Senior Data Engineer - Python/ETL

Description

Location : Remote (India)Experience : 6 to 10 yearsCompany : DoctusTech (US HealthTech SaaS)

About DoctusTech

DoctusTech is a US-based HealthTech SaaS company building secure, scalable, and compliant healthcare solutions. We handle high-volume, business-critical data and operate in a compliance-driven environment (SOC 2, healthcare-grade security).

Role Overview

We are looking for a Senior Data Engineer with strong expertise in data pipelining, data processing, and backend web development using Python and Django.This role will own end-to-end data pipelines while also contributing to data-driven backend services and APIs that support product and analytics use cases.

Key Responsibilities

• Design, build, and maintain end-to-end data pipelines (ETL/ELT), including ingestion, transformation, processing, and delivery
• Develop and optimize data processing workflows for large structured and semi-structured datasets
• Build and maintain batch and near real-time pipelines
• Implement data transformation logic, validations, and quality checks
• Design and manage data warehouses and data models
• Develop and maintain backend services and APIs using Python and Django
• Integrate data pipelines with product systems, internal tools, and APIs
• Optimize performance, scalability, and reliability of data and backend systems
• Ensure data security, access control, and governance aligned with SOC 2 and healthcare compliance requirements
• Monitor, troubleshoot, and resolve production issues across data pipelines and backend services
• Document architecture, pipelines, and backend workflows
• Mentor junior engineers and contribute to architectural decisions
  

Required Skills & Qualifications

• 6+ years of experience in Data Engineering / Backend Engineering
• Strong hands-on experience with data pipelining and data processing
• Excellent proficiency in Python
• Strong experience with Django (backend development, APIs, services)
• Advanced SQL skills
  

(ref:hirist.tech)