Software Engineer - Interoperability & Data Platforms Job at SGS Consulting, Remote

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  • SGS Consulting
  • Remote

Job Description

Job Responsibilities:

  • Design, configure, and develop FHIR based interoperability solutions using SmileCDR.
  • Implement and support HL7 FHIR resources (US Core, Da Vinci, CMS mandated APIs).
  • Develop and maintain RESTful APIs for Patient Access, Provider Directory, Prior Authorization, and Payer to Payer use cases.
  • Build API integrations using JavaScript, REST, OAuth2, and JSON payloads.
  • Integrate external interoperability platforms such as Redox and third party healthcare APIs.
  • Support API performance, monitoring, security, and compliance.
  • Configure and manage SmileCDR repositories, FHIR endpoints, and data ingestion pipelines.
  • Develop FHIR mapping, transformation, and validation logic.
  • Implement SmileCDR workflows, interceptors, subscriptions, and data persistence strategies.
  • Support SmileCDR upgrades, patches, and production troubleshooting.
  • Design and build large scale, high volume ETL/ELT pipelines supporting clinical, claims, and member datasets.
  • Develop pipelines using Python, PySpark, and distributed processing frameworks.
  • Perform Source to Target Mapping, data transformations, and data quality validations.
  • Support incremental, batch, and near real time ingestion patterns.
  • Develop and maintain data pipelines using Informatica Big Data Management (BDM).
  • Implement mappings, workflows, and transformations for Hadoop based and cloud data platforms.
  • Integrate Informatica BDM with Hadoop, Hive, Spark, and cloud storage.
  • Optimize BDM jobs for performance, scalability, and reliability.
  • Support metadata management, lineage, and operational monitoring.
  • Work with modern data engineering tools and platforms, including:
  • DBT – transformations, modeling, and analytics ready datasets
  • Starburst / Trino – federated query and analytics
  • Apache Iceberg – large scale table format and versioned datasets
  • GCP / BigQuery – cloud native analytics and storage
  • Use Smile ETL tools and enterprise ingestion frameworks.
  • Support hybrid architectures spanning on prem Hadoop and cloud platforms.
  • Build and maintain CI/CD pipelines using GitLab Pipelines.
  • Follow DevOps best practices for source control, automated testing, and deployments.
  • Support cloud deployments on GCP.
  • Ensure secure, repeatable, and compliant deployments across environments.
  • Partner with product owners, architects, vendors, and compliance teams.
  • Support CMS ONC regulatory timelines and audit readiness.
  • Participate in code reviews, design reviews, and technical documentation.
  • Provide production support and root cause analysis for critical data and API pipelines.

Skills:

  • Interoperability, FHIR/HL7, SmileCDR, ETL/ELT, DataWorks platforms, Python, PySpark, CMS ONC, Hadoop, Informatica Big Data Management (BDM)

Education/Experience:

  • SmileCDR (FHIR repository, configuration, ingestion, and APIs)
  • HL7 FHIR (US Core, Da Vinci implementation experience)
  • REST APIs, OAuth2, JSON
  • JavaScript for API and integration development
  • Redox or equivalent healthcare integration platforms
  • ETL / ELT pipelines for large scale, high volume datasets
  • Python and PySpark
  • Source to Target Mapping
  • Data Modeling
  • Informatica Big Data Management (BDM)
  • Informatica PowerCenter / IDMC (preferred)
  • Hadoop, Hive, Spark
  • DBT
  • Starburst
  • Apache Iceberg
  • GCP / BigQuery
  • GitLab CI/CD Pipelines
  • DevOps and release management practices
  • Cloud platforms (GCP preferred)
  • Healthcare payer or provider interoperability experience
  • CMS ONC / BCBSA mandate experience
  • HL7 FHIR certification or equivalent hands on implementation experience
  • Experience supporting production systems and regulatory reporting
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.

Job Tags

Remote job

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