{"id":176029,"url":"https://alion.io/job/adonis-senior-software-engineer-data-platform","title":"Senior Software Engineer - Data Platform","company":{"id":63153,"name":"Adonis","domain":"adonis.io","url":"https://alion.io/company/adonis","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":190000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Claude Code","optional":false},{"name":"Datadog","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Fargate","optional":true},{"name":"HIPAA","optional":true},{"name":"IAM","optional":true}],"status":"live","first_seen_at":"2026-04-13T21:45:34Z","employer_posted_date":"2026-04-13","last_verified_at":"2026-10-17T03:42:14Z","board_verified":true,"closed_at":null,"days_open":186,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":185},"description":"The Role\nYou 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.\nThe 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.\nWhat You Will Do\nOwn a major platform workstream end to end, from ambiguous requirements through architecture, delivery, and production operation.\n\nBuild production-grade pipelines that treat idempotency, late-arriving data, backfills, and failure recovery as first-class concerns.\n\nDesign EHR extract infrastructure against Epic Clarity, athenahealth, and ODBC-based sources, working through the data quality and variability that healthcare data brings.\n\nTurn raw data into curated, trusted models. You understand the difference between moving data and modeling it.\n\nShape technical direction for your pod: mentor peers, review designs, and influence decisions beyond your own tickets.\n\nPartner with product, forward-deployed engineering, and customer-facing teams. Translate technical constraints into business impact and surface trade-offs before you are asked.\n\nOwn platform health: observability, access control, and warehouse cost, including query profiles, clustering, and credit consumption.\n\nRun what you build. Engineers on this team support their pipelines in production, including on-call.\n\nDevelop AI-natively. AI coding tools (Claude Code and similar) are part of how this team designs, builds, and reviews.\n\nWhat You Will Bring\n5+ years building and operating production data systems, with clear personal ownership of at least one non-trivial pipeline or platform component end to end.\n\nStrong Python and advanced SQL. Comfortable in large warehouse schemas and performance tuning.\n\nHands-on experience with a modern warehouse (Snowflake preferred) and an orchestration framework (Temporal, Airflow, Prefect, or similar). Transformation frameworks like SQLMesh or dbt.\n\nYou have run into production reality: you can name where your designs broke under load and what you changed.\n\nYou scope before you solve - you ask about volume, latency, and SLAs before drawing boxes.\n\nYou operate without constant direction: self-directed, escalating strategically, comfortable with ambiguity and reprioritization.\n\nNice to Have\nHealthcare data experience: EHR integrations, HL7/FHIR, claims data (837/835), payer nuance, PHI/HIPAA constraints.\n\nEarly-stage or resource-constrained environments; evidence of building foundational infrastructure from scratch.\n\nAWS infrastructure depth (IAM, S3, ECS/Fargate) and observability practice (Datadog).\n\nThe 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.\nAbout Adonis\nAdonis 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.\nAdonis 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.\nCompensation Philosophy\nActual base pay will depend on job-related knowledge, skills, and experience. Adonis determines compensation based on each candidate’s experience and qualifications relative to peers, and most new hires fall near the middle of the range. In addition to base salary, you’ll receive meaningful equity and great benefits.\nPerks at Adonis\nCompetitive equity packages\n\nEmployer-paid medical insurance\n\nEmployer-paid dental insurance\n\nEmployer-paid vision insurance\n\nEmployer-funded HSA\n\nParental leave\n\nCommuter benefits\n\nOffice lunches every day\n\nOffice snacks\n\nGenerous PTO\n\nLocated in 3 World Trade Center with easy access to all trains and the PATH, and amazing views of the city\n\nAdonis is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.\nAt Adonis, we fully comply with the Americans with Disabilities Act (ADA). 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