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Remote Junior Python Developer Jobs in Summerville, SC

Data Engineer (Contract)

Charleston, SC · Remote

$117K - $140K/yr

Overview We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand ...

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Remote Junior Python Developer information

See Summerville, SC salary details

$21.5K

$79.8K

$123.4K

How much do remote junior python developer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote junior python developer in Summerville, SC is $79,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $78,000.00 per year, depending on experience, location, and employer.

What are some common challenges Remote Junior Python Developers face when starting out, and how can they overcome them?

Remote Junior Python Developers often face challenges such as effective communication with teammates, managing time independently, and understanding existing codebases. To overcome these, it's important to proactively ask questions during team meetings, use collaboration tools like Slack or Jira, and regularly review documentation and code. Setting a daily routine and seeking mentorship or code reviews from more experienced developers can also help accelerate learning and integration into the team.

What are Remote Junior Python Developers?

Remote Junior Python Developers are entry-level programmers who specialize in using the Python programming language to build and maintain software applications while working from a location outside the traditional office environment. Their responsibilities often include writing clean code, debugging, collaborating with team members online, and learning from more experienced developers. They typically work under supervision and are expected to have a foundational understanding of Python as well as good communication skills for remote collaboration.

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

To thrive as a Remote Junior Python Developer, you need a solid grasp of Python programming, basic knowledge of software development principles, and typically a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, code editors such as VS Code, and experience with frameworks like Django or Flask are commonly required. Strong problem-solving abilities, self-motivation, and effective written communication help you stand out, especially when collaborating remotely. These skills and qualities are vital for delivering reliable code, working efficiently in distributed teams, and adapting to evolving project requirements.

What is the difference between Remote Junior Python Developer vs Remote Python Developer?

AspectRemote Junior Python DeveloperRemote Python Developer
Required Experience1-2 years2+ years
SkillsBasic Python, understanding of frameworksAdvanced Python, multiple frameworks, APIs
Work EnvironmentEntry-level projects, mentorshipIndependent tasks, complex projects
CertificationsOptional, beginner coursesRelevant certifications preferred

The main difference between a Remote Junior Python Developer and a Remote Python Developer lies in experience and skill level. Junior developers are typically newer to the field, working on foundational tasks under supervision, while Python Developers have more experience, handling complex projects independently. Both roles are common in remote work environments across tech companies, but the seniority and responsibilities differ significantly.

What cities near Summerville, SC are hiring for Remote Junior Python Developer jobs? Cities near Summerville, SC with the most Remote Junior Python Developer job openings:

Data Engineer (Contract)

Anatta Design

Charleston, SC • Remote

$117K - $140K/yr

Contractor

Posted 29 days ago


Job description

Overview
We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand engagement for a senior-level professional who can design, build, and optimize scalable data infrastructure across analytics, marketing, and operational workflows.
The ideal candidate has deep expertise in BigQuery, dbt, and Looker, with hands-on experience modeling complex eCommerce data from platforms such as Shopify, Klaviyo, subscription systems (e.g., Loop), and 3PL providers
Key Responsibilities
• Design, build, and maintain scalable data pipelines using BigQuery and dbt
• Architect and optimize warehouse-first data models to support analytics, marketing, and operational reporting
• Develop and maintain Looker dashboards and semantic layers
• Integrate and transform data from Shopify, Klaviyo, Loop (subscriptions/returns) and 3PL systems (e.g., ShipHero, ShipBob, etc.)
• Build automated workflows for data ingestion, validation, and monitoring
• Implement best practices for data quality, governance, and documentation
• Leverage AI tools (LLMs, automation frameworks) to:
  1. Accelerate data transformation workflows
  2. Refactor and optimize SQL/dbt models
  3. Automate anomaly detection and QA processes
• Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data solutions
• Troubleshoot data discrepancies and provide root-cause analysis
• Recommend architectural improvements to improve performance, reliability, and scalability
Service Level Agreements (SLAs)
  • Response Time: Acknowledge requests within 24 hours
  • Critical Issues (P0): Immediate response and active resolution
  • Standard Requests: Timeline provided within 72 hours
  • Billing Model: Time & materials based on agreed scope and hours worked
Requirements
• 5+ years experience in data engineering within a modern cloud data stack
• Advanced experience with BigQuery, Dbt, SQL performance optimization
• Experience building and maintaining Looker dashboards and data models
• Strong understanding of:
  1. eCommerce metrics (AOV, LTV, churn, CAC, retention)
  2. Marketing attribution
  3. Subscription data structures
• Experience integrating and modeling data from (not exactly similar software would work) Klaviyo, Loop or similar subscription platforms, Shopify 3PL systems
• Experience implementing data quality checks and validation pipelines
• Strong written and verbal communication skills
• Ability to work independently with minimal oversight
Preferred Qualifications
  • Experience working with distributed or agency environments
  • Experience supporting DTC brands
  • Experience with marketing data pipelines (Google Ads, Meta, TikTok)
  • Experience building reverse ETL workflows
  • Familiarity with data ingestion tools (Fivetran, Daton, Airbyte, etc.)
  • Experience implementing AI-assisted data transformation workflows
  • Exposure to experimentation analytics (A/B testing frameworks)
Ideal Candidate Profile
We are looking for someone who:
  • Understands both technical architecture and business implications
  • Can move quickly in a project-based environment
  • Thinks in systems, not just SQL queries
  • Is comfortable leveraging AI tools to improve speed and efficiency
  • Has experience working across marketing, product, and operations data
The duties and responsibilities described here are not a comprehensive list and the scope of the job may change as necessitated by business demands. Anatta Design reserves the right to revise the job description as circumstances warrant.

Compensation Transparency & Pay Philosophy
At Anatta Design, we believe in fair and competitive compensation based on location. We post salary ranges in compliance with state requirements for U.S.-based roles, ensuring transparency for candidates in those regions. If you are applying from outside the U.S., please note that our pay scales are adjusted based on the cost of living and market conditions in each country.

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