Healthcare Data Engineer (Remote - Virtual Dementia Care)

Responsibilities:

• Design and maintain scalable and secure data pipelines using modern ETL frameworks (e.g., dbt, Fivetran) on cloud platforms, including AWS and GCP.
• Build and manage cloud-based data warehouses (e.g., BigQuery, Snowflake) and data marts.
• Perform data quality checks, validations, and mapping for health plan data feeds (standard and custom formats).
• Translate health plan specifications and map differences across varying data structures.
• Collaborate with analytics, reporting, and clinical teams to ensure data is accessible and reliable.
• Optimize data systems and troubleshoot data issues across the pipeline and storage layers.
• Implement and enforce data governance, security, and privacy standards aligned with HIPAA and other regulatory requirements.

Skills:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• 4+ years of professional experience in data engineering, preferably in the healthcare industry
• Strong experience with SQL and relational databases (PostgreSQL, SQL Server, etc.)
• Experience with data modeling and ETL frameworks like Fivetran
• Professional working experience with dbt
• Proficiency in Python, Spark, or other data processing frameworks
• Hands-on experience with cloud data platforms (e.g., AWS, GCP, Azure)
• Experience with data warehousing (e.g., BigQuery, Snowflake, Redshift)
• Experience working with healthcare claims or clinical data
• Familiarity with HIPAA compliance, security, and privacy best practices
• Experience working with TUVA strongly preferred

Benefits:

• 💼 Development, mentoring, and training programs
• 🚀 Fast growth opportunities
• 🏡 Flexible work environment
• 💰 Competitive compensation
• 📈 401(k) plan with company contribution
• 🩺 Medical, Dental, and Vision coverage
• 🛡️ Life insurance and Disability
• 💻 Remote Work stipend
• 🌴 Generous Paid Time Off

Qualifications:

• Category: midSeniorLevel
• Term: fullTime