Senior-High Technical Specialist / Python Developer – Raleigh, NC

Candidzone; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

NeoDym Technologies is hiring a senior Python Developer to support data modernization, migrations, analytics, and enterprise integrations for NCDHHS. You will build Python data pipelines, ETL processes, and automation workflows across cloud and on‑prem systems.

You will design data models, develop SQL queries, and create Power BI dashboards. Strong collaboration with business and technical teams is essential to deliver scalable, compliant data solutions.

Qualifications

• Minimum 7 years of hands‑on Python development experience.
• Minimum 5 years of Power BI experience.
• Minimum 7 years of SQL and relational database experience.
• Minimum 7 years of data migration experience.
• Strong REST/SOAP API and microservices experience.

Responsibilities

• Develop and maintain Python data migration scripts, ETL pipelines, and automation workflows.
• Design and optimize data models for reporting and analytics.
• Build interactive dashboards with Power BI for enterprise needs.
• Perform data extraction, transformation, validation, and loading across systems.
• Develop optimized SQL queries and database objects.
• Collaborate with teams to translate requirements into technical solutions.
• Maintain documentation for data processes and migrations.

Skills

Python development

Power BI

SQL

Data migration

REST APIs

Backend architecture

Microservices

Data governance

Communication

Tools

Zope

Plone CMS

Git

CI/CD pipelines

AWS

Azure

GCP

Job description

Location

Raleigh, North Carolina, United States

Contract | 12+ Months

Job Category

• Information Technology (IT) & Software
• Engineering & Technical
• Government & Public Sector
• Science & Research

Job Overview

NeoDym Technologies is seeking a highly experienced Python Developer to support data modernization, migration, analytics, and enterprise application initiatives for the North Carolina Department of Health and Human Services (NCDHHS). The role focuses on developing Python-based data solutions, ETL pipelines, automation workflows, analytics platforms, and enterprise integrations.

The successful candidate will work across data extraction, transformation, validation, migration, reporting, database optimization, and application integration. The position requires close collaboration with business and technical teams to translate reporting and modernization requirements into reliable, scalable solutions across databases, APIs, cloud applications, on-premises systems, and legacy platforms.

This opportunity offers strong career growth in data engineering, Python development, enterprise modernization, analytics, and cloud technologies. Professionals can further strengthen their career through advanced training and professional development in data architecture, cloud platforms, Power BI, database technologies, and modern data engineering practices.

Key Responsibilities

• Develop and maintain Python-based data migration scripts, ETL pipelines, and automation workflows.
• Design and optimize data models for reporting and analytics.
• Build interactive dashboards and reporting solutions using Power BI.
• Perform data extraction, transformation, validation, and loading across databases, APIs, and enterprise systems.
• Develop optimized SQL queries, stored procedures, and database objects.
• Integrate data from cloud applications, on-premises systems, APIs, and flat files.
• Identify and resolve data quality issues.
• Implement data integrity and data governance best practices.
• Support enterprise data modernization and legacy system migration initiatives.
• Collaborate with business and technical teams to translate reporting requirements into effective technical solutions.
• Maintain documentation for data processes, source mappings, and migration activities.
• Support database performance optimization and scalable data processing.
• Develop and maintain enterprise applications using relevant Python-based technologies.
• Support modernization initiatives involving legacy applications and data environments.

Requirements & Qualifications

• Minimum 7 years of hands‑on Python development experience.
• Minimum 5 years of Power BI experience.
• Minimum 7 years of SQL and relational database experience.
• Minimum 7 years of data migration or data conversion experience.
• Strong experience optimizing SQL queries and improving database performance.Minimum 5 years of experience with REST/SOAP APIs, backend architecture, and microservices.
• Strong understanding of data governance, security, and compliance.
• Experience developing and maintaining Zope applications.
• Experience developing and maintaining Plone CMS applications.
• Strong analytical and problem‑solving skills.
• Ability to work effectively with business and technical stakeholders.
• Strong documentation and communication capabilities.

Preferred / Desired Qualifications

• Experience with legacy system migration and large-scale modernization projects.
• Java development experience.
• Experience with AWS, Microsoft Azure, or Google Cloud Platform.Power BI administration experience, including workspaces, gateways, and deployment strategies.
• Experience with Git, Subversion, and CI/CD pipelines.
• Perl scripting experience.
• Experience maintaining legacy applications.

Salary, Benefits & Career Growth

The job description does not specify a salary or compensation range.

Benefits & Work Arrangement

• Contract employment opportunity.
• 12+ month engagement.
• Raleigh, North Carolina location.
• Opportunity to contribute to NCDHHS data modernization and enterprise technology initiatives.
• Exposure to large-scale data migration, analytics, Python development, and legacy system modernization projects.

Career Growth & Professional Development

This position provides broad professional exposure to Python development, data engineering, ETL, Power BI, SQL, APIs, microservices, cloud technologies, data governance, and enterprise modernization. Continued training and certifications in cloud platforms, data engineering, Power BI, database technologies, and software development can support progression toward senior data engineering, solution architecture, cloud engineering, and technical leadership positions.