Juniper Square

Juniper Square

Staff Software Engineer, Data (AI)

Americas (USA or Canada) · Staff+ · Full-time

Sponsorship not specified$210k-$260kDetected 13 days ago
RedshiftVector DatabasesAWSData EngineeringLLMsRAGA/B TestingCommunicationCollaboration

About the role

  • This is a foundational role on a small, high-caliber seed team working at the intersection of modern data engineering and applied AI.

Responsibilities

  • Own End-to-End Delivery of Core Data Platform Components
  • Design and ship the data normalization, schema mapping, validation, enrichment, and distribution pipeline for a net-new intelligent data warehouse
  • Drive Technical Architecture
  • Partner with a small seed team to define the end-to-end architecture for an AI-native data warehouse serving institutional financial clients
  • Bring opinionated decisions on schema design, normalization strategies, API exposure patterns, and data distribution approaches
  • Build AI Evaluation Infrastructure
  • Design and implement the evaluation framework that makes AI-generated outputs trustworthy in high-stakes financial data contexts
  • Build cross-model comparison tooling, deterministic validation checks, and human-in-the-loop review workflows
  • Fertility and growing family support

Requirements

  • 7+ years of software engineering experience, with demonstrated Staff-level technical scope and impact
  • Strong hands-on experience with data pipeline or data warehouse engineering: schema design, ETL/ELT patterns, normalization, and API-based data distribution
  • A portfolio of shipped production systems - we will ask you to walk through specific technical decisions you personally made and code you personally wrote; this is not a role for someone whose primary contribution has been directing others

Nice to have

  • Fluency with AI-assisted and agentic development workflows
  • you use these tools daily and have strong opinions about how to use them effectively
  • Experience with AWS data infrastructure
  • Redshift experience a plus
  • Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases
  • Experience with RAG pipelines, vector stores, or document extraction systems
  • Background in financial services data - familiarity with fund administration, investment data schemas, institutional reporting workflows, or related domains is a meaningful differentiator

Compensation

  • Compensation for this position includes a base salary, equity, and a variety of benefits.
  • The U.S. base salary range for this role is $210,000 - $260,000 USD.
  • Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
  • Annual professional development stipend

Benefits

  • Health, dental, and vision care for you and your family
  • Life insurance
  • Mental wellness coverage
  • Flex Time Off in addition to company-paid holidays
  • Paid family leave, medical leave, and bereavement leave policies
  • Retirement saving plans
  • Annual professional development stipend

Company info

  • We are building a next-generation intelligent data platform for private markets - a greenfield initiative that will reshape how financial data is ingested, normalized, validated, enriched, and distributed across a complex ecosystem.

This listing is sourced directly from Juniper Square's careers page and normalized into a canonical job model.