Remote Senior Data Engineer, Infrastructure & Compliance

We are seeking a Senior Data Engineer to develop and maintain scalable, secure data pipelines, architecture, and models for processing clinical and operational health data.

Key responsibilities include:

• Designing and building robust ETL/ELT pipelines using SQL and Python for data ingestion, transformation, and processing.
• Enhancing data infrastructure within a Service-Oriented Architecture (SOA) to optimize performance, security, and data integrity.
• Developing automation for data governance, quality, and compliance to secure sensitive data.
• Supporting production environments by troubleshooting escalated issues involving PHI/PII data with strict adherence to security protocols.

Qualifications include:

• 5+ years in data or backend engineering, with strong Python skills and experience with relational, NoSQL databases, and data warehousing.
• Experience with cloud platforms (e.g., Google Cloud, AWS), Kubernetes, Terraform, and data modeling.
• Knowledge of healthcare data regulations (HIPAA, HITRUST) and commitment to data privacy.

Soft skills: high integrity, operational awareness, collaboration across time zones, and a passion for impactful, compliant data solutions. The role requires working remotely, near Minneapolis, MN, with CET hours.