Chief Technology Strategist for Data-Driven Solutions
20 hours ago
We are seeking a highly skilled software development engineer to help us build cutting-edge software and data infrastructure for our AI-driven Trucking Science-as-a-Service platform.
This is a hands-on role focused on building solutions by combining Python-based full stack development with scalable, modern data engineering.
You will be responsible for designing and building the software systems, user interfaces, and data infrastructure that power our analytics, data science, and decision support platform.
This is a true full stack role — you'll work across frontend, backend, and data layers using Python, Streamlit, Snowflake, and modern DevOps practices.
- Design and build full stack applications using Python, Streamlit, and modern web frameworks to power internal tools, analytics dashboards, and customer-facing products.
- Develop scalable data pipelines to ingest, clean, transform, and serve data from diverse sources into Snowflake and other cloud-native databases.
- Implement low-latency, high-availability backend services to support data science, decision intelligence, and interactive visualizations.
- Integrate front-end components with backend systems and ensure seamless interaction between UI, APIs, and data layers.
As a senior member of our team, you will report directly to the CEO and collaborate closely with cross-functional teams to deliver business-critical projects.
The ideal candidate will have 5+ years of professional software development experience, with a proven track record of building enterprise-grade, production-ready software applications for businesses or consumers.
Required technology experience includes Python as primary programming language, Pandas, Numpy, SQL, AWS and/or GCP cloud configuration/deployment, Git/GitHub, Snowflake, Redshift or Big Query, Docker, Airflow, Prefect or other DAG orchestration technology, and front-end engineering (HTML/CSS, JavaScript, component-based frameworks).
Desirable experience includes Snowflake, Streamlit, Folium, Plotly, AG Grid, Kubernetes, Javascript, CSS, Flask, Fast API, SQLAlchemy, machine learning workflows, collaboration with data scientists/MLOps teams, building or scaling analytics tools, business intelligence systems, or SaaS data products, geospatial data and visualization libraries, CI/CD tools, and modern DevOps practices.
We value intelligence, curiosity, humility, clean code, measurable impact, clear thinking, hard work, and a focus on delivering results.
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