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Fhir Remote Jobs in Rochester, NY (NOW HIRING)

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines * Document AI with ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines * Document AI with ...

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Fhir Remote information

What is a FHIR remote job?

FHIR remote jobs are positions that involve working with the Fast Healthcare Interoperability Resources (FHIR) standard while allowing employees to work remotely, often from home or any location outside of a traditional office. These roles typically focus on developing, implementing, or supporting healthcare data applications that use FHIR to enable interoperability between different healthcare systems. FHIR remote jobs can include software development, data integration, solution architecture, and technical support, among others. They are in high demand as healthcare organizations increasingly adopt digital solutions and require secure, standards-based data exchange. Remote FHIR jobs offer flexibility and the opportunity to work with cutting-edge healthcare technology.

What skills and qualifications are needed to thrive as a FHIR remote specialist?

To thrive as a FHIR Remote Specialist, you need a strong background in healthcare interoperability standards, particularly HL7 FHIR, along with experience in software development and data integration. Familiarity with tools like Postman, FHIR servers, RESTful APIs, and relevant certifications such as HL7 or FHIR proficiency are commonly required. Excellent problem-solving abilities, communication skills, and the capacity to work independently are valuable soft skills in this role. These competencies ensure efficient, secure, and accurate healthcare data exchange across systems, supporting better patient outcomes and compliance.

What are common challenges faced by professionals working in remote FHIR roles, and how can they be addressed?

Remote FHIR professionals often encounter challenges such as managing complex interoperability requirements across diverse healthcare systems and collaborating effectively with distributed teams. Staying aligned on project goals and standards can be difficult without regular in-person meetings, so leveraging collaborative tools and maintaining clear documentation are essential. Additionally, keeping up with evolving FHIR specifications and ensuring compliance with healthcare data privacy regulations can require ongoing professional development. Proactively participating in virtual team stand-ups and industry forums can help address these challenges and support success in the role.

What is the difference between Fhir Remote vs Fhir Analyst?

AspectFhir RemoteFhir Analyst
Required CredentialsHealthcare IT certifications, knowledge of FHIR standardsHealthcare IT certifications, FHIR expertise
Work EnvironmentRemote, healthcare IT teamsHealthcare facilities, IT departments
Employer & Industry UsageHealth tech companies, hospitalsHospitals, clinics, health IT firms
Search & Comparison IntentRemote healthcare IT rolesFHIR data analysis roles

Fhir Remote roles focus on remote healthcare IT tasks involving FHIR standards, while Fhir Analysts typically work on analyzing and implementing FHIR data within healthcare organizations. Both require similar certifications but differ mainly in work setting and specific job functions.

What are popular job titles related to Fhir Remote jobs in Rochester, NY?

For Fhir Remote jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Fhir Remote jobs in Rochester, NY look for?

The top searched job categories for Fhir Remote jobs in Rochester, NY are:

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AI Data Architect

Innovative Solutions

Rochester, NY • Remote

$150K - $200K/yr

Full-time

Re-posted 16 days ago

Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS — from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.

Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter

What You'll Do:

  • Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
  • Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
  • Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
  • Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
  • Configure data warehouse platforms — Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe, Databricks with Delta Lake and Auto Loader
  • Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
  • Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
  • Design SageMaker ML pipelines for training, Model Registry, and inference
  • Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
  • Mentor delivery team members on data architecture patterns and AWS data services
  • Contribute to R&D projects evaluating emerging AWS data and AI capabilities
 

Required Skills:

  • 5+ years professional IT experience, 2+ years professional AWS experience
  • At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
  • Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
  • SQL and NoSQL on AWS — Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB — including schema design and query optimization
  • Data modeling — conceptual, logical, and physical models for AWS data platforms; normalized silver-layer schemas, denormalized star/snowflake gold-layer schemas, data dictionaries
  • Dimensional modeling and medallion architecture (bronze/silver/gold) on Redshift, Snowflake, or Databricks, including materialized views and incremental refresh patterns
  • AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
  • S3 data lake architecture with partitioning, lifecycle policies, and encryptions
 

Preferred:

  • RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
  • Amazon SageMaker for ML training, Model Registry, and inference
  • AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
  • Document AI with Amazon Textract and Comprehend
  • Amazon Athena, QuickSight, or PowerBI integration
  • Terraform or CloudFormation for data infrastructure as code
  • Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration

The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.