Position Overview:
We're seeking an experienced Data Engineer to drive the implementation of our Data Strategy and Initiatives. This role is both hands-on and strategic, focusing on scalable solutions that support internal teams and external clients across the healthcare and pharmaceutical landscape.
Required Qualifications
- 10+ years of experience in healthcare/pharmaceutical data engineering
- Strong preference for startup healthcare technology experience
- Proven expertise in infrastructure engineering
- Advanced experience with the modern data stack
- Deep understanding of data privacy and security standards
- Strong collaboration skills with product engineering teams
Key Responsibilities Data Pipeline Development & Integration
- Build and maintain ETL/ELT processes
- Engineer data pipelines for near real-time reporting
- Develop data solutions for performance measurement
- Analyze and engineer customer pattern data
- Design and implement third-party integrations
- Implement FHIR/HL7 data exchanges
Data Warehousing & Database Management
- Design scalable data warehouse and self-serve solutions
- Implement and optimize performant data models
- Develop connections for 1st and 3rd party data sources
- Handle structured, semi-structured, and unstructured data
- Create standard APIs for data access
- Manage client and pharmacy data flows
- Execute on a 5-year data strategy roadmap
Compliance & Security
- Implement HIPAA-compliant data solutions
- Build secure data transfer mechanisms
- Maintain audit trails and logging infrastructure
- Design and uphold regulatory compliance frameworks
- Create PHI-specific security protocols
- Ensure GDPR and CCPA compliance
Analytics & Performance
- Develop near real-time analytics pipelines
- Build solutions for performance monitoring and patient journey analytics
- Engineer outcomes measurement tools
- Support advanced analytics frameworks
- Integrate and align data across business intelligence, analytics, data science, and engineering
Technical Skills
- Cloud: AWS (Redshift, S3, Lambda)
- Modern Stack: dbt, Fivetran
- Languages: SQL, Python, Java (Scala, R & Go are a plus)
- Tools: Metabase, Domo, Looker, PowerBI, Tableau
- Other: API development, security implementation, performance tuning, automated testing
Critical Attributes
- Startup and high-growth company experience
- Strong cross-functional collaboration
- Deep knowledge of healthcare regulations
- Compliance and security-driven mindset
- Innovation-focused and results-oriented
- Proven success in technical and business partnerships
Impact Areas
- Secure and scalable data architecture
- Integration with product engineering
- Full regulatory compliance
- Privacy-first analytics design
- Revenue-driving data solutions
- Development of healthcare metrics
- High-level cross-team collaboration
Performance Expectations
1. Technical Delivery & Quality
- Maintain data pipeline/system uptime
- Complete code reviews within 48 hours
- Keep data error rate under 1%
- Pass all security and compliance checks
- Maintain accurate documentation
- Zero critical findings in audits
2. Work Management & Delivery
- Engage actively in governance, roadmap, and pipeline planning
- Provide timely status updates
- Keep documentation current
- Respond to critical issues within 2 hours
- Maintain 95% sprint commitment accuracy
- Deliver complete technical specifications
3. Team Leadership & Collaboration
- Lead weekly mentoring and bi-weekly architecture sessions
- Provide code review feedback within 24 hours
- Maintain consistent communication with product engineering
- Participate in cross-functional planning
- Share and document key technical decisions
4. Innovation & Growth
- Propose quarterly technical/system improvements
- Contribute to long-term strategy development
- Host knowledge sharing sessions
- Stay current with healthcare tech trends
- Identify automation and efficiency opportunities
- Share best practices across teams
5. Data Quality & Governance
- Maintain data accuracy above 99%
- Ensure ongoing regulatory compliance
- Conduct monthly security and compliance reviews
- Keep data governance documentation updated
- Monitor system performance continuously
- Maintain audit-ready standards
6. Stakeholder Management
- Provide timely updates and performance reports
- Attend product meetings regularly
- Escalate issues effectively and maintain open communication
- Respond to stakeholder requests within 1 business day
- Present technical roadmaps confidently
7. Professional Development
- Complete quarterly compliance/security training
- Keep certifications current
- Attend relevant conferences/webinars
- Host internal workshops
- Stay updated on industry regulations and technologies
- Contribute to industry technical literature
8. Operational Excellence
- Optimize pipelines quarterly for performance
- Ensure systems can scale 20x
- Maintain readiness for audits and disaster recovery
- Implement automated testing
- Keep technical debt within acceptable levels