Data Operations Engineer

Summit Health

3d•$170,000 - $180,000•Remote

About The Position

We’re a physician-led, patient-centric network committed to simplifying health care and bringing a more connected kind of care. Our primary, multispecialty, and urgent care providers serve millions of patients in traditional practices, patients' homes and virtually through VillageMD and our operating companies Village Medical, Village Medical at Home, Summit Health, CityMD, and Starling Physicians. When you join our team, you become part of a compassionate community of people who work hard every day to make health care better for all. We are innovating value-based care and leveraging integrated applications, population insights and staffing expertise to ensure all patients have access to high-quality, connected care services that provide better outcomes at a reduced total cost of care. Please Note: We will only contact candidates regarding your applications from one of the following domains: @summithealth.com, @citymd.net, @villagemd.com, @villagemedical.com, @westmedgroup.com, @starlingphysicians.com, or @bmctotalcare.com. EMPLOYER: Village Practice Management Company, LLC DBA VillageMD JOB POSITION: Data Operations Engineer LOCATION: 1 Diamond Hill Road, Berkeley Heights, NJ 07922. Position may telecommute from anywhere in the U.S.

Requirements

This position requires at least a Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field and at least five (5) years of post-baccalaureate, progressive experience analyzing and processing complex data sets (any title) using advanced querying, visualization and analytical tools, and gathering or providing understanding of business requirements.
Position also requires at least three (3) years of experience participating in performance improvement, developing aspects of the application database, and using Snowflake, Jira, Git, PL/SQL, and SQL.

Responsibilities

Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive business growth.
Build scalable data pipelines leveraging orchestration technologies allowing for easy monitoring and troubleshooting.
Design data models for optimal storage and retrieval and to meet critical product and business requirements.
Improve data quality by using and improving internal tools to automatically detect issues.
Design and implement data pipelines and data summarization processes using SQL and apply understanding of relational data structures.
Create a summary data platform supporting presentation layer that allows clinicians and operators in our practices to pinpoint interventions on-demand to patients most in need.
Work with analytics, engineering, and operations to design and implement new analytics products that support improving patient health.
Follow data best practices, including engagement in project status meetings and self-education on new technologies and practices.
Design a new concept within employer’s data model to meet a new operational or analytical need.
Utilize the following tools/technologies: Snowflake, Python, Scala, Java, Apache Spark, GitHub, Git, Jira, SQL, PL/SQL, and Jenkins.