Machinify
1001 - 5000 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
💰 $10M Series A - Machinify on 2018-10
Healthcare • Consulting • Logistics
Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.
Staff Data Engineer, Core Migrations
🕒 June 30
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Machinify
1001 - 5000 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
💰 $10M Series A - Machinify on 2018-10
Healthcare • Consulting • Logistics
Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.
📋 Description
• Own client migrations end to end, from legacy analysis through production deployment, go-live, and hypercare • Lead discovery and technical due diligence of poorly documented legacy systems, including ETL, stored procedures, reporting layers, and file feeds • Reverse-engineer complex undocumented legacy systems and reconstruct embedded business logic • Resolve ambiguity by identifying unknowns and obtaining answers from clients, SMEs, and Operations • Architect and build production-grade Airflow DAGs and Spark migration pipelines • Own ingestion, reconciliation, edge cases, payer-specific carve-outs, business-rule exceptions, and steady-state handoff • Make and document architectural decisions involving pipeline design, partitioning, and validation • Build automated reconciliation frameworks to verify migrated output matches source data row by row • Coordinate scope, sequencing, risks, UAT, and sign-off across Operations, Client Success, Platform Engineering, SMEs, and clients • Codify runbooks and retrospectives, mentor L3/L4 engineers, and develop reusable migration tooling
🎯 Requirements
• 8+ years of hands-on experience as a Data Engineer or Software Engineer • Demonstrated experience independently owning complex, multi-stakeholder technical projects from start to finish • Strong Python and SQL skills, including working with complex unfamiliar legacy code • Deep understanding of Apache Spark distributed processing, performance tuning, partitioning, and debugging at scale • Advanced Apache Airflow skills, including designing and authoring production DAG architectures from scratch • Active use of AI coding agents such as Claude, Copilot, Cursor, or equivalent • Prompt-engineering skills for code generation, debugging, and documentation • Ability to critically evaluate and trust AI output • Experience reconstructing intent from legacy ETL code and translating it to a modern stack • Experience with SSIS, SQL Server stored procedures, T-SQL, or equivalent • Experience designing automated data validation and reconciliation frameworks at scale • Proficiency with AWS S3 and cloud-native data patterns, including partitioned object storage, secure cross-account access, and cost/performance trade-offs • Proven cross-functional coordination across engineering, operations, and client-facing teams • Ability to write discovery specifications, architecture documents, and stakeholder updates for technical and non-technical audiences • Rigorous data-first mindset and experience guaranteeing data fidelity between legacy and modern systems
🏖️ Benefits
• Work from anywhere in the US • Full Medical/Dental/Vision for employees & their families • Flexible and trusting environment where you’ll feel empowered to do your best work • Unlimited FTO • Competitive salary • Equity • 401(k) including employer match • Meaningful equity • Excellent healthcare • Flexible time off
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