Full-Stack Software Engineer (Data + AI Systems) for Hire
Locations
ABOUT THE EMPLOYER
This role is for an AI-powered data platform that helps finance and operations teams unify, govern, and analyze metrics—without needing to write SQL or rely heavily on engineering.
WHAT WILL YOU WORK ON?
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Refactor and modernize our existing BI platform to support AI integration and SOC 2 compliance.
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Collaborate with data, AI, and customer success teams to troubleshoot and resolve customer-facing data and reporting issues.
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Design, build, and maintain APIs, services, and UIs that support new agentic workflows and data cleaning capabilities.
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Support migration and maintenance of Snowflake, DBT, and related data models.
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Develop systems to track, audit, and visualize data transformation history and agent actions.
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Apply modern software engineering best practices, including testing, CI/CD pipelines, code reviews, and version control.
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Work closely with leadership to shape the architecture of AI-assisted data tools and workflows.
WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR?
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4+ years of professional software engineering experience.
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Strong skills in Python and TypeScript/React.
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Understanding of data systems, ETL/ELT, and tools like Snowflake or DBT.
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Familiarity with AI or LLM-based applications is a strong plus.
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Experience building reliable, maintainable software using modern development principles (CI/CD, testing, structured workflows).
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Ability to navigate ambiguity and help define technical direction in evolving product areas.
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Strong communication and collaboration skills across distributed teams.
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Must be available to work during Eastern Time Zone business hours.
ARE THERE ANY OTHER REQUIREMENTS?
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Prior work in analytics, data products, or AI/automation tools.
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Experience building semantic layers or metadata-driven systems.
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Familiarity with SOC 2 or enterprise compliance frameworks.
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Background in both product and infrastructure engineering.
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