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Python Junior Jobs in Charleston, SC (NOW HIRING)

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

... mentor junior staff. You will design end-to-end ETL/ELT and analytics platforms using Databricks, Informatica, Python, SQL, and cloud services; set and enforce engineering standards; and engage ...

Write and maintain scalable, robust code utilizing C, C++, Python, and Assembly language. * Reverse ... Junior Level: Bachelors degree and two (2) years or more experience; four (4) years additional work ...

New

Jr. DevOps Engineer

Charleston, SC · On-site

$49.25 - $67.50/hr

Ruby, JavaScript, Python) * Experience with systemlogging (e.g. Logstash, Splunk) * Experience configuring and deploying Ruby & NodeJs web application stacks * Excellent communication skills via ...

Jr. DevOps Engineer

Charleston, SC · On-site

$49.25 - $67.50/hr

Ruby, JavaScript, Python) * Experience with systemlogging (e.g. Logstash, Splunk) * Experience configuring and deploying Ruby & NodeJs web application stacks * Excellent communication skills via ...

Work with cross-functional teams (developers, security analysts) and mentor junior engineers while ... Expert-level Python, Bash, or PowerShell; experience with AWS SDKs and CLI. * Networking: Strong ...

Lead automation initiatives and provide guidance/mentoring to junior engineering staff ... Skilled in Python, Bash, or PowerShell, alongside tools like Ansible and AWS Systems Manager. * CI ...

Senior Network Designer

North Charleston, SC · On-site

$148.75 - $215K/hr

Provide training and knowledge transfer to junior designers * Assist in incident resolution, root ... Experience with network automation tools and scripting languages (python, Ansible) * Experience ...

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Python Junior information

See Charleston, SC salary details

$22.5K

$83.3K

$128.7K

How much do python junior jobs pay per year?

As of Aug 1, 2026, the average yearly pay for python junior in Charleston, SC is $83,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $81,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Python Junior developers during their first year on the job?

Python Junior developers often encounter challenges such as understanding large codebases, managing version control with tools like Git, and adapting to team workflows. They may also need to improve their debugging skills and learn to write clean, maintainable code that meets team standards. Regular communication with senior developers and proactively seeking feedback can help overcome these hurdles and accelerate professional growth.

What is the difference between Python Junior vs Python Developer?

AspectPython JuniorPython Developer
Required CredentialsBasic programming knowledge, often a diploma or bootcampMore experience, often a degree in CS or related field
Work EnvironmentEntry-level projects, supervised tasksFull project responsibilities, collaborative teams
Industry UsageInternships, junior roles in tech companiesMid-level roles across industries like finance, tech, healthcare

The main difference between a Python Junior and a Python Developer lies in experience and responsibilities. Python Juniors typically have basic skills and work under supervision, while Python Developers handle more complex tasks independently. Employers seek Python Juniors for entry-level positions, with opportunities to grow into full Python Developers as skills develop.

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

To thrive as a Python Junior, you need a good grasp of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or a related field. Familiarity with version control systems like Git, code editors (e.g., VS Code), and basic understanding of frameworks such as Django or Flask is often expected. Strong communication, willingness to learn, and teamwork are important soft skills that set candidates apart. These skills and qualities are essential for effectively contributing to projects, collaborating with team members, and growing within a technical environment.

What are Python Juniors?

Python Juniors are entry-level software developers who specialize in using the Python programming language. They typically have foundational knowledge of Python and basic software development principles, and may work on tasks such as writing simple scripts, debugging code, or supporting more experienced developers on larger projects. Python Juniors are often recent graduates or individuals transitioning into software development, and their role offers opportunities to learn and grow their skills in real-world settings.
What are the most commonly searched types of Python jobs in Charleston, SC? The most popular types of Python jobs in Charleston, SC are:
What are popular job titles related to Python Junior jobs in Charleston, SC? For Python Junior jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Python Junior jobs in Charleston, SC look for? The top searched job categories for Python Junior jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Python Junior jobs? Cities near Charleston, SC with the most Python Junior job openings:
Infographic showing various Python Junior job openings in Charleston, SC as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $83,265 per year, or $40 per hour.

