Senior Backend Engineer - Data

Posted 3 days agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 155000.0 - 190000.0 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: 5+ years

🪄 Skills: AWSBackend DevelopmentPythonSoftware DevelopmentSQLCloud ComputingData AnalysisDynamoDBGitKafkaKubernetesMachine LearningSnowflakeAlgorithmsAPI testingData engineeringData StructuresREST APIServerlessCommunication SkillsAnalytical SkillsCollaborationCI/CDRESTful APIsMicroservicesJSONDebugging

Requirements:

5+ years of professional experience as a software engineer, primarily working with Python.
Proven expertise in Amazon Web Services, including designing and deploying cloud-native applications using AWS tools like Lambda, API Gateway, DynamoDB, or similar.
Experience with frameworks such as Django, Django Rest Framework, and database systems like MySQL/PostgreSQL
Experience in Kubernetes (EKS) or ECS.
Familiarity with modern data tools such as dbt, Databricks, Airflow, Spark, and Snowflake for enabling data-driven solutions.
Experience with event streaming solutions such as AWS Kinesis or Kafka
Hands-on experience with AWS architectures, such as microservices or serverless patterns.
Familiarity with NoSQL document databases such as DynamoDB or MongoDB

Responsibilities:

Leverage your outstanding technical expertise to deliver high-quality, secure, and scalable code.
Design and implement backend systems that are resilient, performant, and capable of delighting care teams in a healthcare setting.
Collaborate closely with the data team to build and maintain integrations, pipelines, and APIs that enable seamless access to critical data.
Architect solutions using AWS services such as Lambda, S3, DynamoDB, Step Functions, RDS, and ECS, with a focus on scalability and reliability.
Support the development and optimization of data workflows using modern tools like dbt, Databricks, and Snowflake.
Stay up-to-date on modern security design principles, identify threats, and implement preventive measures across cloud architectures.
Continuously learn new technologies and thrive in a fast-paced, dynamic environment.
Collaborate effectively with the team, fostering a culture of growth and shared success – a rising tide lifts all boats.

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