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Senior Software Engineer, Data – AI
Location
California + 1 moreAll locations: California | New York
Posted
17 days ago
Salary
$185K - $225K / year
Seniority
Senior
Job Description
Senior Software Engineer, Data – AI
Juniper Square
• Build and ship production-quality implementations of data normalization, schema mapping, validation, enrichment, and distribution pipelines for a net-new intelligent data warehouse • Write clean, well-tested, performant code across backend services, data pipeline logic, and API integrations • Take end-to-end ownership of features from design through deployment, with accountability for correctness and reliability in production • Work closely with Staff engineers to shape the architecture of a modern, AI-native data warehouse serving institutional financial clients • Bring thoughtful input on schema design, normalization approaches, and API patterns - and execute those decisions with precision • Identify and raise technical risks early; propose and implement solutions rather than waiting to be directed • Use agentic coding tools and LLM-assisted development as your primary workflow - this is how the entire team operates • Critically evaluate AI-generated code for correctness, edge cases, and regressions - shipping quality output regardless of how it was produced • Build and maintain data validation checks, monitoring, and observability tooling that keeps pipelines trustworthy at scale • Participate in on-call and production support, diagnosing and resolving data quality issues quickly and thoroughly • Write and maintain clear technical documentation for the systems you build
Job Requirements
- 4–7 years of software engineering experience, with a track record of shipping production systems end-to-end
- Strong backend engineering fundamentals - backend services, data pipelines, and API design; we will ask you to walk through systems you personally built
- Hands-on experience with data pipeline or data warehouse engineering: ETL/ELT patterns, schema design, normalization, and data distribution
- Production experience building with LLMs - prompt design, model integration, and output validation in real systems
- Fluency with AI-assisted and agentic development workflows; you use these tools daily and evaluate their output critically
- Experience with AWS data infrastructure; Redshift experience a plus
- Strong written communication - able to document technical decisions clearly for engineering and product audiences
- Ability to critically evaluate AI-generated code and outputs, including identifying failure modes and regressions.
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
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