Responsibilities
- Design, build, and maintain scalable data pipelines using Python, dbt, Airflow, and/or Spark
- Develop curated, version-controlled datasets with well-defined metrics and business logic
- Ensure high data quality through testing frameworks, monitoring, and anomaly detection
- Optimize performance of data models and queries within cloud data platforms (Snowflake preferred)
- Design and develop user-centric, interactive web applications using open-source frameworks such as Plotly Dash, Panel, or FastAPI-based front ends for data exploration, reporting, and workflow automation
- Build modular, reusable components for visualizations, data input/editing, approval workflows, and predictive use cases
- Deliver scalable and maintainable full-stack solutions leveraging Python frameworks (FastAPI, Flask)
- Integrate applications with Snowflake, S3, Smartsheet, and REST APIs to enable end-to-end data workflows
- Support CI/CD pipelines, version control, and containerized deployments (Docker)
- Partner with stakeholders across supply chain, operations, and analytics teams to translate business requirements into technical solutions
- Collaborate with Enterprise Analytics teams to ensure alignment with data governance, security, and compliance standards
- Lead design decisions and promote engineering best practices across data and application development
- Mentor junior engineers and contribute to a culture of continuous improvement
- Document systems, processes, and methodologies for broader organizational use
- Maintain overlapping working hours with PST mornings for collaboration with global teams and stakeholders
Work Arrangement
Hybrid
Additional Information
- Maintain overlapping working hours with PST mornings for collaboration with global teams and stakeholders
