Director, Data Engineering

March 29

🎸 Tennessee – Remote

Although this job is listed in Tennessee, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

🚰 Data Engineer

Apply Now

Receive Emails with Similar Jobs

Wellvana

WebsiteLinkedInAll Job Openings

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 Director of Data Engineering, you will be a crucial part of the Wellvana technology team responsible for the data platform and pipelines used across the organization. •You’ll work closely with our engineers, business analysts, medical economics team, actuaries, and more to help define and evolve our platform to meet the growing and changing needs of the business while leading and growing a team of 2-5 data engineers. •Lead, mentor, and develop a team of 3-5 data engineers. •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 •7+ years of data engineering experience •2+ years of leading a data engineering team •5+ years of cloud engineering experience •5+ years of Python and SQL •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 and leadership skills •Experience growing direct reports and building strong team dynamics