Senior Data Engineer

March 29

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Wellvana

Wellvana is a company focused on transforming primary care through value-based care models. They provide essential support to independent physicians and health systems, helping them navigate the challenges associated with transitioning from fee-for-service to value-based payment structures. Wellvana emphasizes a personalized approach, offering data-driven insights and a range of wraparound services designed to improve patient outcomes and reduce healthcare costs. Their aim is to empower healthcare providers to thrive in the evolving landscape of primary care.

Value-based care • care management • health tech

201 - 500 employees

Founded 2018

⚕️ Healthcare Insurance

💳 Fintech

☁️ SaaS

💰 $84M Series B on 2023-03

📋 Description

• As a Sr. Data Engineer, you will be a crucial part of the Wellvana technology team responsible for the data platform and pipelines used across the organization • Design, build, and maintain scalable data pipelines from scratch • Optimize existing data pipelines for performance, reliability, and efficiency • Architect and manage cloud-based data infrastructure • Utilize data orchestration tools to schedule and monitor workflows • Develop and optimize complex SQL queries and scripts for data processing • Design and implement real-time data streaming solutions • Build and maintain API-based data integrations to facilitate seamless data exchange between systems • Work with data processing frameworks for efficient data transformations • Implement best practices for data modeling, governance, and security • Deploy and manage containerized applications using Kubernetes • Develop and maintain CI/CD pipelines to streamline data deployment and integration processes • Collaborate with cross-functional teams, including analytics, product, and engineering, to ensure data availability and quality • Stay current with industry trends and emerging technologies to continuously improve data engineering practices

🎯 Requirements

• Bachelor’s degree in Computer Science, Management Information Systems, or a related field, or equivalent experience • 4+ years of data engineering experience • 3+ years of cloud engineering experience • 2+ years of senior product management experience • 3+ years of Python and SQL experience • dbt experience is a plus • Health care data experience is a plus • Strong expertise in Python, dbt, and SQL for data transformation and manipulation • Proficiency in data orchestration tools like Apache Airflow or Dagster • Experience working with data warehouses such as Snowflake • Proficiency in big data technologies such as Apache Spark • Experience with real-time data streaming technologies like Kafka is a plus • Strong understanding of API-based data integrations • Knowledge of CI/CD practices for data engineering • Familiarity with containerization tools like Docker and Kubernetes • Strong analytical and problem-solving skills with the ability to work in a fast-paced environment • Excellent communication skills • Experience with workflow automation and data governance best practices

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March 28

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