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Junior Python Backend Developer Jobs in South Carolina

MANTX -- JUNIOR SOFTWARE DEVELOPER Mantx is a fast-growing software startup building a modern ... Backend (Python) - SQL / relational databases - Google Cloud Platform (or comparable cloud ...

As a Senior Backend Engineer for our Investigator team, you will be a primary builder of the ... Backend Expertise: High proficiency in at least one core language (Python, Java, and/or Go) and ...

Sr. Java developer

Rock Hill, SC · On-site

$47.50 - $60.50/hr

Mentor team of junior developers * Experience in Level 3 production support. * Extensive hands-on ... Python core concepts and proficiency with its libraries and framework * Familiarity with ...

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Junior Python Backend Developer information

What does a junior Python backend developer do?

A Junior Python Backend Developer is responsible for writing server-side logic using the Python programming language. They work on building, maintaining, and optimizing the backend of web applications, often collaborating with frontend developers and other team members. Their daily tasks may include developing APIs, managing databases, debugging code, and ensuring the application runs smoothly and efficiently. As junior developers, they are also expected to learn best practices, follow coding standards, and continuously improve their skills.

What are the key skills and qualifications needed to thrive as a junior Python backend developer?

To thrive as a Junior Python Backend Developer, you need proficiency in Python programming, understanding of backend frameworks like Django or Flask, and a solid grasp of databases and RESTful API design, typically supported by a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, cloud platforms, and containerization tools such as Docker is often expected. Strong problem-solving skills, eagerness to learn, and effective teamwork make someone stand out in this role. These skills and qualities are crucial for building reliable backend systems, collaborating with teams, and adapting to evolving technical requirements.

What types of projects and tasks can a junior Python backend developer expect to work on during their first year?

As a Junior Python Backend Developer, you can expect to work on tasks such as building and maintaining RESTful APIs, writing automated tests, fixing bugs, and contributing to database design. You'll likely start with smaller components or features, collaborating closely with senior developers and front-end teams to ensure smooth data flow and application performance. Over time, you'll gain exposure to code reviews, deployment processes, and may gradually take on more complex assignments as you build your expertise and confidence.

What are the most commonly searched types of Python Backend Developer jobs in South Carolina?

The most popular types of Python Backend Developer jobs in South Carolina are:

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

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

Infographic showing various Junior Python Backend Developer job openings in South Carolina as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

AVP Software Engineer - Data Platform Engineering (Python/AWS)

Fort Mill, SC • On-site

LPL Financial
Finance and Insurance • 1 - 5K employees

Full-time

Medical, Retirement, PTO

Posted 11 days ago


LPL Financial rating

7.2

Company rating: 7.2 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

129th of 154 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:

This is a unique opportunity to help build and scale a strategic platform at the center of LPL's modern data ecosystem. The team is responsible for batch integration, data sourcing, data movement, and delivering trusted data products to downstream consumers across the enterprise.

As an AVP Software Engineer in Data Technology, you will play a key role in designing and developing highly scalable backend services, data processing capabilities, and monitoring solutions that support complex enterprise data pipelines. You will help build innovative capabilities to monitor, visualize, and analyze large-scale data flows while enabling intelligent detection of data quality issues, operational anomalies, and pipeline failures.

This role sits within the Connectics team, which is responsible for enterprise data integration, backend services, APIs, batch ingestion, and making trusted data assets available to downstream consumers across LPL's modern data platform. The primary focus is on building scalable Python-based services, integration frameworks, and cloud-native applications that enable data movement, access, and consumption across the organization.

The ideal candidate is a strong Python backend engineer with deep experience building data-intensive applications, cloud-native solutions, and modern data platform capabilities on AWS. While the role is primarily backend-focused, experience developing user interfaces with React is desirable.

Responsibilities:

  • Design, develop, and maintain scalable Python-based backend services supporting enterprise data integration, enrichment, validation, and distribution.

  • Build and enhance data pipeline frameworks supporting batch ingestion, transformation, orchestration, and downstream data consumption.

  • Develop cloud-native applications leveraging AWS serverless technologies including Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions.

  • Develop reusable integration patterns that simplify connectivity between source systems, data platforms, and consuming applications.

  • Improve observability, monitoring, and operational resilience across data pipelines and integration services.

  • Leverage AI-assisted development tools and modern engineering practices to improve code quality, productivity, troubleshooting, and documentation.

  • Collaborate with Data, AI, and Analytics teams to expose data and metrics that support machine learning and AI-driven use cases.

  • Troubleshoot and resolve performance, scalability, and reliability challenges across distributed systems and large-scale data workloads.

  • Work closely with stakeholders to understand their specific capabilities and needs and be able to think strategically on how to incorporate new capabilities into the system without creating one-off solutions.

  • Be a team player, continue learning and help teach new or junior members of the team.

What are we looking for?

We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.

Requirements:

  • Minimum of 7 years of professional software engineering experience, including deep expertise in Python backend development and experience with React and modern JavaScript frameworks.

  • Minimum of 5 years designing and building scalable backend services, REST APIs, and distributed systems in enterprise environments.

  • Minimum of 5 years developing cloud-native applications on AWS, with hands-on experience building and supporting production workloads.

  • Strong experience with AWS serverless technologies including Lambda, API Gateway, DynamoDB, EventBridge, SQS, and related services.

  • Experience building modern data platform solutions, including batch processing, data integration, data ingestion, and enterprise data distribution pipelines.

Core Competencies:
  • Strong Python engineering fundamentals, including application design, testing, performance tuning, and operational support.

  • Working knowledge of React and modern JavaScript frameworks for developing operational dashboards and user interfaces.

  • Experience building and integrating RESTful APIs and event-driven architectures.

  • Experience with CI/CD pipelines, automated testing, DevOps practices, and cloud-native delivery models.

  • Experience working within modern data platforms leveraging technologies such as Snowflake, Airflow, Databricks, or similar ecosystems.

  • Understanding of data integration, data observability, monitoring, and operational resilience concepts.

  • Understanding of how modern data platforms support analytics, machine learning, and AI-enabled workloads.

  • Ability to operate effectively in ambiguous environments and solve complex technical challenges.

  • Experience mentoring engineers, conducting code reviews, and contributing to engineering best practices.

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

  • This is ahybrid role, requiring onsite presence at an LPL Financial office2-3 days per week, as much of the team and leadership are based there.


Pay Range:

$127,100.00 - $211,900.00
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. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

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(6) , 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.


For further information about LPL, please visit www.lpl.com.


Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.


Information on Interviews:

LPL will only communicate with a job applicant directly from an@lplfinancial.comemail 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.


EAC 5.19.26


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