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Remote Intersystems Cache Jobs in Arizona (NOW HIRING)

Remote Intersystems Cache information

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, strong skills in database development, MUMPS or ObjectScript programming, and experience with InterSystems Cache systems are essential, typically supported by relevant IT degrees or certifications. Familiarity with Cache Studio, SQL, HL7 integration tools, and experience with healthcare data standards are commonly required. Excellent problem-solving, attention to detail, and effective remote communication skills distinguish top performers in this role. These competencies ensure efficient database management, secure data handling, and seamless collaboration with distributed teams, which are critical for supporting complex, data-driven applications.

What are some common challenges faced by Remote Intersystems Cache developers, and how can they be addressed?

Remote Intersystems Cache developers often encounter challenges such as troubleshooting connectivity issues, managing system performance remotely, and ensuring data security across distributed environments. Effective communication with on-site teams and thorough documentation are vital for resolving issues efficiently. Familiarity with remote monitoring tools and best practices for secure access can help developers maintain system reliability and performance while working off-site.

What are Remote Intersystems Cache professionals?

Remote Intersystems Cache professionals are IT specialists who work with the InterSystems Caché database management system, often from remote locations. Their responsibilities typically include database administration, application development, performance tuning, and troubleshooting issues related to Caché systems. These professionals are in demand in healthcare, finance, and other industries that rely on high-performance, scalable databases. Remote roles allow organizations to leverage specialized talent regardless of geographic location, ensuring their database infrastructure is well-maintained and optimized.

What is the difference between Remote Intersystems Cache vs Remote Database Developer?

AspectRemote Intersystems CacheRemote Database Developer
CertificationsIntersystems Cache certifications, SQL, database managementSQL certifications, database design, programming languages
Work EnvironmentHealthcare, financial services, enterprise systemsVarious industries including finance, tech, healthcare
Employer UsageHospitals, clinics, enterprise IT firmsTech companies, consulting firms, enterprises

Remote Intersystems Cache specialists focus on managing and developing applications using the Intersystems Cache platform, often within healthcare and enterprise environments. Remote Database Developers have broader roles involving designing, coding, and maintaining databases across multiple industries. While both roles require SQL and database skills, Intersystems Cache experts specialize in Cache-specific features and certifications, making them more niche compared to general Database Developers.

What job categories do people searching Remote Intersystems Cache jobs in Arizona look for? The top searched job categories for Remote Intersystems Cache jobs in Arizona are:

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