Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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Vytalize Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

☁️ SaaS

⚕️ Healthcare Insurance

💰 $100M Series C - Vytalize Health on 2023-02

B2B • SaaS • Healthcare Insurance

Vytalize Health is a healthcare technology and services company that helps primary care practices and Accountable Care Organizations (ACOs) transition to value-based care. It combines data-driven analytics, virtual and in-home clinical support, and care management services to improve patient outcomes, enable Medicare-approved remote services for chronic conditions, and help practices earn shared savings under value-based contracts. Vytalize partners with independent PCPs, group practices, community health centers and existing ACOs to deliver clinical enablement, practice-tailored workflows, and performance insights.

📋 Description

• Handle support tickets and operational issues reported by internal teams and external partners; investigate root causes and coordinate resolution with senior engineers • Perform KTLO (Keep The Lights On) tasks including monitoring pipeline health, responding to alerts, validating data quality, and investigating data anomalies • Conduct data source discovery and profiling work — examining raw data sources, documenting data structure, identifying quality issues, and recommending integration approaches • Assist with data validation and testing — writing SQL queries to validate data transformations, identifying gaps and inconsistencies, and flagging issues for review • Support data quality initiatives by running diagnostics, documenting data quality findings, and escalating issues with clear context for senior engineers • Assist in establishing and monitoring data quality metrics — working with senior engineers to define quality KPIs and track pipeline health • Help maintain and improve documentation for existing data systems, pipelines, and data sources — documenting schemas, transformation logic, and known issues • Assist senior engineers with debugging data pipeline issues — tracing data through transformations, validating intermediate outputs, and comparing expected vs. actual results • Conduct quality assurance activities — reviewing data outputs, testing transformations, and validating correctness before data reaches downstream consumers • Perform exploratory data analysis to understand data patterns, support analytics requests, and help answer business questions about data availability and quality • Learn and apply data engineering best practices including version control (Git), code review processes, and testing frameworks under guidance from senior engineers • Support infrastructure and operational tasks as assigned — assisting with deployments, maintaining environments, and supporting on-call activities • Participate in knowledge-sharing and mentorship; ask questions, document learnings, and contribute to team documentation and runbooks

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent hands-on experience • Strong SQL proficiency — ability to write queries to explore, validate, and analyze data • Proficiency in Python or another programming language; comfort writing scripts and automation • Basic understanding of data modeling, ETL/ELT concepts, and data pipeline architecture • Familiarity with version control (Git) and collaborative development practices • Strong communication skills; ability to document findings clearly and ask clarifying questions • Analytical mindset and strong problem-solving skills, especially for data quality and debugging tasks • Attention to detail and commitment to data accuracy and reliability • Basic understanding of data quality concepts and the importance of testing and validation • Willingness to learn from experienced engineers and grow into a full data engineer role

🏖️ Benefits

• Health insurance • Professional development opportunities