Lead Full-Stack developer; Python​/React​/Data Engineering

TRUSS EMPLOYMENT OPPORTUNITy

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.

Refactor and modernize our existing BI platform to support AI integration and SOC 2 compliance.

Collaborate with data, AI, and customer success teams to troubleshoot and resolve customer-facing data and reporting issues.

Design, build, and maintain APIs, services, and UIs that support new agentic workflows and data cleaning capabilities.

Support migration and maintenance of Snowflake, DBT, and related data models.

Develop systems to track, audit, and visualize data transformation history and agent actions.

Apply modern software engineering best practices, including testing, CI/CD pipelines, code reviews, and version control.

Work closely with leadership to shape the architecture of AI-assisted data tools and workflows.

4+ years of professional software engineering experience.

Strong skills in Python and Type Script/React.

Understanding of data systems, ETL/ELT, and tools like Snowflake or DBT.

Familiarity with AI or LLM-based applications is a strong plus.

Experience building reliable, maintainable software using modern development principles (CI/CD, testing, structured workflows).

Ability to navigate ambiguity and help define technical direction in evolving product areas.

Strong communication and collaboration skills across distributed teams.

Must be available to work during Eastern Time Zone business hours.

Prior work in analytics, data products, or AI/automation tools.

Experience building semantic layers or metadata-driven systems.

Familiarity with SOC 2 or enterprise compliance frameworks.

Background in both product and infrastructure engineering.