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Python Data Developer Jobs in South Carolina (NOW HIRING)

Python API Engineer

Fort Mill, SC · On-site

$106.10 - $176.90/hr

Job Overview The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration organization, responsible for building and supporting scalable cloud-native solutions ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Data Scientist

Charleston, SC · On-site

$90 - $140/hr

Programming: strong Python and SQL skills for building models and analyzing data, with hands‑on experience using common libraries (e.g., pandas, scikit‑learn). * Artificial Intelligence: baseline ...

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks ... Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high ...

Data Engineering Lead- Finance

Greenville, SC · On-site

$107K - $129K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL * Familiarity ...

Data Operations Engineer

Greenville, SC · On-site

$107K - $129K/yr

Develop scripts and tools (Python, SQL, Bash, etc.) to streamline operations * Contribute to CI/CD pipelines for data infrastructure Collaboration & Governance * Partner with data engineers to ...

Data Operations Engineer

Greenville, SC · On-site

$100K - $121K/yr

Develop scripts and tools (Python, SQL, Bash, etc.) to streamline operations * Contribute to CI/CD pipelines for data infrastructure Collaboration & Governance * Partner with data engineers to ...

Data Engineer

Charleston, SC · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Rock Hill, SC · On-site

$99K - $119K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Conway, SC · On-site

$106K - $127K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Scientist

Greenville, SC · On-site

$45.96 - $50.96/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 ...

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 ...

Showing results 21-40

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:

Python API Engineer

LPL Financial LLC

Fort Mill, SC • On-site

$106.10 - $176.90/hr

Other

Medical, Retirement, PTO

Posted 20 days ago


LPL Financial rating

7.4

Company rating: 7.4 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

119th of 151 rated financial services


Job description

Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Job Overview

The Senior Software Engineer (Python / AWS) is a key member of the Data Modernization & Integration organization, responsible for building and supporting scalable cloud-native solutions that enable critical business platforms and enterprise integrations. This role combines Python development, AWS cloud engineering, API integration, automation, observability, and production support. The engineer will develop and maintain Python-based services and REST APIs, support cloud migration initiatives, implement monitoring and resiliency solutions, and help drive operational excellence across AWS-hosted applications.

The ideal candidate brings strong experience with Python, REST APIs, AWS services (Lambda, API Gateway, CloudWatch), Terraform, CI/CD pipelines, and enterprise application support. Success in this role requires close collaboration with platform, data, security, middleware, and application teams to deliver reliable, secure, and scalable solutions while modernizing legacy capabilities.

ResponsibilitiesAPI Engineering & Application Development
  • Design, develop, and maintain Python‑based REST APIs that support business‑critical workflows.
  • Build APIs using AWS Lambda and Amazon API Gateway, following API‑first and REST best practices.
  • Implement clean, testable, and well‑documented Python code suitable for enterprise production environments.
  • Optimize API performance, reliability, scalability, and error handling.
  • Ensure proper API versioning, contract stability, and backward compatibility.
Security & Access Management
  • Implement secure authentication and authorization mechanisms such as OAuth2, JWT, and IAM‑based access.
  • Enforce API security controls including request validation, throttling, rate limiting, and auditing.
  • Partner with security teams to ensure APIs meet enterprise security and compliance standards.
Automation & Infrastructure Engineering
  • Provision and manage AWS infrastructure using Terraform.
  • Create and maintain reusable Terraform modules for: API Gateway Lambda IAM roles and policies CloudWatch logging and monitoring
  • Ensure environment consistency across DEV, QA, UAT, and PROD.
CI/CD & Operational Excellence
  • Design and maintain CI/CD pipelines for build, test, and deployment of Python APIs.
  • Support automated testing, packaging, versioning, and release management.
  • Implement observability through logging, metrics, alerts, and tracing.
  • Participate in troubleshooting, root cause analysis, and production support activities.
Cross‑Team Collaboration
  • Collaborate closely with application teams, platform engineering, cloud, and security teams.
  • Align API design and implementation with enterprise architectural standards.
  • Actively contribute to code reviews, design discussions, and technical documentation.
  • Promote best practices and a culture of engineering excellence.
Strategic Influence
  • Influence API engineering standards, patterns, and best practices across the organization.
  • Contribute to architectural reviews and modernization efforts.
  • Help drive consistent, scalable, and maintainable cloud‑native API solutions.
What Are We Looking For?

We are looking for strong collaborators who deliver reliable, secure, and high‑quality API solutions in fast‑paced, team‑oriented environments.

Ideal candidates pursue technical excellence, act with integrity, and are motivated to build scalable platforms that enable business growth. We value continuous improvement, curiosity, and individuals who take ownership and pride in their work.

Requirements
  • Minimum of 7 years of experience in software engineering, cloud application engineering, API engineering, platform engineering, or related technical roles.
  • Hands‑on experience with Python development, REST APIs, AWS services (Lambda, API Gateway, CloudWatch, IAM, S3), and Terraform for Infrastructure as Code.
  • Experience developing, validating, supporting, or operating APIs and cloud‑native applications in large‑scale production environments.
  • Experience with CI/CD pipelines, Git‑based workflows, automated testing, and deployment automation tools such as Jenkins or GitHub Actions.
  • Working knowledge of SQL, data validation, data profiling, system integrations, and enterprise application support.
  • Core Competencies: API Design Mindset — builds clean, consistent, and consumer‑friendly APIs.
  • Builder Mindset — emphasizes automation, reuse, and simplicity.
  • Systems Thinking — understands how APIs integrate with distributed systems.
  • Collaboration — works effectively across engineering, security, and platform teams.
  • Ownership & Accountability — takes responsibility for design, delivery, and reliability.
  • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
Preferences
  • Strong understanding of application monitoring, observability, logging, alerting, resiliency, and operational support.
  • Experience troubleshooting production issues, conducting root cause analysis, and supporting release and deployment activities.
  • Experience collaborating across application, platform, cloud, security, middleware, and data engineering teams.
  • Financial services, wealth management, or banking industry experience preferred.
  • Strong understanding of authentication, authorization, and secure API design.
  • Experience with OAuth providers and identity platforms.
  • Familiarity with AWS SAM or Serverless Framework (tooling experience).
  • Exposure to event‑driven architectures (EventBridge, SNS/SQS).
  • Experience operating APIs in regulated or enterprise environments (financial services preferred).
  • Knowledge of observability tools such as CloudWatch, Dynatrace, Datadog, OpenTelemetry.
  • Experience designing reusable API frameworks or shared libraries.
Pay Range

$106,100.00 - $176,900.00

Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location.

Benefits
  • 401K matching
  • Health benefits
  • Employee stock options
  • Paid time off
  • Volunteer time off
  • and more
Company Overview

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor‑mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans.

The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.

For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.

Join the LPL team and help us make a difference by turning life’s aspirations into financial realities.

Information on Interviews

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum.

During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card.

Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.

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