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

Lead Analytics Engineer

Columbia, SC · Remote

$80K - $115K/yr

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • Advanced proficiency in Python for data manipulation and analytics engineering ...

eMEDIX DevOps Engineer

Columbia, SC · Hybrid

$48.75 - $66.75/hr

Ensure all infrastructure and deployments meet HIPAA compliance and healthcare data security ... Strong scripting skills in Bash, Python, or PowerShell * Experience with monitoring and ...

eMEDIX DevOps Engineer

Columbia, SC · On-site

$48.75 - $66.75/hr

Ensure all infrastructure and deployments meet HIPAA compliance and healthcare data security ... Strong scripting skills in Bash, Python, or PowerShell * Experience with monitoring and ...

Skill Hadoop, Pig, Hive , Map Reduce, ETL with data warehouse, BI Location Columbia, SC Total ... as Python, Shell Extremely comfortable developing on Linux servers Some experience of web ...

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Python Data Developer information

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How much do python data developer jobs pay per hour?

As of Jul 11, 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 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 Python Data Developers?

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 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:
Data Science, AI & Analytics Lead

Data Science, AI & Analytics Lead

FORWARD EDGE AI, INC

Columbia, SC • On-site

Contractor

Posted 23 days ago


Job description

Data Science, AI & Analytics Lead

Location:  Columbia, SC
Work Arrangement: Hybrid (Must reside within 50 miles of Columbia, SC)
Clearance: Active Secret Clearance Required
Employment Type: Full-Time

Position Overview

Forward Edge-AI is seeking a Data Science, AI & Analytics Lead to support the U.S. Army Reserve CIO/G-6. This position will lead enterprise data analytics, artificial intelligence, machine learning, visualization, and data governance initiatives that enable data-driven decision-making, operational readiness, and digital transformation across the Army Reserve enterprise.

The ideal candidate will provide technical leadership for advanced analytics programs, develop executive-level dashboards and reporting solutions, guide AI/ML implementation efforts, and ensure compliance with enterprise data governance and quality standards. This role requires the ability to communicate complex analytical findings to senior military and civilian leadership and translate data into actionable business insights.

 

Work Location Requirement

This is a hybrid position. Candidates must reside within 50 miles of Columbia, SC and be available to work on-site as required to support meetings, stakeholder engagements, workshops, and Government-directed activities. Candidates must be able to obtain and maintain installation access.

Key Responsibilities

  • Lead the development and implementation of AI/ML models, predictive analytics, and advanced data science solutions
  • Design and deliver executive dashboards, reports, scorecards, and visualizations using Power BI and other approved analytics platforms
  • Analyze structured and unstructured data to support operational readiness, strategic planning, and executive decision-making
  • Oversee enterprise data integration, ETL processes, API development, and data engineering activities
  • Establish and maintain data governance frameworks, metadata standards, and data quality controls
  • Identify authoritative data sources and ensure compliance with Army and DoD data strategies
  • Evaluate emerging technologies and recommend innovative solutions that support enterprise modernization initiatives
  • Brief senior military and civilian leadership on analytical findings, recommendations, and program performance
  • Collaborate with stakeholders, data engineers, analysts, and technical teams to deliver mission-focused solutions
  • Support Agile, DevSecOps, and modern data platform practices
  • Provide technical leadership and mentorship to analytics and data teams

Required Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field
  • Minimum of five (5) years of experience in data science, analytics, AI/ML, business intelligence, or related disciplines
  • Experience developing predictive models, machine learning solutions, and advanced analytics products
  • Proficiency with Python, SQL, Power BI, Azure Machine Learning, Databricks, or similar analytics platforms
  • Experience with data integration, ETL development, and enterprise data management
  • Strong understanding of data governance, data quality, metadata management, and data stewardship
  • Experience supporting federal agencies, Department of Defense organizations, or large enterprise environments
  • Active Secret Security Clearance
  • U.S. Citizenship required
  • Ability to communicate complex technical concepts to executive and non-technical audiences

Preferred Qualifications

  • Experience supporting Army, DoD, or federal data and analytics programs
  • Experience with Army Vantage, Advana, Azure cloud environments, or similar enterprise platforms
  • Microsoft, Azure, AI/ML, Data Analytics, Agile, or Project Management certifications
  • Experience leading cross-functional technical teams
  • Experience briefing General Officer, Senior Executive Service, or executive-level stakeholders

Why Forward Edge-AI

At Forward Edge-AI, you will work alongside mission-focused professionals delivering cutting-edge AI, analytics, and data solutions that directly support national defense objectives. Join a team committed to innovation, collaboration, and advancing the future of data-driven decision-making across the Department of Defense.