Senior Data Engineer

Qventus
United States
Workplace: RemoteFull timeUSD 150,000 - 180,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Analytical thinking","Data intuition","Problem-solving","Leadership"]

Lead the design, development, and management of data assets and trusted data pipelines that power Qventus products for healthcare operations and analytics. You’ll spearhead dataset discovery, evaluation, and integration, including secure transformations from hospital EMR sources (e.g., FHIR), and partner with data modeling and integration stakeholders to turn product and analytical vision into scalable pipelines. Set company standards for data engineering practices and quality.

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FursaFursa
Qventus
Qventus
3 days ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Lead the design, development, and management of data assets and trusted data pipelines that power Qventus products for healthcare operations and analytics. You’ll spearhead dataset discovery, evaluation, and integration, including secure transformations from hospital EMR sources (e.g., FHIR), and partner with data modeling and integration stakeholders to turn product and analytical vision into scalable pipelines. Set company standards for data engineering practices and quality.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Spearhead discovery, evaluation, and integration of new datasets, including pipeline development and data modeling/documentation with stakeholders.
  • •Manage data assets across the dataset lifecycle, tracking context and sustaining partnerships for ingestion and data engineering.
  • •Translate product/analytical vision into highly functional data pipelines, including designing data structures and building/scheduling transformation pipelines.
  • •Set standards for data engineering practices, guiding architectural approaches and pipeline designs using cutting-edge technologies.
  • •Monitor and lead initiatives to collect, explore, and model data in partnership with data modeling lead and integration partners.

Pay and Benefits

Salary: USD 150,000 - 180,000 annually
Perks:Paid LeavePaid ParentalLearning BudgetWellness Stipend

Key Requirements

  • •Design, build, and optimize reliable, modular, secure data pipelines supporting applications through analytics and ML.
  • •Independently drive ambiguous data initiatives from start to finish while partnering with cross-functional technical and non-technical teams.
  • •Ability to interpret complex datasets: identify anomalies, discern patterns, and extract meaningful insights.
  • •Demonstrated success collaborating to translate product/analytical needs into data requirements and quality checks.
  • •Healthcare experience is preferred.
Experience:5+ yearsHealthcareMachine learningMLOps
Education:
Skills:CommunicationAnalytical thinkingData intuitionProblem-solvingLeadership
Certifications:Databricks Certified Data Engineer ProfessionalAWS Certified Data EngineerAWS Certified Solutions Architect ProfessionalSnowPro Advanced Architect/Data EngineerMicrosoft Fabric Data EngineerDbt Analytics Engineering
Languages:English
Tech Stack:FHIRHIPAADatabricksAWSSnowProMicrosoft FabricDbtMLOpsSigmaLookerTableau

Company Brief

Qventus
Provides an AI-driven operations platform that helps hospitals and health systems optimize patient flow, staffing, and clinical operations in real time to reduce wait times, improve throughput, and enhance care delivery.
Industry: HealthTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Palo Alto, United States
Founded: 2012
WebsiteLinkedIn