We are seeking a freelancer proxy for a Data Engineer role to support a remote healthcare data platform. The work will be 5 to 6 hours per day. You will be required to sit alongside the engineer during work hours, explain workflows, guide implementation, and help resolve issues in real time. Once the daily work is completed, you are free to handle personal tasks. Key Details: • Freelancer proxy for Data Engineer role • Real-time, hands-on experience required • Work Hours: 5-6 hours per day (Monday to Friday) In US timings • Payment: Weekly • 60-70k Monthly Role Overview: The Data Engineer designs, builds, and maintains scalable data pipelines and architectures to support healthcare workflows. This role ensures data reliability, performance, and HIPAA compliance while working with modern cloud-based data engineering tools. Duties & Responsibilities: • Design, build, and maintain ETL/ELT pipelines using Python, Dagster, DBT, and AWS services • Develop and optimize data models in PostgreSQL and write high-performance SQL • Monitor pipeline health, troubleshoot failures, and implement preventive controls • Enforce data quality, governance, and HIPAA compliance for PHI data • Automate deployments and monitoring using Terraform and AWS CloudWatch metrics and alarms • Work with Git/GitHub for version control and CI/CD workflows • Document data workflows, schemas, and operational runbooks for knowledge sharing • Support and guide production-grade pipelines built on Dagster, DBT, Airflow, AWS Glue, and SSIS Required Skills & Tech Stack: • Python (Strong) • SQL (Advanced) • Dagster, DBT, Airflow, AWS Glue • AWS: Athena, Glue, SQS, SNS, IAM, CloudWatch • Databases: PostgreSQL, AWS RDS, Oracle, Microsoft SQL Server • Data Modeling & Query Optimization • Pandas, PySpark, PyCharm • Terraform, Docker, DataGrip, VS Code • Git/GitHub and CI/CD pipelines • Experience with HIPAA-compliant healthcare data is a strong plus