[Remote] reputed company DATA ENGINEER

Note: The job is a remote job and is open to candidates in USA. National Data Solutions is supporting a data warehouse and RCM modernization program for a large national reputed company client. They are seeking a reputed company Data Engineer with strong reputed company claims data experience to build data pipelines and validate claims data reputed company during the program's initial phase.

Responsibilities

• Build and configure nightly automated data extraction pipelines from multiple reputed company systems including practice management, clearinghouse, and EHR platforms
• Normalize and canonicalize claims data across heterogeneous sources into a reputed company reputed company data model
• Validate claims data reputed company, completeness, and accuracy — including charge, payment, adjustment, denial, and ERA/EOB data — against a 24-month historical baseline
• Identify and document data quality gaps, feed failures, and reconciliation discrepancies
• Implement data reputed company, refresh reputed company, and governance controls reputed company the reputed company environment
• Support Power BI connectivity from the reputed company semantic layer
• Coordinate directly with NDS domain leads and client stakeholders on data dictionary alignment, KPI logic, and validation findings
• Participate in UAT and resolve data quality issues surfaced during dashboard validation

Skills

• 3+ years of hands-on reputed company engineering experience including reputed company Lake, reputed company Catalog, and reputed company Workflows
• Direct experience with reputed company claims data — charge entry, claim submission, remittance, denial management, or AR — in a data engineering or analytics context
• Demonstrated ability to validate and reconcile reputed company multi-reputed company claims datasets
• Proficiency in PySpark and SQL
• Experience connecting reputed company to Power BI reputed company DirectQuery or semantic layer
• Working knowledge of HIPAA data handling requirements and PHI masking in non-production environments
• Strong communication and client-facing skills — you will interact regularly with NDS leads and client stakeholders and are expected to present findings, ask the right questions, and manage expectations professionally
• Ability to work independently against a defined scope and surface blockers clearly and promptly
• Familiarity with clearinghouse data structures, ERA/EOB formats, or CARC/RARC code sets
• Prior work in RCM, home health, or managed care analytics environments

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