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

Parner with Power BI developers to enhance dashboards. Translate complex findings into executive ... Advanced proficiency in R and/or Python for data analysis and modeling. Experience with SQL and ...

Data Modeling Engineer Duration: 12 Months Location: Columbia, SC OTHER : This position will ... Experience developing automation and integrations using scripting languages such as Python and Bash.

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 ...

Senior AI/ML Engineer

Columbia, SC · On-site +1

$85K - $117K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... Python, GraphQL, Golang , and ML model services , which powers data-annotation pipelines and ...

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 Jun 20, 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 are popular job titles related to Python Data Developer jobs in Blythewood, SC? For Python Data Developer jobs in Blythewood, SC, the most frequently searched job titles are:
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:
Infographic showing various Python Data Developer job openings in Blythewood, SC as of June 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 5% Part Time, 4% Temporary, 6% Contract, and 2% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $97,287 per year, or $46.8 per hour.
Data Scientist

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


State Of South Carolina rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

13th of 50 rated states


Job description

Job Responsibilities Under general supervision, the position leads the development and application of methods to identify, collect, process, organize, and analyze structured, semi-structured, and unstructured data using advanced statistical prediction, inference, and optimization; effectively communicates results and provides ongoing support to strengthen data-driven program design and management. This position will play a critical role in transforming court operational data into actionable insights that support judicial leadership, circuit management, and statewide reporting consistency. The Data Scientist will collaborate with IT leadership, court administrators, clerks, judges, and executive stakeholders to develop predictive models, performance dashboards, and analytical frameworks that improve transparency, efficiency, and data-driven decision-making across the Judicial Branch.

Essential Duties and Responsibilities of the Position Judicial Performance Analytics. Independently conduct advanced analytical studies for the resolution of business problems and transfigures data into critical information by selecting and deploying appropriate advanced statistical techniques such as machine learning, bivariate and multivariate analyses, predictive/prescriptive analytics, and optimization. Develop statistical model to evaluate: case aging trends, disposition rates, backlog indicators, and circuit/county level performance disparities.

Design benchmarking methodologies. Conduct time-series analysis across fiscal years. Identity patterns in filings, dispositions, and case durations.

Provide advanced metrics beyond standard reporting counts. Dashboard & Executive Reporting Enhancement. Design and optimize dashboards, visualizations, and analytic tools (e.g., Periscope, Business Objects, D3, ggplot, etc.)

Develop advance DAX-backed measures ground in statistical rigor. Parner with Power BI developers to enhance dashboards. Translate complex findings into executive-ready visualization.

Support development of KPI frameworks for statewide reporting. Convey findings and conclusions of work orally, in writing, visually, in presentations, and by developing interactive tools as appropriate to communicate effectively with a wide range of audiences, including technical and nontechnical staff, stakeholders, and executive leadership. Data Quality & Governance Support.

Identify data inconsistencies across statewide data. Develop anomaly detection routines. Collaborate on improving the data collection into the statewide data warehouse.

Support data standardization effort. Assist with validation logic for DW ETL processes. Provide ongoing tracking and monitoring of performance of decision systems and statistical models and troubleshoots and implements enhancements and fixes to systems as needed.

Predictive & Advanced Modeling. Build predictive models for judicial data. Create and maintain a LLM with judicial data for effective searching and reporting.

Develop risk indicators for emerging congestion. Apply regression, clustering, and classification techniques for judicial datasets. Use statistical computer scripting, domain-specific, and programming languages and other software and tools to digest, manipulate, prepare, augment, evaluate, analyze, summarize, and visualize data.

Research & Policy Support. Conduct statistical analysis to support: 1) Legislative inquiries 2) Policy reviews and 3) 610 data requests. Stays current with best practices; access ongoing training and professional development to maintain familiarity with current industry research to apply the latest and most useful statistical learning techniques to help extract pattern and trends from data.

Assist in implementing recommended process changes in ways that both retain fidelity to best practices identified through the analysis and recognize the operational realities underlying existing business processes, provides ongoing consultation as recommended changes and new programs grow and evolve, including recommending modifications to adopted goals and metrics. Collaboration and Stakeholder Engagement. Collaborate with other department subject matter experts to understand, identify, and select available and relevant sources of data for use cases, including internal, external, structured, semi-structured, and unstructured data sources; and provides guidance to other department data experts in the selection and transformation of such sources Performs all other duties as assigned.

Minimum and Additional Requirements Masters in Data Science, Applied Mathematics, Statistics, Information Technology, Computer Science, Economics or another quantitative field. Seven (7) years of experience applying machine learning, predictive analytics, data management, and hypothesis-driven data analysis to produce actionable recommendations to support data-driven program, policy, and operational decision-making. Advanced proficiency in R and/or Python for data analysis and modeling.

Experience with SQL and relational databases. Experience visualizing/presenting data for stakeholders using: Power BI, DAX, Business Objects, D3, ggplot, etc. Experience with GIS tools (ArcGIS Pro, ArcGIS Online) and spatial analysis.

Preferred Qualifications Experience working with court, justice, or government data systems Experience with Power BI and DAX Familiarity with star/snowflake schema data warehouses Experience with time-series forecasting models Knowledge of case lifecycle or judicial workflow processes Experience presenting to executive leadership Knowledge, Skills, Abilities and Other Characteristics Strong proficiency in: SQL (advanced querying and data manipulation), Python or R, Statistical modeling techniques Experience working with large relational datasets Experience developing dashboards or executive reporting analytics Strong analytical reasoning Ability to translate complex statistical concepts into operational insights High attention to data integrity and accuracy Strategic mindset aligned with enterprise modernization Strong written and verbal communication skills Collaborative and cross-functional approach Additional Comments The South Carolina Judicial Branch offers an exceptional benefits package for FTE positions that include: Health, Dental, Vision, Long Term Disability, and Life Insurance for Employee, Spouse, and Children. State Retirement Plan and Deferred Compensation Programs (Temporary positions have option to enroll). 15 days paid annual (vacation) leave per year.

15 days paid sick leave per year. Option to designate 10 days of earned paid sick leave per year as family sick leave. 13 paid state holidays.

Workers' Compensation Benefits.


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About State of South Carolina

Sourced by ZipRecruiter

State of South Carolina is not a typical corporation, but the governing body of the US state of South Carolina, located in the capital city of Columbia. Its industry focuses on public administration, providing key essential services to ensure the efficient functioning of the state. These services range from public safety and environment protection to education, healthcare, and economic development. The state was founded in 1788, grounded in democratic principles meant to support the overall well-being of its citizenry. Its core values revolve around service, integrity, accountability, and transparency. The mission of the State of South Carolina is to improve the quality of life for all its people, with a focus on education advancement, economic growth, and improved healthcare.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Columbia, SC, US

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