Data Engineer I: ETL, SQL & Python Automation

C2Q Health Solutions; New York (NY); Hybrid; USD 80,000 - 90,000; Full time

Job summary

C2Q Health Solutions is seeking a Data Engineer to design, develop, and maintain data architectures and pipelines in a hybrid New York environment.

The role emphasizes T-SQL development, ETL processes, and Python scripting to automate data workflows, support multiple formats, and enable API-based imports/exports. Collaboration with cross‑functional teams ensures accurate, actionable data insights.

Qualifications

• 1–4 years of hands-on experience with T-SQL development and ETL processes.
• Proficiency in Python scripting for data manipulation and automation.
• Experience with Tableau for data visualization and reporting.

Responsibilities

• Design, develop, and optimize data architectures and pipelines.
• Build and maintain ETL scripts in Python to integrate data workflows.
• Automate SFTP transfers and handle diverse data formats (XML/JSON/Parquet).
• Collaborate with analysts and stakeholders to meet reporting needs.
• Version control scripts with Git/GitHub and ensure code quality.
• Integrate data visualizations in Tableau for business insights.
• Ensure data quality, integrity, and documentation across projects.

Skills

T-SQL

ETL development

Python scripting

Tableau

Git/GitHub

API integration

SFTP automation

Data formats (XML/JSON/Parquet)

Education

Bachelor's degree in CS/IT or related

Tools

GitHub

SQL Server

Job description

C2Q Health Solutions is seeking a Data Engineer to design, develop, and maintain data architectures and pipelines in a hybrid New York environment.

The role emphasizes T-SQL development, ETL processes, and Python scripting to automate data workflows, support multiple formats, and enable API-based imports/exports. Collaboration with cross‑functional teams ensures accurate, actionable data insights.