Lead Full-Stack developer (Python/React/Data Engineering)

Hiretruss; United States; Remote; USD 110,000 - 140,000; Full time

Job summary

A tech company specializing in data platforms is seeking a Lead Full-Stack Developer for their team. You will modernize their BI platform, collaborate with various teams, and build reliable APIs and services. The ideal candidate should have over 4 years in software engineering, strong skills in Python and React, and an understanding of data systems. Remote candidates must be available during Eastern Time hours.

Qualifications

• 4+ years of professional software engineering experience.
• Strong skills in Python and TypeScript/React.
• Understanding of data systems and ETL/ELT.
• Experience building reliable, maintainable software.
• Strong communication and collaboration skills.

Responsibilities

• Refactor and modernize the existing BI platform for AI integration.
• Collaborate with teams to troubleshoot customer-facing data issues.
• Design and maintain APIs, services, and UIs.
• Support migration and maintenance of Snowflake and DBT models.
• Develop systems to track and visualize data transformation.

Skills

Python

React

TypeScript

Data systems

ETL/ELT

Snowflake

DBT

AI applications

Software engineering best practices

Job description

TRUSS EMPLOYMENT OPPORTUNITy

Lead Full-Stack developer (Python/React/Data Engineering) for Hire

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?

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.

WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR?

4+ years of professional software engineering experience.

Strong skills in Python and TypeScript/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.

ARE THERE ANY OTHER REQUIREMENTS?

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.