Anovia (formerly Innovatia Technical Services) is an industry-leading technology outsourcing support provider with expertise in the telecommunications industry. Operating for over 20 years, we specialize in workflow and knowledge processes, as well as technical support, helpdesk and multilingual support services. The SQL Database Engineer II is responsible for extracting, transforming, and validating clinical and administrative data from ambulatory EHR/EMR systems to support CMS MIPS and Value-Based Care reporting. The role requires strong expertise in SQL, HL7, CCDA, FHIR, EDI 837/835, EMR database schemas, and data pipeline engineering to ensure accurate, secure, and audit-ready regulatory submissions.
Extract, transform, and validate patient clinical data from EMR/EHR systems using HL7 v2.for clinical measure mapping.
Troubleshoot inconsistent or malformed HL7 messages and resolve data quality gaps with vendors.
Build robust parsing logic to normalize data across heterogeneous EMR systems.
EMR/EHR Database Querying & Measure Data Retrieval
Query EMR databases (NextGen, eCW, Greenway, Athena, etc.) 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.
Maintain and enforce engineering implementation standards, documentation requirements, and build methodologies.
Lead efforts to improve standard configurations, automation, templates, and reusable frameworks.
Ensure engineering quality and consistency through audits, peer reviews,



and structured validation.
Data Pipeline Engineering & Transformation
Build scalable ingestion pipelines using SQL, Spark (batch & streaming), Python, Databricks, EMR, or OCI Data Flow.
Develop metadata-driven pipelines supporting multiple clients and EMR platforms.
Implement data quality frameworks (DQ checks, thresholds, reconciliation reports).
Regulatory Data Support for MIPS & Value-Based Care
Support MIPS Advisors with extraction of numerator/denominator data for clinical quality measures.
Map EHR data elements to CMS measure logic, identifying gaps or vendor remediation needs.
Validate that clients meet 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.
Healthcare Data Domain Expertise.
HL7 Parsing & Clinical Data Interpretation.
SQL / ETL Engineering Excellence.
Quality Assurance & Data Governance.
Cloud Engineering & Contemporary Data Stack Proficiency.
Diligence & Regulatory Mindset.
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.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.
Attractive leave policy: Holiday Leave, Maternity Leave, Paternity Leave, Birthday leave, Bereavement Leave and Paid Leave for personal time off.
Ample growth and learning opportunities.
Work from home opportunities.
Focus on work/life balance.
Immigration Program supporting immigration to Canada for eligible employees.

📌 SQL Server Database Developer - Fully Remote (India)
🏢 Anovia
📍 India