QGenda is looking to empower the healthcare industry to better onboard, deploy, and manage their workforce through their unified software platform, and the Data Engineering Manager role is intended to lead the data analytics team and own the end-to-end data platform that powers reporting, self-service analytics, and data-driven decision making.
Requirements
- 7+ years in data engineering/analytics engineering; 2+ years leading teams
- Solid understanding of distributed data processing and performance tuning
- Production experience with a modern data stack - for example: Cloud: AWS/GCP/Azure
- Warehouses: Snowflake, Redshift, BigQuery, etc.
- Orchestration & Transformation: Matillion, dbt, etc.
- Observability: data lineage/monitoring tools
- BI: Looker, Tableau, Power BI, etc.
Responsibilities
- Own the data platform roadmap: ingestion, processing, modeling, governance, and analytics enablement
- Architect and scale ELT/ETL pipelines and streaming workloads; enforce SLAs for reliability, freshness, and cost efficiency
- Establish data modeling standards and semantic layers to enable self-service BI
- Partner with stakeholders to prioritize work, translate requirements into data products, and measure impact
- Drive best practices for version control, CI/CD, Infrastructure as Code, and security/compliance
- Implement data quality and observability, and drive root-cause analysis for any incidents
- Optimize warehouse performance and costs; manage capacity planning and vendor relationships
Other
- Bachelor’s degree specializing in computing, data engineering, or related field
- Strong critical thinking and problem solving skills
- Excellent communication skills and upbeat personality
- Strong stakeholder management, prioritization, and written/verbal communication skills
- Applicants for this position must be authorized to work for any employer in the United States(U.S.), including being located in the US
