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Python Data Developer Jobs in South Carolina (NOW HIRING)

Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data ... Collaborating with engineering, project management, and consultancy teams to understand ...

The AI Engineer will work closely with data scientists, data engineering, enterprise architecture ... Strong proficiency in Python and experience developing APIs, backend services, and automation ...

Document data engineering processes, procedures, and standards for future reference. Communicate ... Proficiency in using Python and common AI/ML libraries and frameworks * Experience with SQL and ...

New

Document data engineering processes, procedures, and standards for future reference. Communicate ... Proficiency in using Python and common AI/ML libraries and frameworks * Experience with SQL and ...

Markit EDM Developer

Fort Mill, SC · On-site

$55 - $60/hr

Proficiency in Python or Spark-based data processing. Responsibilities: * Lead design and ... Azure DevOps. * Use Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Build and maintain data pipelines and AI systems. Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other ...

AI Engineer

Ladson, SC

$111K - $134K/yr

Build and maintain data pipelines and AI systems. Collaborate with engineering and operations teams to integrate AI solutions into existing systems using Java, Python, R, SAS, VBA, and other ...

NodeJS Application Developer

Columbia, SC · On-site

$41.75 - $54/hr

The Full Stack Developer will be responsible for the end-to-end development of NodeJS and Python applications and their integration into mainframe environments to support high-volume data processing.

Senior ETL Developer (Azure & MDM/Reltio Focus)

Duncan, SC · On-site

$50.75 - $63/hr

We are seeking an experienced Senior ETL Developer to design, build, and optimize scalable data ... Python and/or PySpark * REST APIs and data integration patterns * Hands-on experience with Reltio ...

Data Quality Engineer, AI Business

North, SC · On-site

$106K - $127K/yr

Data Quality Engineer, AI Business Team: Client Services Prolific Prolific isn't just enabling AI ... Build and deploy automated quality checks and launch gates using Python and SQL, such as schema and ...

What you will be doing In addition to the core Data Science and ML Engineering Team, you will work ... Proficient in Python (preferred) and/or R Preferred: * Financial sector experience. * Preference in ...

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Python Data Developer information

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 Python Data Developers?

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 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:

Full-time

Posted 7 days ago


Job description

Role summary: As a Data Analyst, you will transform complex data into clear, meaningful insights that support decision-making across the business. Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross-functional teams to deliver accurate, actionable analysis within a highly regulated engineering environment.

What you will be doing:

  • Developing clear, insightful, and visually engaging dashboards, reports, and data visualisations using Power BI to support informed decision-making.

  • Analysing and manipulating data using SQL and Python to identify trends, patterns, and actionable insights.

  • Supporting the definition and refinement of key performance indicators (KPIs) and metrics to track business and technical performance.

  • Collaborating with engineering, project management, and consultancy teams to understand requirements, shape analytical approaches, and communicate findings.

  • Monitoring data quality, identifying anomalies, and implementing controls to maintain data accuracy, consistency, and integrity.

  • Providing training, guidance, and ongoing support to users of data platforms and analytics tools.

Formal qualifications or training:

  • We’d love to hear from you if you have hands-on experience in data analysis, manipulation, and visualisation. Strong experience using a Microsoft data technology stack (including Power BI and SQL) is essential, with working knowledge of Python for analysis and automation highly desirable.

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Our dedicated team collaborates with clients to positively influence projects across Defence, Decommissioning and New Builds. Having doubled in headcount year-on-year, over the past two years, we continue to welcome new, talented individuals to our team.

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