
2 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Anovia is a company that designs, orchestrates, and deploys autonomous AI agents—both conversational and voice agents—to deliver enterprise automation services. Their platform focuses on orchestration and enterprise integration, connecting agents with CRM, ERP, ECM systems and APIs to automate workflows like scheduling, collections, and knowledge retrieval. Anovia offers pilots and production deployments (promising a working AI voice agent in 30 days) and emphasizes automation solutions that streamline decisions, workflows, and customer interactions for business users.
🔥 3 minutes ago
🇮🇳 India – Remote
💵 ₹800k - ₹1.4M / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔙 Backend Engineer
👻 Ghost score 0%
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2 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Anovia is a company that designs, orchestrates, and deploys autonomous AI agents—both conversational and voice agents—to deliver enterprise automation services. Their platform focuses on orchestration and enterprise integration, connecting agents with CRM, ERP, ECM systems and APIs to automate workflows like scheduling, collections, and knowledge retrieval. Anovia offers pilots and production deployments (promising a working AI voice agent in 30 days) and emphasizes automation solutions that streamline decisions, workflows, and customer interactions for business users.
• Extract, transform, and validate patient clinical data from EMR/EHR systems using HL7 v2.x, CCDA, and FHIR bundles • Interpret HL7 segments including PID, PV1, ORC, OBR, OBX, DG1, and RXA for clinical measure mapping • Troubleshoot inconsistent or malformed HL7 messages and resolve data quality gaps with vendors • Build parsing logic to normalize data across heterogeneous EMR systems • Query EMR databases such as NextGen, eCW, Greenway, and Athena to extract structured and unstructured clinical data required for MIPS measures • Understand vendor-specific table schemas, metadata dictionaries, and proprietary data models • Translate measure specifications into SQL logic based on CMS MIPS calculation rules • Validate measure completeness, timeliness, and accuracy before client submission • Maintain engineering implementation standards, documentation requirements, and build methodologies • Align engineering work with solution architecture, technology standards, and security baselines • Improve standard configurations, automation, templates, and reusable frameworks • Ensure engineering quality through audits, peer reviews, and structured validation • Build scalable ingestion pipelines using SQL, Spark, Python, Databricks, EMR, or OCI Data Flow • Develop metadata-driven pipelines supporting multiple clients and EMR platforms • Implement data quality frameworks, thresholds, and reconciliation reports • Maintain data lineage, audit trails, and governance compliance for CMS readiness • Support MIPS Advisors with numerator/denominator data for clinical quality measures • Produce audit-ready documentation and reproducible calculations for CMS submission • Map EHR data elements to CMS measure logic and identify gaps or vendor remediation needs • Validate client compliance with annual CMS submission timelines and data completeness requirements • Translate technical data issues into actionable insights for non-technical MIPS Advisors • Coordinate with EMR vendors to resolve data extraction failures or schema changes
• 5+ years in data engineering, healthcare data extraction, or clinical informatics • Deep expertise with SQL, Python, Spark (batch + streaming) on Databricks, EMR, or DataFlow • Strong experience with HL7 v2.x, CCDA, FHIR, EDI X12 (837/835) • Proven ability to query and interpret ambulatory EMR/EHR schemas (NextGen, eCW, Greenway, etc.) • Hands-on optimization experience with Autonomous Data Warehouse, Snowflake, or Redshift • Experience with cloud platforms (AWS, Azure, OCI) • Skilled in building metadata-driven pipelines, implementing data lineage, auditability, and governance • Experience with Airflow or similar orchestration tools • Experience with Git, CI/CD, Terraform, DataOps workflows • Ability to meet deadlines and multitask, manage multiple deadlines, and support regulatory timeframes • Bachelor’s degree in computer science, Information Systems, Health Informatics, or related field • Experience supporting CMS eCQMs, MIPS/MACRA, ACO performance measures, or quality reporting initiatives • Familiarity with clinical terminology (SNOMED, LOINC, RxNorm, CPT/HCPCS, ICD-10) • Experience with Delta Lake / Lakehouse architectures • Previous experience in a healthcare IT vendor, MSP, EMR company, or consulting environment
• Comprehensive Health Insurance policy • Employee Wellness Program with focus on mental health • Robust reward and recognition programs • Company incentive programs offered • Holiday Leave • Maternity Leave • Paternity Leave • Birthday leave • Bereavement Leave • Paid Leave for personal time off • Ample growth and learning opportunities • Remote work opportunities • Focus on work/life balance • Immigration Program supporting immigration to Canada for eligible employees
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