Senior Data Engineer
BiorenderSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, SaaS, E-commerce, GroceryIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote?
Yes, this is a remote position.
What is the salary for the Staff Data Engineer role?
This information is not specified in the job description.
What technical skills are required for this role?
The role requires proficiency with Python, PySpark, SQL, and experience with platforms/tools like Databricks, Snowflake, or DBT, along with significant experience designing and maintaining ETLs for large-scale datasets.
What is the company culture like at Afresh?
Afresh offers a collaborative, supportive team where ideas are valued and acted on, with a focus on mission-driven work reducing food waste and tackling challenging real-world problems.
What makes a strong candidate for this Staff Data Engineer position?
Strong candidates have proven leadership in technical projects, excellent communication skills, strong problem-solving abilities with ambiguous requirements, and a focus on practical outcomes while mentoring others.
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
Benefits
Comprehensive health plans
Competitive compensation
Generous parental leave
Equity packages
401(k) matching
Flexible vacation policy
Monthly grocery stipend
Professional development program
Risks
Tech giants entering AI supply chain space threaten Afresh's market share.
AI advancements may render Afresh's platform obsolete if not updated.
Data privacy regulations could hinder Afresh's data collection and usage.
Differentiation
Afresh uses AI to optimize fresh produce inventory management for retailers.
The platform minimizes waste and maximizes freshness through advanced machine learning.
Afresh offers a subscription model, providing continuous access to its AI-driven solutions.
Upsides
Growing demand for AI in supply chain boosts Afresh's market potential.
Retailers seek sustainable solutions, aligning with Afresh's waste-reduction mission.
Omnichannel retailing increases need for sophisticated inventory systems like Afresh's.
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