Senior Software Engineer - Data Platform

You will own workstreams end to end on the Data Platform team: designing, building, and operating the pipelines and warehouse infrastructure that move healthcare data from source systems into production. This is a senior IC role. You will make defensible architecture decisions, ship them, run them in production, and raise the bar for the engineers around you.

The stack: Snowflake, SQLMesh, Temporal, Python, AWS, Fivetran, and Datadog, organized around a medallion architecture. The problems: high-volume EHR extract infrastructure (Epic Clarity, Athena, ODBC-based sources), core entity modeling shared across every product surface, health-system readiness at enterprise scale, warehouse cost and access governance, and pipeline reliability with real SLAs.

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  Own a major platform workstream end to end, from ambiguous requirements through architecture, delivery, and production operation.

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  Build production-grade pipelines that treat idempotency, late-arriving data, backfills, and failure recovery as first-class concerns.

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  Design EHR extract infrastructure against Epic Clarity, athenahealth, and ODBC-based sources, working through the data quality and variability that healthcare data brings.

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  Turn raw data into curated, trusted models. You understand the difference between moving data and modeling it.

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  Shape technical direction for your pod: mentor peers, review designs, and influence decisions beyond your own tickets.

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  Partner with product, forward-deployed engineering, and customer-facing teams. Translate technical constraints into business impact and surface trade-offs before you are asked.

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  Own platform health: observability, access control, and warehouse cost, including query profiles, clustering, and credit consumption.

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  Run what you build. Engineers on this team support their pipelines in production, including on-call.

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  Develop AI-natively. AI coding tools (Claude Code and similar) are part of how this team designs, builds, and reviews.

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  5+ years building and operating production data systems, with clear personal ownership of at least one non-trivial pipeline or platform component end to end.

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  Strong Python and advanced SQL. Comfortable in large warehouse schemas and performance tuning.

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  Hands-on experience with a modern warehouse (Snowflake preferred) and an orchestration framework (Temporal, Airflow, Prefect, or similar). Transformation frameworks like SQLMesh or dbt.

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  You have run into production reality: you can name where your designs broke under load and what you changed.

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  You scope before you solve - you ask about volume, latency, and SLAs before drawing boxes.

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  You operate without constant direction: self-directed, escalating strategically, comfortable with ambiguity and reprioritization.

• Healthcare data experience: EHR integrations, HL7/FHIR, claims data (837/835), payer nuance, PHI/HIPAA constraints.

• Early-stage or resource-constrained environments; evidence of building foundational infrastructure from scratch.

• AWS infrastructure depth (IAM, S3, ECS/Fargate) and observability practice (Datadog).
  

The base salary range for this position is $190,000 to $210,000. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

Adonis is the leading AI orchestration platform for healthcare revenue cycle management (RCM), purpose-built for healthcare organizations seeking to transform their revenue operations. Traditional RCM processes often struggle with inefficiencies, costing providers up to 15% or more of their potential revenue. Through advanced automation, data science, and AI Agents, Adonis helps revenue teams detect vulnerabilities, optimize workflows, and deploy precise solutions that drive reliable and scalable financial outcomes.

Adonis is headquartered in New York City and has raised over $95M in funding, including a recent $40M Series C round led by Quadrille Capital with continued support from existing investors such as General Catalyst and Bling Capital. This funding supports our mission to restore sanity to RCM and equip provider groups and health systems with AI-driven revenue cycle operations at scale.