DATA SCIENTIST

SANTEE COOPER

Moncks Corner, SC • On-site

$84K - $105K/yr

Full-time

Posted 10 days ago


Santee Cooper rating

7.4

Company rating: 7.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Position Description:
Leads complex, enterprise-scale data engineering initiatives, architect cloud-native warehousing solutions, and mentor junior staff. You will design end-to-end ETL/ELT and analytics platforms using Databricks, Informatica, Python, SQL, and cloud services; set and enforce engineering standards; and engage stakeholders to translate business requirements into robust, secure, and performant data products that power analytics, reporting, and ML workflows.
This position is responsible for architecting and delivering cloud-native data platforms and pipelines that provide reliable, governed, and scalable data to the enterprise. Data Engineer III leads migrations to modern cloud warehouses, defines and enforces best practices (ETL design, coding standards, security), and builds modular, reusable components for analytics/reporting/ML. The role optimizes throughput, latency, and reliability, establishes SLAs and observability, and mentors engineers to uplift team capability.
Operates with broad autonomy, collaborating with executive and technical stakeholders to translate requirements into engineering specifications, cost-aware architectures, and operational runbooks. Ensures data governance (lineage, catalog, privacy), compliance, and resilience, while driving continuous improvement across performance tuning, incident response, and reliability engineering.
Essential Job Tasks:
  • Architects and develops enterprise-scale cloud data pipelines and warehousing solutions.
  • Leads migration initiatives from legacy platforms to cloud-native data warehouses.
  • Defines and enforces ETL/ELT design standards, coding practices, and security controls.
  • Builds modular, reusable data components for analytics, reporting, and ML feature pipelines.
  • Optimizes pipeline performance (throughput, latency, reliability) and establish SLAs/monitoring.
  • Provides technical leadership and mentor junior engineers; document frameworks and patterns.
  • Engages stakeholders; translate business requirements into engineering specs and roadmaps.
  • Governs data quality, lineage, and cataloging; ensure compliance with privacy/security policies.

*Will consider Data Scientist II or III
Position Requirements:
Data Scientist II
  • Bachelor's Degree in Computer Science, Engineering, or related discipline + 2 years experience or Master's Degree in Computer Science, Engineering, or related discipline + 1 year experience in data engineering (ETL/ELT, cloud warehousing, analytics) with advanced expertise in Databricks, Informatica, Python, SQL, and cloud data platforms.
  • Must have strong background in cloud data architecture, governance, performance optimization, and technical leadership/communication.
  • Must have experience in the following:
    • Languages and platforms: Proficient in Python and SQL; Databricks (notebooks/jobs) and Informatica (ETL/ELT).
    • Cloud platforms: Hands on with Azure/AWS/GCP; familiarity with storage, compute, IAM, networking basics.
    • Data warehousing: Modeling (dimensional/star), partitioning, Delta/Parquet, medallion architecture; performance tuning.
    • Orchestration and reliability: Job scheduling, retries, alerting; CI/CD basics for data pipelines.
    • Data governance and quality: Validations, profiling, data contracts, lineage/catalog documentation; adherence to privacy/security policies. Collaboration and delivery: Translate stakeholder requirements; produce clear documentation and reproducible code artifacts; manage SLAs.
  • Preferred experience in the following:
    • Orchestration: Airflow/Prefect, event-driven and batch scheduling; SCD patterns, CDC/streaming (Kafka/EventHub).
    • Platform components: Delta Live Tables, Feature Stores, Databricks SQL/Unity governance; Terraform/Bicep for infra-as-code.
    • Integration: APIs, semi-structured/unstructured data (JSON/Avro), file ingestion at scale; federated/virtualized query layers.
    • Domain: Utility/energy datasets (AMI, SCADA), compliance/governance in regulated environments.

Compensation Information:
$84,180 - $105,210 (min. - mid.)
Data Scientist III
  • Bachelor's Degree in Computer Science, Engineering, or related discipline + 5 years experience or master's degree in computer science, Engineering, or related discipline + 3 years experience in data engineering (ETL/ELT, cloud warehousing, analytics) with advanced expertise in Databricks, Informatica, Python, SQL, and cloud data platforms.
  • Must have strong background in cloud data architecture, governance, performance optimization, and technical leadership/communication.
  • Must have experience in the following:
    • Languages and platforms: Advanced Python and SQL; Databricks (Spark, jobs, Delta), Informatica (ETL/ELT).
    • Cloud architecture: Azure/AWS/GCP services for storage/compute/IAM/networking; cost-aware, secure designs.
    • Data warehousing: Dimensional/star modeling, Delta/Parquet, medallion architecture, performance tuning, partitioning/z-ordering.
    • Engineering excellence: CI/CD for data pipelines, environment management (conda/poetry), testing (unit/integration/data tests), observability (logging/metrics/alerts).
    • Data governance and quality: Unity Catalog (or equivalent), lineage, data contracts, DQ checks, privacy/security controls.
    • Leadership and collaboration: Stakeholder management, specification writing, mentoring, documentation of standards and runbooks.
  • Preferred experience in the following:
    • Orchestration: Airflow/Prefect, event-driven and batch scheduling; SCD patterns, CDC/streaming (Kafka/EventHub).
    • Platform components: Delta Live Tables, Feature Stores, Databricks SQL/Unity governance; Terraform/Bicep for infra-as-code.
    • Integration: APIs, semi-structured/unstructured data (JSON/Avro), file ingestion at scale; federated/virtualized query layers.
    • Domain: Utility/energy datasets (AMI, SCADA), compliance/governance in regulated environments.

Compensation Information:
$104,620 - $130,770 (min. - mid.)

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