Remote Data Engineer Healthcare Revenue Cycle

Note: The job is a remote job and is open to candidates in USA. Pinnacle Talent Placement is a mid-to-large healthcare technology company specializing in Revenue Cycle Management (RCM) solutions. They are seeking a Data Engineer to build and maintain production pipelines for their cloud-native data platform, focusing on migrating from legacy systems and ensuring data quality for revenue cycle operations teams. ResponsibilitiesBuild and maintain ETL/ELT pipelines for healthcare data ingestion and transformation across assigned client environmentsMonitor daily ETL job execution across all active feeds resolve failures, missing files, and data quality issues independently before they impact revenue collections or payment postingEvaluate inbound flat file structure, completeness, and data quality to determine the appropriate ETL configuration and mapping approachDesign and implement mapping engines and processes for inbound claims (837I/837P), remittance (835), claims status (277), and supplemental payer files translating file specs into production-ready ingestion logicDefine and apply mapping rules for new and modified feed configurationsImplement data quality checks and validation logic to ensure accuracy and completeness of claims, remittance, and status dataServe as primary ETL contact for internal teams and external payers delivering timely status updates to billing ops, revenue cycle leadership, and technical stakeholdersWrite, test, and optimize SQL transformation logic for high-volume healthcare datasetsSupport synchronization of data between operational data stores (ODS), data warehouses, and analytical platformsEnforce PHI/HIPAA controls throughout all data processing workAssist with migration tasks as the team transitions legacy ETL workflows to Databricks and AzureDocument pipeline logic, data flows, and known edge cases for team knowledge continuityParticipate in code review giving and receiving feedback on implementation qualityEngage directly with revenue cycle operations, billing teams, or product managers to clarify and document data requirements when specs are incomplete or absentTranslate business requirements into technical implementation plans for assigned pipeline work escalating architectural decisions to senior engineers where scope warrantsSkills Must be US Citizen, Green Card, or VISA that DOES NOT need sponsoringResume must be in English25 years of hands-on experience in data engineering or a closely related technical roleBachelor's degree in Computer Science, Information Systems, Data Science, or equivalent practical experienceSolid understanding of SQL writes and debugs complex queries and transformations independentlyHands-on experience with Python for data processing and automation tasksProficiency in at least one ETL/ELT tool Azure Data Factory, Databricks, SSIS, or equivalentSolid understanding of how data moves through ingestion, transformation, and loading stages end-to-endHands-on experience with Azure SQL Database or SQL Server in a production environmentDemonstrated ability to implement data quality checks and handle exception conditions in pipelinesComfortable working in Git-based version control workflowsHands-on experience with healthcare transaction formats 837I/837P, 835, 277 or ability to learn them quickly in contextWorking knowledge of file delivery processes including SFTP and PGP encryption, and experience monitoring ingestion statusWorking knowledge of healthcare billing form types UB-04, CMS-1500 and familiarity with inpatient/outpatient billing and payer adjudication workflowsSolid understanding of HIPAA requirements and PHI handling expectations in a data engineering contextWorks independently on defined tasks without requiring daily directionComfortable asking the right questions to turn vague business needs into concrete technical requirements without waiting to be handed a specCommunicates blockers and trade-offs clearly to teammates and leadsAttention to detail in code, data, and documentationCollaborative in code review gives and receives feedback constructivelyHands-on experience with Databricks, Delta Lake, or SparkHands-on experience with health system source platforms Epic, MEDITECH, Cerner, or AthenaFamiliarity with Medallion Architecture (Bronze / Silver / Gold pattern)Hands-on experience with SSIS, Informatica, or custom middleware integrationsComfortable with NoSQL databases such as MongoDBExposure to CI/CD practices for data workflowsFamiliarity with dbt, Great Expectations, or similar data quality frameworks Note: The job is a remote job and is open to candidates in USA. Pinnacle Talent Placement is a mid-to-large healthcare technology company specializing in Revenue Cycle Management (RCM) solutions. They are seeking a Data Engineer to build and maintain production pipelines for their cloud-native data platform, focusing on migrating from legacy systems and ensuring data quality for revenue cycle operations teams.