QGenda is looking to empower the healthcare industry to better onboard, deploy, and manage their workforce through strategic workforce decisions, and is seeking a Senior Data Engineer to design, build, and optimize the data platform to power analytics, reporting, and data-driven decision making across QGenda product lines.
Requirements
- Expertise in distributed data processing, data modeling, and performance tuning
- Experience with modern data stack components, such as Cloud: AWS/GCP/Azure
- Experience with modern data stack components, such as Warehouses: Snowflake, Redshift, BigQuery, etc.
- Experience with modern data stack components, such as Orchestration & Transformation: Matillion, dbt, etc.
- Experience with modern data stack components, such as Observability: data lineage/monitoring tools
- Experience with modern data stack components, such as BI: Looker, Tableau, Power BI, etc.
- Experience with modern data stack components, such as DevOps: Git, CI/CD, Terraform/CloudFormation
Responsibilities
- Architect, develop, test, and maintain ELT/ETL pipelines and data workflows supporting high-volume analytics
- Implement advanced data processing solutions and observability techniques to ensure data is accurate, fresh, and reliable
- Design and refine data models and semantic layers that support analytical self-service and advanced reporting
- Translate complex business and analytics requirements into efficient, scalable data solutions
- Apply best practices for version control, documentation, CI/CD, Infrastructure as Code, and data governance
- Optimize data pipelines and warehouse performance for speed, cost, and scalability
- Evaluate, prototype, and influence adoption of new tools, frameworks, and architectural patterns that enhance the data platform
Other
- 5-7+ years in data engineering/analytics engineering, or related field
- Bachelor’s degree specializing in computing, data engineering, or related discipline
- Ability to work collaboratively, influence architecture, and take ownership of deliverables
- Commitment to quality, reliability, and continuous improvement
- Applicants for this position must be authorized to work for any employer in the United States(U.S.), including being located in the US
