Contract data and cloud engineering consultancy for regulated industries
JSR Tech Consulting places contract data and engineering talent with financial services, pharma and healthcare clients. Its job posts describe an AWS-native data stack (Glue, Spark, EMR, Redshift, Kinesis, Kafka) alongside client work moving market data ingestion to Microsoft Fabric. Hiring is accelerating, skews heavily senior and data-focused, and is anchored by a Data Analytics Director search, which points to legacy-to-cloud migration as the core delivery motion.
Notable leadership hires: Data Analytics Director
JSR Tech Consulting is a privately held consultancy founded in 2015 and headquartered in Cranford, New Jersey. It supplies contract consultants to business and technology leaders in financial services, pharmaceuticals and healthcare. Its service areas include cloud enablement, IT governance, data modeling, data science, AI and machine learning, project management, medical affairs and market access. The firm employs 51–200 people, hires within the United States, and is a certified Women-Owned Business Enterprise.
Its job posts center on AWS: Glue, Athena, Redshift, EMR, Lambda, Step Functions and Kinesis, plus Spark, Kafka, Python, Scala and Terraform. Application work uses React, Node.js, NestJS and GraphQL.
Yes. Data and engineering roles dominate its hiring, which is accelerating and mostly senior-level. Openings are in the United States, including a Data Analytics Director role.
Current work includes migrating legacy data to an AWS data lake and moving market data feed ingestion to Microsoft Fabric. It is also embedding data quality controls into AI lifecycle gates.
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JSR Tech Consulting's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.