technical skills: Python, SQL, data modeling, APIs, data architecture.
  • Knowledge and skill with AI libraries.
  • BS degree in Physical Sciences, Computer Science, Mathematics, Psychology, Business Intelligence, Business Administration or Finance, Statistics, or Management Information Systems.

Salary: 95k+ to align with education and experience.