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Senior Full Stack Developer with Data Engineering Expertise
2 weeks ago
Job Summary:
As a seasoned software development engineer, you will play a crucial role in shaping the architecture of our cutting-edge software and data infrastructure for an AI-driven logistics platform.
About the Role:
This is a true full stack position where you will work across frontend, backend, and data layers using Python, Streamlit, Snowflake, and modern DevOps practices.
Your Responsibilities:
- 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.
- Collaborate with data scientists / ML engineers to deploy models, support experimentation, and enable rapid iteration on analytics use cases.
- Define and evolve our data strategy and architecture, including schemas, governance, versioning, and access patterns across business units and use cases.
- Implement DevOps best practices, including testing, CI/CD automation, and observability, to improve reliability and reduce technical debt.
- Ensure data integrity and privacy through validation, error handling, and secure design.
- Contribute to product planning and roadmaps by working with cross-functional teams to estimate scope, propose solutions, and deliver value iteratively.
Requirements:
- 5+ years of professional software development experience, with a proven track record of building enterprise-grade, production-ready software applications for businesses or consumers, working in an integrated development team using Agile and Git / GitHub.
- Required technology experience with the following technologies in a business context: Python as primary programming language, Pandas, Numpy, SQL, AWS and/or GCP cloud configuration / deployment, Git / GitHub, Snowflake, and/or Redshift or Big Query, Docker, Airflow, Prefect or other DAG orchestration technology, Front end engineering, e.g., HTML/CSS, JavaScript, and component-based frameworks.
- Hands-on experience with modern front-end technologies — HTML/CSS, JavaScript, and component-based frameworks, e.g., Streamlit, React, or similar.
- Experience designing and managing scalable data pipelines, data processing jobs, and ETL/ELT.
- Experience in defining Data Architecture and Date Engineering Architecture, including robust pipelines, and building and using cloud services (AWS and/or GCP).
- Experience building and maintaining well-structured APIs and microservices in a cloud environment.
- Working knowledge of, and experience applying, data validation, privacy, and governance.
- Comfort working in a fast-paced, startup environment with evolving priorities and an Agile mindset.
- Strong communication and collaboration skills — able to explain technical tradeoffs to both technical and non-technical stakeholders.
Desirable Experience:
- Snowflake, Streamlit, Folium, Plotly, AG Grid, Kubernetes, Javascript, CSS, Flask, Fast API and SQLAlchemy.
- Exposure to machine learning workflows and collaboration with data scientists or MLOps teams.
- Experience building or scaling analytics tools, business intelligence systems, or SaaS data products.
- Familiarity with geospatial data and visualization libraries, e.g., Folium, Plotly, AG Grid.
- Knowledge of CI/CD tools, e.g., GitHub Actions, Docker, Terraform, and modern DevOps practices.
- Contributions to early-stage product development — especially at high-growth startups.
- Passion for transportation and logistics, and for applying technology to operational systems.
Why Join Us:
At this company, we're not just building software — we're rewriting the rules for one of the largest and most essential industries in the world. If you're excited by real-world impact, data-driven decision making, and being part of a company where you'll see your work shape the product and the business, this is your kind of team.
Some of the factors that make this a great opportunity include:
- Massive market opportunity: This industry is a $4T+ global industry / strong customer interest in solution
- Real business impact: Our tech has already shown a 5% operating margin gain at pilot customers.
- Builder's culture: You'll help define architecture, shape best practices, and influence our direction.
- Tight feedback loop: We work directly with real customers and iterate fast.
- Tech stack you'll love: Python, Streamlit, Snowflake, Pandas, AWS — clean, modern, focused.
- Mission-driven team: We're obsessed with bringing 'Moneyball for Trucks' to life — combining science, strategy, and empathy to make the complex simple, and the invisible visible.