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What are the key skills and qualifications needed to thrive as a Remote Intersystems Cache Developer, and why are they important?

To thrive as a Remote Intersystems Cache Developer, you need strong programming skills in ObjectScript, experience with database design, and a solid understanding of healthcare data standards, typically supported by a degree in computer science or a related field. Familiarity with Intersystems Cache/IRIS, HL7 or FHIR integrations, and certifications like Intersystems Certified Developer are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help developers excel in distributed teams. These skills ensure robust, secure, and efficient healthcare application development and seamless collaboration in a remote work environment.

How do Remote Intersystems Cache Developers typically collaborate with team members across different locations?

Remote Intersystems Cache Developers frequently work with distributed teams, using collaboration tools like Slack, Microsoft Teams, or Jira to maintain communication and project tracking. Regular virtual meetings are common for discussing requirements, code reviews, and troubleshooting. Developers often interact closely with database administrators, front-end developers, and project managers to ensure seamless integration and performance optimization. Effective remote collaboration requires strong communication skills, self-motivation, and the ability to document code and processes clearly for team visibility.

What are Remote Intersystems Cache Developers?

Remote Intersystems Cache Developers are software professionals who specialize in designing, developing, and maintaining applications using the InterSystems Caché database platform, all while working remotely. They leverage their expertise in Caché's object-oriented and SQL database features to build high-performance, scalable solutions, often in healthcare or financial industries. These developers collaborate with teams using online tools, troubleshoot issues, and ensure the security and efficiency of database-driven applications from remote locations.
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HIE - Intersystems Consultant (Data Migration to Snowflake/Databricks)

Big Resourcing

Snowflake, AZ • Remote

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

HIE – Intersystems Consultant (Data Migration to Snowflake/Databricks) Location: Remote NYC Contract: Ongoing Contract-Part-time About BigRio: BigRio is a Boston-headquartered, remote‐first technology consulting firm specializing in AI/ML, Cloud Transformation, Data Engineering, Healthcare Modernization, and Digital Innovation. We partner with leading healthcare, life sciences, and enterprise organizations to modernize legacy systems, build intelligent data platforms, and accelerate AI‐driven operations. As part of our expanding Cloud & Data Engineering practice, we are looking for a talented Data Engineer to support a high‐impact healthcare data migration initiative.

About the Role We are seeking a highly skilled HIE Intersystems Consultant with hands‐on experience migrating data from InterSystems to modern cloud data platforms, specifically Snowflake and Databricks. The role focuses on building secure, scalable pipelines to migrate large‐volume datasets (5M+ records), including accurate de‐identification of PHI, ensuring compliance with healthcare privacy standards. You will be a core contributor to BigRio's cloud modernization solutions, working closely with internal stakeholders and client teams.

Key Responsibilities Lead end‐to‐end migration of datasets from InterSystems (Caché/IRIS) to Snowflake and Databricks within BigRio's cloud modernization framework. Build, optimize, and maintain large‐scale ETL pipelines supporting 5M+ records with high performance and reliability. Implement PHI de‐identification and masking processes aligned with HIPAA and BigRio security best practices.

Develop scalable data processing jobs using Databricks (Spark, PySpark, Delta Lake). Integrate data workflows with AWS RDS, Snowflake, and Databricks. Work with BigRio's architecture and AI engineering teams to support analytics, reporting, and ML/GenAI initiatives.

Ensure data quality, monitoring, and validation throughout migration cycles. Maintain documentation of architecture, data lineage, transformation logic, and operational procedures. Collaborate with sill distributed BigRio and client teams across the U.S.

and India. Required Skills & Experience 5+ years as a Data Engineer, with strong cloud engineering experience. Hands‐on expertise with InterSystems (Caché/IRIS) – extraction, schema mapping, transformations.

Strong experience building solutions with Snowflake and cloud‐native data warehousing. Expertise with Databricks, Spark, and PySpark for large‐scale processing. Proven ability to build and optimize ETL pipelines handling 5M+ record volumes.

Strong క్య understanding of PHI de‐identification, HIPAA compliance, and healthcare data workflows. Experience with AWS RDS, SQL, Python, and cloud orchestration tools. Strong foundation in data modeling, performance tuning, and scalable architecture.

Excellent communication skills and comfortable working with global remote teams. Preferred Qualifications Experience with HL7, FHIR, CCD, or healthcare data interoperability. Exposure to dbt, Airflow, Step Functions, or similar orchestration tools.

Experience in healthcare data modernization or cloud migrations. Apply Now. #J-18808-Ljbffr

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