QGenda · 8 hours ago
Senior Data Engineer
Atlanta, GA
Full-time
Hybrid
Senior Level
5+ years expQGenda is redefining healthcare workforce management everywhere care is delivered. As a Senior Data Engineer, you will design, build, and optimize the data platform, contributing to architectural direction and driving best practices to support complex data initiatives.
Health CareHospitalInformation TechnologyMedical DeviceSchedulingService IndustrySoftware
No H1B
Responsibilities
Deliver High-Quality, Scalable Data Engineering Solutions
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
Strengthen Data Engineering Practices and Technical Standards
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
Participate in code reviews, identify opportunities for architectural improvement,, and contribute to continuous improvement efforts
Collaborate Across Teams
Partner with data engineers, DBAs, managers, and business stakeholders to deliver high-impact data products
Provide technical guidance, informal mentorship, and support to other engineers in order to elevate team capabilities
Communicate technical decisions, risks, and recommendations to both technical and non-technical audiences
Drive Technical Excellence
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
Contribute to data observability, incident response, and root-cause analysis for complex data issues
Design and deliver AI-ready data products, ensuring data structures, metadata, and pipelines are suitable for natural language processing, predictive analytics, and other AI-driven capabilities
Qualification
Required
5-7+ years in data engineering/analytics engineering, or related field
Bachelor's degree specializing in computing, data engineering, or related discipline
Expertise in distributed data processing, data modeling, and performance tuning
Experience with modern data stack components, such as: 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., DevOps: Git, CI/CD, Terraform/CloudFormation
Exceptional analytical, problem solving, and debugging skills
Strong communication with the ability to simplify and articulate technical concepts
Ability to work collaboratively, influence architecture, and take ownership of deliverables
Commitment to quality, reliability, and continuous improvement
Preferred
Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven analytics
Benefits
Fully company-paid options for medical (both in-person and virtual), dental and vision insurance
Generous paid time off (PTO) policy to enjoy periods of uninterrupted rest and relaxation for a healthy work/life balance
Paid parental leave for birth, adoption or permanent placement
401(k) with company match
Options to work in a hybrid-working model or remotely from home, depending on the position
Annual Costco membership, cell phone stipend, commuter benefits, in-office perks and more
Company
QGenda
QGenda is the provider of cloud-based automated physician scheduling solutions.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Francisco Partners
2024-08-12Acquired
2020-06-10Private Equity
2016-06-01Private Equity
Leadership Team
Greg Benoit
CEO
B
Blake Birkenfeld
SVP, Shift Admin
Recent News
2025-07-14
Business Wire
2025-07-09
Company data provided by crunchbase