Staff Data Engineer

California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, SaaS, E-commerce, GroceryIndustries

Requirements

Candidates should possess significant experience designing and maintaining ETLs that process large-scale datasets, proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT, strong problem-solving skills, and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.

Responsibilities

The Staff Data Engineer will build tools and frameworks to streamline customer integrations, create robust ETLs in PySpark and DBT to process billions of records from customer datasets, 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, solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal needed, investigate and implement new technologies into the data platform, and support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback.

Skills

ETL

PySpark

DBT

Python

SQL

Databricks

Snowflake

Data Integration

Data Processing

Scalability

Data Quality

Problem-Solving

Mentoring

Afresh

AI solutions for fresh food inventory management

About Afresh

Afresh Technologies provides solutions for grocery retailers to improve their inventory management in the fresh food supply chain. Their platform uses machine learning algorithms to help retailers reduce food waste and increase profitability by optimizing how they manage their stock. Retailers subscribe to Afresh's service, gaining access to its features and potentially additional services like data analytics and consulting. What sets Afresh apart from competitors is its specific focus on the fresh food sector and its commitment to helping retailers meet consumer demand while minimizing waste. The company's goal is to enhance the efficiency of fresh food management in retail.

33 New Montgomery St, San Francisco, CA 94105, USAHeadquarters

2017Year Founded

$147.8MTotal Funding

SERIES_BCompany Stage

Food & Agriculture, Enterprise Software, AI & Machine LearningIndustries

51-200Employees