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

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$18 - $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 ...

VOLT

Software Engineer III-1st shift

Hopkins, SC · On-site

$55 - $60/hr

As a Sr. Software Developer, you will: Job Overview: We are seeking a highly skilled Industrial ... or Python * Familiarity with real-time data systems and industrial automation environments ...

Cisco

Applied AI Scientist

Columbia, SC

Collaborate with engineering, product, and data science teams to understand requirements ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

New

Cisco

Software Engineer, Backend

Columbia, SC · On-site

$152K - $219K/yr

Meet the Team The Time Series Data (TSD) team builds andoperatesthe time-series database ... Programming experience in Rust, Scala, Python. * Experience with observability tooling such ...

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All JobsPython Data Developer JobsPython Data Developer Jobs in Blythewood, SC

Python Data Developer information

See Blythewood, SC salary details

$10

$46

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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:
Python Data Developer jobs near you
CRIBL Data Modeling and Log Pipeline Engineer W-2 ONLY

CRIBL Data Modeling and Log Pipeline Engineer W-2 ONLY

United Global Technologies

Columbia, SC • On-site

Full-time

Posted 26 days ago

Job description

W-2 ONLY NO Subs, NO Sponsorship

Candidate location: No South Carolina residency required. Open to nationwide candidates. All travel-related costs for onsite work will be the responsibility of the resource no matter the frequency of onsite work.

THIS POSITION WILL PARTICIPATE IN AN ON-CALL ROSTER.

Required Skills

CRIBL Data Modeling and Log Pipeline Design and Implementation

Strong understanding of enterprise security architecture and engineering principles.

Experience implementing and supporting enterprise security tools (SIEM, XDR, Vulnerability Management, DLP, endpoint security).

Experience developing automation and integrations using scripting languages such as Python and Bash.

Knowledge of Cybersecurity Best Practices, threat detection, and defensive security strategies.

Experience with Linux and Windows operating systems, including system hardening and security configuration.

Understanding of networking concepts, security protocols, and secure system design.

Preferred Skills

Hands-On CRIBL Data Modeling Experience

Hands-on SIEM administration, analysis, and reporting experience.

Experience building and deploying Linux-based security sensors.

Familiarity with security frameworks and compliance standards such as NIST CSF, CJIS, IRS 1075, and CMS MARS-E.

CISSP and/or Security+ Certificates

Work Location: 100% Remote