Job Category: Website and Application Development
Job Type: Full Time
Job Location: Urdaneta City Pangasinan
Basic Pay: Based on Experience
Shift: Night U.S Time Zone
Role Overview
We are seeking a part-time Python/Django Developer & Data Engineer with experience in DevOps and CI/CD pipelines to join our growing team. This role supports the maintenance and evolution of our data infrastructure, Django-based applications, and DevOps workflows during a critical transition period. You’ll work alongside a fractional Architect who will mentor and guide you to take ownership of the technical stack.
Responsibilities
Backend Development & Data Engineering
- Maintain and enhance Django-based applications.
- Develop and maintain data ingestion pipelines for healthcare datasets (e.g., claims, eligibility, prescriptions) using Python, Pandas, and SQLAlchemy.
- Manage and optimize PostgreSQL databases (hosted on Azure Database for PostgreSQL – Flexible Server).
- Handle and automate SFTP file transfer, parsing, validation, and transformation into structured formats.
Cloud & DevOps
- Oversee and maintain Azure cloud infrastructure, including:
- Azure Virtual Machines (VMs)
- Blob Storage
- Database as a Service (DBaaS)
- Design and manage CI/CD pipelines using tools like GitHub Actions, Bitbucket Pipelines, or Azure DevOps to automate deployment, testing, and infrastructure provisioning.
- Implement logging, monitoring, and alerting for pipeline failures and data ingestion issues.
- Ensure secure and scalable DevOps practices across staging and production environments.
Collaboration & Documentation
- Collaborate with business stakeholders and non-technical team members to troubleshoot issues.
- Create clear technical documentation to support knowledge transfer and onboarding.
- Participate in code reviews and contribute to continuous improvement of the development process.
Qualifications
- 2+ years of experience in Python and Django development.
- Strong working knowledge of PostgreSQL or similar relational databases (MySQL, SQL Server).
- Experience with Pandas or other Python data transformation libraries.
- Familiarity with Azure cloud services, including VMs, Blob Storage, and managed DBs.
- Experience managing SFTP workflows for data ingestion.
- Solid understanding of DevOps practices, including:
- Infrastructure as Code (IaC)
- Deployment automation
- CI/CD pipeline management
Preferred Skills
- Experience working with healthcare data formats (e.g., 837/835 claims, 270/271 eligibility, NCPDP RX).
- Familiarity with HIPAA and healthcare data privacy best practices.
- Experience with monitoring tools (e.g., Prometheus, Grafana, Azure Monitor).
- Exposure to frontend development (HTML, Bootstrap, JavaScript) is a plus.
- Knowledge of secure credential management (e.g., environment variables, Azure Key Vault).
