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Part Time Intersystems Cache Developer Jobs (NOW HIRING)

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$22K

$98.5K

$153K

How much do part time intersystems cache developer jobs pay per year?

As of May 30, 2026, the average yearly pay for part time intersystems cache developer in the United States is $98,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $119,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Intersystems Cache Developer vs Part Time SQL Developer?

AspectPart Time Intersystems Cache DeveloperPart Time SQL Developer
Required CredentialsIntersystems Cache certification, programming skillsSQL certification, database management skills
Work EnvironmentHealthcare, finance, or enterprise sectors using CacheData analysis, database management across industries
Employer & Industry UsageOrganizations using Intersystems Cache for data integrationCompanies needing database solutions and data querying

Both roles involve database development, but the Cache Developer specializes in Intersystems Cache, while the SQL Developer focuses on SQL-based databases. The Cache Developer often works in healthcare or enterprise environments with specific Cache systems, whereas SQL Developers have broader industry applications. Understanding these differences helps in choosing the right part-time role based on your skills and industry focus.

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What job categories do people searching Part Time Intersystems Cache Developer jobs look for? The top searched job categories for Part Time Intersystems Cache Developer jobs are:
Part Time Intersystems Cache Developer jobs near you
Infographic showing various Part Time Intersystems Cache Developer job openings in the United States as of May 2026, with employment types broken down into 58% Full Time, 40% Part Time, and 2% Contract. Highlights an 53% Physical, 28% Hybrid, and 19% Remote job distribution, with an average salary of $98,514 per year, or $47.4 per hour.

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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