Remote Data Engineer

Description:

• Afresh is on a mission to eliminate food waste and make fresh food accessible to all.
• The company has developed an A.I.-powered solution that optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers.
• Their Fresh Operating System has facilitated $1.6 billion in produce orders across the US and helped prevent 34 million pounds of food waste.
• The Data Engineer role involves working at the intersection of food waste, large-scale data processing, and applied AI.
• The engineer will help shape customer data flow through the platform, improving data ingestion, transformation, and operationalization to reduce food waste for grocery chains.
• Responsibilities include building and maintaining robust data pipelines, improving customer integrations, contributing to AI tooling adoption, collaborating with various teams, optimizing ETL runtime, solving data quality challenges, and learning through collaboration.

Requirements:

• Candidates must have 2+ years of experience building ETLs or data workflows using Python, PySpark, SQL, or similar tools.
• Applicants should be comfortable working with messy, incomplete, or inconsistent datasets and transforming them into structured, usable formats.
• Experience in identifying areas for tooling or automation to simplify workflows and reduce manual effort is required.
• Familiarity or strong interest in platforms like Databricks, Snowflake, and dbt is necessary.
• Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver impactful solutions are essential.
• Attention to detail and a commitment to delivering robust, maintainable solutions are important.
• Candidates should be collaborative and communicative, able to work well across teams and ask questions when needed.
• A learning mindset and eagerness to grow skills and move quickly are expected.

Benefits:

• Afresh offers equal employment opportunities to all employees and applicants without discrimination.
• Many employees work remotely, provided they reside in specific states, with some roles requiring proximity to the San Francisco office.
• The company promotes a vibrant, diverse, and inclusive team culture that embodies values of proactivity, kindness, candor, and humility.