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Freelance Python Data Analysis Jobs in Lancaster, SC

eTeam

Data Engineer

Fort Mill, SC · On-site

$107K - $128K/yr

... analytical layer • Work with Python, PySpark, Spark SQL for data transformation, enrichment pipelines, large-scale data processing • Handle ingestion from APIs, flat files, streaming feeds ...

CYNET SYSTEMS

Senior Data Engineer

Fort Mill, SC · On-site

$60 - $65/hr

Proven experience in data engineering roles with a focus on Snowflake, AWS services, Python, and DBT. * Strong analytical and problem-solving skills. * Excellent communication and teamwork abilities.

Calance US

Azure Data Engineer- onsite

Charlotte, NC · Hybrid

$106K - $128K/yr

... analytics. Compute & Automation: Develop custom Azure Functions (Python) and API integrations to bridge gaps where native connectors are insufficient, ensuring no data source is out of reach. Hybrid ...

1 point system

AI Pricing Analyst

Rock Hill, SC · Remote

Strong Excel and data analysis skills * Experience working with cross functional teams including ... Does not need SQL, Python, or AI build experience at all. * Technical depth would come more from ...

New

FocusKPI

Marketing Operations Analyst

Rock Hill, SC · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

CYNET SYSTEMS

Markit EDM Developer

Fort Mill, SC · On-site

$55 - $60/hr

Design hybrid architecture for EDM golden source and Data Lake analytical layer. * Work with Python, PySpark, and Spark SQL for data transformation, enrichment pipelines, and large-scale data ...

twoharbors

Reporting Developer

Fort Mill, SC

$41.50 - $57/hr

Perform data analysis and ad hoc reporting to answer complex and time sensitive questions critical ... Experience with Python Physical Demands & Working Conditions The physical demands described here ...

Two Harbors Investment Corp.

Reporting Developer

Fort Mill, SC · On-site

$41.50 - $57/hr

Perform data analysis and ad hoc reporting to answer complex and time sensitive questions critical ... Experience with Python Physical Demands & Working Conditions The physical demands described here ...

Two Harbors Investment Corp

Reporting Developer

Fort Mill, SC · On-site

$41.50 - $57/hr

Perform data analysis and ad hoc reporting to answer complex and time sensitive questions critical ... Experience with Python Physical Demands & Working Conditions The physical demands described here ...

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Freelance Python Data Analysis information

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How much do freelance python data analysis jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for freelance python data analysis in Lancaster, SC is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $41.20 and $56.78 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What job categories do people searching Freelance Python Data Analysis jobs in Lancaster, SC look for? The top searched job categories for Freelance Python Data Analysis jobs in Lancaster, SC are:
What cities near Lancaster, SC are hiring for Freelance Python Data Analysis jobs? Cities near Lancaster, SC with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you

Senior AWS Data Engineer

Accord Technologies Inc.

Rock Hill, SC • On-site

$88K - $119K/yr

Contractor

Posted 5 days ago

Job description

Senior AWS Data Engineer
Fort Mills, SC (Hybrid 3 days a week )
Position type: W2 contract.
Job Summary:

Contribute to building state-of-the-art data platforms in AWS, leveraging Python and Spark. Be part of a dynamic team, building data solutions in a supportive and hybrid work environment. This role is ideal for an experienced data engineer looking to step into a leadership position while remaining hands-on with cutting-edge technologies. You will design, implement, and optimize ETL workflows using Python and Spark, contributing to our robust data Lakehouse architecture on AWS. Success in this role requires technical expertise, strong problem-solving skills, and the ability to collaborate effectively within an agile team.

Must Have Tech Skills:

  • Demonstrable experience as a senior data engineer.
  • Expert in Python and Spark, with a deep focus on ETL data processing and data engineering practices.
  • Experience of implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, Athena
  • Experience with data services in a Lakehouse architecture.
 

Key Accountabilities:

  • Provides guidance on best practices in design, development, and implementation, ensuring solutions meet business requirements and technical standards.
  • Works closely with architects, Product Owners, and Dev team members to decompose solutions into Epics, leading design and planning of these components.
  • Drive the migration of existing data processing workflows to the Lakehouse architecture, leveraging Iceberg capabilities.
  • Communicates complex technical information clearly, tailoring messages to the appropriate audience to ensure alignment.

Key Skills:

  • Deep technical knowledge of data engineering solutions and practices. Implementation of data pipelines using AWS data services and Lakehouse capabilities.
  • Highly proficient in Python, Spark and familiar with a variety of development technologies. This knowledge enables the Senior Data Engineer to adapt solutions to project-specific needs.
  • Skilled in decomposing solutions into components (Epics, stories) to streamline development.
  • Proficient in creating clear, comprehensive documentation. Ensures that documentation supports knowledge sharing and compliance, making it accessible and valuable for future reference
  • Proficient in quality assurance practices, including code reviews, automated testing, and best practices for data validation.
  • Experience in leveraging automation tools and Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline development, testing, and deployment.

Educational Background:

  • Bachelor’s degree in computer science, Software Engineering, or related field essential.

Must have:

  • Financial Services expertise, working with Equity and Fixed Income asset classes and a working knowledge of Indices.

 Nice To Have Tech Skills:

  • Experience in solution architecture and technical design, allowing for the creation of scalable, reliable data architectures that meet both technical and business requirements 
  • A master’s degree or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous