Data Migration Consultant managing CRM data imports, validation, and onboarding for Neon One, a nonprofit software company. Coordinating clients, engineers, and cross - functional teams.
About the role
- Senior Software Engineer building Dex, Juniper Square’s AI-native data warehouse for private-market finance. Developing production data extraction, RAG, and LLM-powered systems.
Responsibilities
- Design, build, and ship production-quality systems, APIs, and services
- Own projects end-to-end, from technical design and implementation through testing, deployment, and iteration
- Build reliable, scalable, and observable systems that deliver customer value
- Own production health, including monitoring, troubleshooting, performance, reliability, and issue resolution
- Build intuitive, performant customer experiences
- Improve engineering velocity and operational quality through automation, documentation, and continuous improvements
- Contribute to technical design for complex projects and evaluate tradeoffs
- Partner with product, design, QA, and engineering to translate requirements into technical solutions
- Identify and reduce technical debt, reliability risks, and software-development friction
- Establish reusable patterns and raise engineering standards with Staff and senior engineers
- Participate in code reviews, design reviews, debugging, incident response, and operational support
- Use agentic coding tools and AI-assisted development as a primary workflow
- Critically evaluate AI-generated code for correctness, edge cases, and regressions
- Build or integrate AI/LLM-powered capabilities, including evaluation frameworks, RAG pipelines, and agentic workflows, with human-in-the-loop boundaries
- Contribute to AI-accelerated development, testing, and code-review practices
- Communicate technical context to technical and non-technical stakeholders
- Grow into a subject-matter expert in Dex, Juniper Square's AI-native data warehouse
- Work on Dex data extraction across an Ingest → Parse → Classify → Extract pipeline, including initial MVP agents, structured data extraction, RAG, vectorized storage, and a documentation repository
Requirements
- 7+ years of experience in backend and/or full-stack software engineering
- Strong backend engineering experience with Python and frameworks such as FastAPI, Flask, Pyramid, or Django
- Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling
- Experience with cloud-native technologies such as AWS, Docker, Kubernetes, and infrastructure as code
- Strong understanding of CI/CD, observability, and operating services in production
- Comfort working full-stack when the problem calls for it; TypeScript/React experience is a plus
- Ability to break down complex technical problems and deliver pragmatic, maintainable solutions
- Strong ownership mindset and ability to drive projects independently while collaborating effectively across teams
- Clear communication skills and ability to explain technical tradeoffs to engineering and cross-functional partners
- Hands-on experience with AI-native development tools such as Cursor or Augment
- Demonstrated AI fluency, including judgment about when AI is and is not the right tool, adapted code review practices for AI-generated code, and safeguards against over-reliance on AI tooling
- Bachelor's degree in Computer Science or equivalent work experience
- Hands-on experience building or integrating AI/LLM-powered systems in production, such as RAG pipelines, agent frameworks, evaluation workflows, guardrails, prompt/tool orchestration, or model observability
- Comfort operating in ambiguous, fast-evolving technical territory
- Nice to have: strong data warehousing or data engineering expertise with Redshift, Snowflake, BigQuery, or Databricks
- Nice to have: experience shipping AI-forward data pipeline or warehousing solutions
- Nice to have: comfort navigating ambiguity in an early-stage, less spec-heavy environment
Benefits
- Health, dental, and vision care for you and your family
- Life insurance
- Mental wellness coverage
- Fertility and growing family support
- Flex Time Off in addition to company-paid holidays
- Paid family leave, medical leave, and bereavement leave policies
- Retirement saving plans
- Allowance to customize your work and technology setup at home
- Annual professional development stipend
- Equity
- Digital-first operations and flexible ways to work, ranging from fully remote to working in a physical office
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