Senior Data Platform Engineer

Posted 3 days agoViewed

💎 Seniority level: Senior, 3+ years

📍 Location: United States

💸 Salary: 150000.0 - 185000.0 USD per year

🔍 Industry: Healthcare

🏢 Company: Qventus👥 101-250💰 $85,000,000 Series D about 1 month agoArtificial Intelligence (AI)Machine Learning Hospital Analytics Health Care

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSDockerLeadershipPythonSQLApache AirflowBashCloud ComputingData AnalysisETLKubernetesMachine LearningMicrosoft AzureMLFlowSnowflakeCross-functional Team LeadershipAlgorithmsData engineeringData scienceData StructuresPostgresREST APISparkCommunication SkillsAnalytical SkillsCI/CDProblem SolvingMentoringTerraformMicroservicesData visualizationData modeling

Requirements:

3+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs
Experience working with Data Science teams to support ML Ops
Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML

Responsibilities:

Lead scoping and execution of critical improvements to our data platform to maintain overall system health and improve data observability in lieu of changing product needs and to optimize innovation velocity
Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
When needed support solution development; translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.)

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