About the Role
This position leads data engineering initiatives by developing and maintaining data infrastructure, ensuring data accuracy, and supporting analytics teams with reliable datasets for decision-making in a healthcare environment.
Responsibilities
- Design and implement data pipelines for large-scale healthcare datasets
- Collaborate with analytics teams to understand data requirements
- Ensure data quality, integrity, and consistency across systems
- Develop and maintain ETL processes using modern data tools
- Optimize database performance and query efficiency
- Support data governance and compliance standards
- Lead technical design discussions for data architecture
- Mentor junior engineers and promote best practices
- Work with cross-functional teams to integrate data sources
- Troubleshoot and resolve data-related issues promptly
- Document data models, workflows, and system designs
- Implement scalable cloud-based data solutions
- Monitor data pipeline health and performance metrics
- Ensure security protocols are followed in data handling
- Participate in agile project planning and delivery
- Evaluate and recommend new data technologies
- Support reporting and dashboarding initiatives
- Maintain version control for data engineering code
- Contribute to data warehouse design and maintenance
- Facilitate data validation during system upgrades
- Drive automation of repetitive data tasks
- Collaborate on data modeling for analytics use cases
- Ensure alignment with enterprise data standards
- Participate in code reviews and technical assessments
- Respond to ad hoc data requests from stakeholders
Compensation
Competitive market rate
Work Arrangement
Hybrid work model
Team
Part of a specialized analytics and data engineering team focused on healthcare solutions
Why This Role Matters
This role is central to enabling data-driven decision-making across healthcare programs by ensuring reliable, timely, and secure access to critical data assets.
Growth Opportunities
Opportunities exist to lead larger data initiatives, influence architecture strategy, and grow into senior technical or managerial roles within the data practice.
Not applicable
