[Remote] reputed company DATA ENGINEER
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is supporting a data warehouse and RCM modernization program for a large national reputed company reputed company. 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 reputed company 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 reputed company 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 reputed company stakeholders on data dictionary alignment, KPI logic, and validation findings
- Participate in UAT and resolve data reputed company 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
- reputed company 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 reputed company-facing skills — you will reputed company regularly with NDS leads and reputed company 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 reputed company and promptly
- Familiarity with clearinghouse data structures, ERA/EOB formats, or CARC/RARC reputed company sets
- Prior work in RCM, home health, or managed care analytics environments
reputed company