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Jmd Technology Jobs (NOW HIRING)

Mobile Forensic IT Analyst

Arlington, VA · On-site

$133K/yr

... JMD), Office of Justice Programs (OJP), Federal Prison Industries (FPI) and National Oceanic and ... Strong understanding of federal IT security standards, compliance frameworks, and forensic ...

Performance/Data Analyst III

Washington, DC · On-site

$100K - $120K/yr

Washington, DC / DOJ Facilities / JMD OCIO / NCC Clearance / Background: U.S. Citizen required ... Tools / Technologies Python, R, SQL, Tableau, Excel, DOJ MIS, ETL pipelines, predictive models ...

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology ... Process Requests For Forces (RFF) from USCENTCOM J3 and Joint Manning Documents (JMD) from ...

Project Manager (AI)

Waltham, MA · Hybrid

$75 - $80/hr

The ideal candidate will possess strong project management expertise, experience leading complex technology programs, and the ability to bridge technical, scientific, and business stakeholders. Key ...

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How much do jmd technology jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for jmd technology in the United States is $27.38, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $31.25 per hour, depending on experience, location, and employer.

Senior Data Engineer - Global Credit Hedge Fund (Boston) - JMD Reg Consultancy LTD

JMD Reg Consultancy LTD

Boston, MA

$133K - $175K/yr

Full-time

Posted 15 days ago


Job description

Our client, a leading global alternatives firm, has engaged JMD Consultancy to hire hands-on engineers into their core Data Platform team. The team is rebuilding the firm's enterprise data and AI platform from the ground up.

This is a software engineer who builds the data platform, Python + Java, Terraform, Kubernetes, full CI/CD ownership. This is NOT a data engineer who builds pipelines on top of it.

Key Responsibilities

  1. Build and ship production data platform services end-to-end (Python + Java)
  2. Own platform infrastructure: Terraform, Kubernetes (AKS/EKS), full CI/CD lifecycle
  3. Architect backend services and APIs that data engineers and ML teams consume
  4. Own platform reliability, cost, and performance, latency, throughput, infra spend
  5. Contribute to ML / GenAI infrastructure: model deployment frameworks, inference pipelines, context-delivery services

Requirements

  1. Strong production Pythonand Java
  2. Hands-on Terraform, Docker, Kubernetes, modern CI/CD
  3. Microservices / API framework experience at meaningful scale (Flask, gRPC, Pub/Sub or similar)
  4. Track record of building services other engineers consume, platform-shaped work, not pipeline-shaped work
  5. 7 years of experience as a Data Engineer, preferably within financial services, fintech, or hedge funds.
  6. Hands-on experience with data modeling, warehousing, and cloud technologies (Azure, AWS, Snowflake, or similar).