Senior DBE & Integration Expert

Posted 3 Days Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Healthtech • Professional Services
The Role
Designs and maintains SQL databases, ETL/ELT pipelines, integrations, data models, and reporting datasets across healthcare and operational systems. Owns source-to-target mapping, reconciliation, data quality, performance optimization, monitoring, incident response, practice onboarding, and production documentation. Supports Tableau dashboards and AI/ML data enablement while coordinating with application, automation, product, vendor, and business teams.
Summary Generated by Built In
Database Engineering & Data Architecture
  • Design, develop, optimize, and maintain SQL-based data structures, stored procedures, views, functions, staging tables, and reporting-ready data layers.
  • Support SQL Server, Azure SQL, and Snowflake-style data environments used for transactional, analytical, and reporting workflows.
  • Improve database performance through indexing, query optimization, partitioning, archival strategies, and execution plan review.
  • Implement reliable backup, retention, and recovery practices for critical data repositories and integration databases.
ETL / ELT Pipeline Development
  • Build and maintain ETL/ELT pipelines that ingest data from PMS, EHR, payer, vendor, and internal operational systems.
  • Develop transformation logic for charges, payments, adjustments, denials, AR, encounters, CPT/ICD/HCPCS, provider, department, and practice-level data elements.
  • Create reusable data pipeline patterns for new practice onboarding and recurring data refreshes.
  • Implement error handling, retry logic, logging, alerting, and reconciliation checkpoints across integration workflows.
System Integration Ownership
  • Lead end-to-end integration design for source-system connectivity, mapping, validation, and downstream consumption.
  • Work with REST APIs, flat-file transfers, database extracts, scheduled jobs, automation outputs, and vendor data feeds.
  • Translate business requirements into data contracts, mapping documents, technical specifications, and implementation plans.
  • Partner with application and automation teams to ensure data from integrations is usable by internal tools and workflows.
Data Quality, Validation & Reconciliation
  • Perform root cause analysis for missing records, duplicate records, incorrect counts, refresh timing issues, source-to-target mismatches, and dashboard discrepancies.
  • Create validation queries and exception reports to compare source-system data against Snowflake/SQL/reporting layers.
  • Define key matching logic using identifiers such as account number, encounter ID, claim ID, CPT, posting date, service date, provider, payer, and practice identifiers.
  • Document known limitations, assumptions, dependencies, and remediation steps for recurring data issues.
Analytics, Dashboard & AI Data Enablement
  • Prepare reliable data models and datasets for Tableau, internal Insights platforms, operational dashboards, and AI/ML use cases.
  • Support reporting datasets for AR, KPI, denial, eligibility, charge/payment/adjustment, and practice-level operational reporting.
  • Collaborate with visualization teams to align dashboard definitions, refresh timing, filters, drill-down tables, and reconciliation logic.
  • Support curated datasets for AI-assisted workflows while following data governance, privacy, and compliance requirements.
Production Monitoring & Incident Response
  • Monitor integration health, scheduled jobs, data loads, storage consumption, performance bottlenecks, and job failures.
  • Respond to production incidents with clear triage, impact analysis, stakeholder updates, corrective action, and permanent fix recommendations.
  • Implement proactive notifications for completed, failed, delayed, or partially loaded pipeline runs.
  • Maintain operational runbooks and handover documentation for critical systems and recurring production activities.
Practice Onboarding & Cross-Functional Collaboration
  • Participate in knowledge transfer sessions for new practices and source-system integrations.
  • Assess feasibility, identify data availability gaps, and define technical prerequisites before implementation begins.
  • Coordinate with operations, product owners, developers, automation engineers, dashboard developers, vendors, and business stakeholders.
  • Provide clear, timely updates on integration status, risks, blockers, and data quality issues.
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The Company
Louisville, KY
230 Employees
Year Founded: 1996

What We Do

Advantum Health helps healthcare providers and health systems maximize revenues and practice medicine without administrative burden.

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