What you'll do

• Define and own the core business and operational metrics that quantify the network health of our clearinghouse.
• Build robust data models, transformations, and pipelines (primarily in DBT and Redshift) that power dashboards, alerts, investigative workflows, and internal operations tooling.
• Instrument observability across the network by designing dashboards, automated reports, anomaly detection, and real-time alerts that help Network Operations and Engineering identify issues quickly and continuously improve payer routing and API logic.
• Build internal tools, scripts, validation checks, and runbooks that automate decision-making, accelerate root-cause analysis, and improve the reliability and performance of our transaction network.
• Investigate, diagnose, and resolve data issues related to payer behavior, eligibility errors, network slowdowns, and unexpected claim patterns. Then own problems through to resolution.
• Manage a well defined backlog of issues in GitHub

Who you are

• You have exceptional analytics and documentation skills: You’ve built systems, models, or pipelines that turn messy operational data into trustworthy, production-grade insights. You understand data quality, lineage, reproducibility, and treat analytics as an engineering discipline.
• You know the tech stack. You are fluent in the modern data stack and an expert in SQL. You design schemas and models that scale with data volume and complexity. You instrument observability into every layer of your work. You apply new AI tooling to accelerate analysis and automate workflows.
• You build impactful data tools. You automate repetitive work, validate assumptions, and systematize analyses. You build internal tools, scripts, and data checks to make the transformations more reliable. You proactively identify data gaps or inconsistencies and design solutions rather than work around them.
• You create and execute your own work: You are relentlessly curious and dive deep into raw logs, payloads, schemas, and transformations to understand how the product actually works. You generate your own hypotheses, validate them with data, and propose changes backed by evidence. You do not want a role where someone hands you requirements.
• You do what it takes to get the job done. You are resourceful, self-motivating, self-disciplined, and don’t wait to be told what to do. You put in the hours.
• You move quickly. We move quickly as an organization. This requires an ability to match our pace and not get lost by responding with urgency (both externally to payers and internally to stakeholders), communicating what you are working on, and proactively asking for help or feedback when you need it.
• You are a “bottom feeder”. You love the details. You comb through edge cases, anomalies, logs, and payload-level nuance because that’s where system-level insights often hide. You’ll chase down a one-off rejection code, a malformed file, or an unexpected eligibility pattern because you know it may lead to a more reliable network or lower operational cost.