About the Role
This role involves leading the development and optimization of data pipelines, ensuring data integrity, scalability, and performance across large datasets. The engineer collaborates with cross-functional teams to deliver actionable insights through advanced data architectures.
Responsibilities
- Design and implement scalable data pipelines for large-volume data processing
- Develop and maintain ETL workflows to ensure reliable data integration
- Optimize data storage and retrieval systems for performance and efficiency
- Collaborate with data scientists and analysts to understand data requirements
- Ensure data quality, consistency, and accessibility across platforms
- Lead architecture discussions and influence long-term data strategy
- Troubleshoot and resolve data pipeline issues in production environments
- Mentor junior engineers and contribute to team knowledge sharing
- Evaluate and integrate new data technologies and tools
- Support compliance with data governance and security standards
- Work closely with product teams to enable data-driven decision-making
- Build and maintain documentation for data systems and processes
- Monitor system performance and implement improvements proactively
- Participate in code reviews and uphold engineering best practices
- Design data models for operational and analytical use cases
- Ensure high availability and reliability of data infrastructure
- Contribute to disaster recovery and data backup strategies
- Automate routine data engineering tasks to improve efficiency
- Integrate data from disparate sources into unified systems
- Support real-time and batch data processing needs
- Drive initiatives to improve data observability and monitoring
- Collaborate on cloud-based data platform enhancements
- Assist in capacity planning for data growth and usage trends
- Promote reusable data components and standardized patterns
- Ensure solutions align with enterprise architecture principles
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid remote work model
Team
Collaborative data engineering team focused on scalable data solutions
Why Join Us
- Opportunity to work on impactful data solutions in the healthcare technology space
- Supportive environment that values innovation, collaboration, and continuous learning
Technology Stack
AWS, Google Cloud Platform, Apache Spark, Kafka, Snowflake, Kubernetes, Python, Terraform, Airflow
Not available
