Junior Quantitative Engineer — Backend & Data Pipelines

HarbourVest Partners; Boston (MA); Hybrid; USD 130,000 - 140,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

HarbourVest Partners is seeking an Analyst, Junior Quantitative Developer to design, build, and maintain core backend services and APIs powering our product features. The role sits at the intersection of engineering and product, focusing on reliable foundations across data pipelines and platform components.

The ideal candidate has 2–4 years of backend/ platform experience, strong Python and SQL skills, and familiarity with cloud platforms (Azure), containers, and CI/CD pipelines.

Qualifications

• 2–4 years of development experience with backend services, platform engineering, or data pipelines.
• Experience with Python and SQL for building services and working with data.

Responsibilities

• Design, build, and maintain core backend services and APIs that power product features
• Develop shared platform components used across frontend and backend applications
• Build and improve data pipelines and integrations across the platform
• Contribute to developer tooling, CI/CD, and automated testing that keeps services reliable
• Partner with product and design to turn requirements into clear technical designs
• Support gradual rollouts and feature flags to ship changes safely
• Instrument services with logging, metrics, and telemetry for reliability
• Document platform capabilities and APIs so teams can build with confidence

Skills

Python

SQL

Cloud platforms (Azure)

CI/CD pipelines

API design

Git workflows

System design

Communication

Education

Bachelor of Science (B.S.) or equivalent experience

Tools

Docker

Kubernetes

REST APIs

CI/CD tooling

React/TypeScript

Job description

HarbourVest Partners is seeking an Analyst, Junior Quantitative Developer to design, build, and maintain core backend services and APIs powering our product features. The role sits at the intersection of engineering and product, focusing on reliable foundations across data pipelines and platform components.

The ideal candidate has 2–4 years of backend/ platform experience, strong Python and SQL skills, and familiarity with cloud platforms (Azure), containers, and CI/CD pipelines.