Full Stack Software Engineer responsible for delivering ML - powered applications at AltaML. Collaborate across teams using Claude and agentic coding tools for software development.
About the role
- Data Engineer working at the intersection of food waste and large-scale data processing. Joining Afresh's mission to enhance fresh food accessibility through innovative data pipelines and AI.
Responsibilities
- Build and maintain robust data pipelines that ingest, transform, and validate complex customer data using PySpark, Python, and dbt to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.
- Help improve integrations with new customers, making the process faster and more repeatable through thoughtful tooling.
- Contribute to the adoption of cutting-edge AI tooling (e.g., LLM-assisted data cleaning, semantic validation, and anomaly detection).
- Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.
- Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations.
- Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need.
- Learn and grow by pairing with other engineers, participating in design reviews, and taking on bigger and bigger projects.
Requirements
- 2+ years of experience building ETLs or data workflows with Python, PySpark, SQL, or similar tools.
- Comfortable working with messy, incomplete, or inconsistent datasets—and turning them into something structured and usable.
- Experience in identifying areas where tooling or automation can simplify workflows and reduce manual effort.
- Experience or strong interest in platforms like Databricks, Snowflake, and dbt.
- Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.
- Attention to detail and pride in delivering robust, maintainable solutions.
- Collaborative and communicative — you work well across teams and aren't afraid to ask questions.
- Learning mindset — hungry to grow your skills and move fast.
Benefits
- Softwares like LLM-assisted data cleaning and anomaly detection
- Working with collaborative and communicative teams
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