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Python Data Developer Jobs in Blythewood, SC (NOW HIRING)

GreenGas

Logistics Engineer

Lugoff, SC · On-site

Freight Data Analytics: Extract, clean, and interpret massive freight datasets using SQL, Python ... Bachelor's degree in Industrial Engineering, Supply Chain Management, Logistics, Operations ...

GGH Services LLC

Logistics Engineer

Lugoff, SC · On-site

Freight Data Analytics:Extract, clean, and interpret massive freight datasets using SQL, Python, or ... Bachelor's degree in Industrial Engineering, Supply Chain Management, Logistics, Operations ...

Mobius Renewables

Logistics Engineer

Lugoff, SC · On-site

Freight Data Analytics: Extract, clean, and interpret massive freight datasets using SQL, Python ... Bachelor's degree in Industrial Engineering, Supply Chain Management, Logistics, Operations ...

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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How much do python data developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python data developer in Blythewood, SC is $46.77, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $53.12 per hour, depending on experience, location, and employer.

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 job categories do people searching Python Data Developer jobs in Blythewood, SC look for?

The top searched job categories for Python Data Developer jobs in Blythewood, SC are:

Python Data Developer jobs near you

Logistics Engineer

Lugoff, SC • On-site

GreenGas
Clean Energy Semiconductors Manufacturing • 1 - 10 employees
Learn more about GreenGasexternal

Other

Posted 23 days ago

Key responsibilities

  • Design and implement mathematical models to evaluate lane profitability, backhaul opportunities, and route patterns.

  • Extract, clean, and interpret freight datasets to identify transit bottlenecks and fuel inefficiencies.

  • Build and maintain performance dashboards to visualize key logistics metrics.

Job description

At Mobius Renewables, we’re helping lead the global energy transition by transforming waste into renewable energy and measurable decarbonization. We’re a fast-growing team of expert innovators, engineers, and problem-solvers committed to advancing global sustainability, fueling a circular economy, and creating a cleaner future for all. Join us and help shape the future of renewable energy.

Position Summary

We are seeking a data-driven and analytical Trucking Logistics Engineer to design and optimize our regional and national freight transportation networks. In this role, you will be responsible for evaluating lane performance, identifying cost‑saving opportunities, and utilizing advanced Transportation Management Systems (TMS) to build predictive routing models. You will work closely with fleet operations, safety compliance, and dispatch teams to ensure maximum asset utilization and superior on‑time delivery performance.

Key Responsibilities
  • Network Optimization: Design and implement mathematical models to evaluate lane profitability, backhaul opportunities, and multi‑stop route patterns.
  • Freight Data Analytics: Extract, clean, and interpret massive freight datasets using SQL, Python, or Excel to identify transit bottlenecks and fuel inefficiencies.
  • Dashboard Development: Build and maintain interactive performance tracking dashboards using Tableau or Power BI to visualize key metrics like cost‑per‑mile, empty miles, and driver utilization.
  • Capacity Planning: Forecast seasonal freight volumes and align asset availability (tractors, trailers, and drivers) with regional demand fluctuations.
  • Technology Integration: Serve as the technical administrator or super‑user for the corporate Transportation Management System (TMS) and driver telematics hardware.
  • Process Improvement: Apply Lean Six Sigma methodologies to eliminate operational waste in terminal operations, cross‑docking facilities, and driver drop‑and‑hook workflows.
  • Vendor & Carrier Management: Collaborate with third‑party logistics (3PL) providers and owner‑operators to negotiate freight spot rates and scale capacity when needed.
Qualifications
  • Education: Bachelor’s degree in Industrial Engineering, Supply Chain Management, Logistics, Operations Research, or a highly quantitative field.
  • Experience: 3+ years of experience in transportation engineering, fleet logistics, or freight network analytics.
  • Hazardous Materials: Hazmat certification and/or experience.
  • Technical Software: High proficiency with leading TMS platforms (e.g., SAP TM, Oracle OTM, Blue Yonder) and routing optimization tools.
  • Data Tools: Advanced skills in SQL querying, Python/R programming for data analysis, and Microsoft Excel (macros, pivot tables).
  • Industry Knowledge: Deep understanding of Department of Transportation (DOT) Hours of Service (HOS) regulations, ELD compliance, CSA scoring system, and asset‑based trucking constraints.
  • Problem‑Solving: Strong root‑cause analysis skills with a proven track record of reducing freight cost‑per‑mile or increasing trailer utilization.
Preferred Skills
  • Master’s degree in Industrial Engineering or Supply Chain Management.
  • Certified in Transportation and Logistics (CTL) or Lean Six Sigma Green/Black Belt.
  • Prior experience managing a private or dedicated commercial fleet.
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