Senior Python Data Engineer - ETL, Analytics & Modernization

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

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.