[Hiring] Software Developer & Data Engineer @WISEcode

Role Description

Build the food intelligence layer at WISEcode. Most people have no real way to know what's in their food or what it does to them. The information is scattered, inconsistent, and written to sell rather than to inform. WISEcode exists to change that: to give people a source they can actually trust, and the freedom to decide for themselves once they have it.

Getting there takes more than a better app. It takes a system underneath that turns fragmented food data into answers that hold up: consistent, explainable, and the same whether they reach a parent scanning a label, a brand seeking verification, or an institution making decisions at scale. That system is what we are building, and it is the reason the work compounds instead of resetting with every new product.

We are hiring a Software Developer & Engineer to work as a senior individual contributor, serving as the second engineer on The Pantry, our new data lakehouse (DuckLake on S3 Parquet, Postgres catalog, Prefect orchestration, Python throughout). You will work alongside our Data team, combining hands-on implementation with platform and data architecture design in an early-stage environment where the shape of the work is still yours to define.

You bring 3+ years of experience in a similar role, along with real comfort with ambiguity and pace. What you get in return is a problem that matters and the room to shape how it gets solved.

Qualifications

• 3+ years of experience in a similar role
• Proven track record of designing and shipping a lakehouse or data warehouse from scratch, and operating it for at least one year in production
• Demonstrated experience treating data identity and entity resolution as first-class architectural questions
• Experience running batch data pipelines that invoke paid cloud/third-party APIs at scale with strict cost efficiency and budget controls
• Experience pairing daily with other engineers in a fast-paced environment

Requirements

• Native proficiency in Python and SQL
• DuckDB, DuckLake, S3 Parquet
• Postgres, DynamoDB (state management)
• Prefect, Kubernetes/Fargate job runners; familiarity with dbt, Dagster, or Airflow
• AWS: S3, ECS, Lambda, EventBridge, SNS, Terraform, IAM
• Lakehouse, analytic/dimension design; Quarto reporting; Medallion architecture (bronze/clean), star schema (food sighting, ingredient, nutrient, provenance)
• CI/CD: github actions

Benefits

• Location: Fully remote
• Unlimited PTO & Paid Holidays: Unlimited time off and 10 paid holidays
• Financial Wellness: 401(k) with a 4% company match, immediately vested
• Health Benefits: Comprehensive medical, dental, vision, life, and additional ancillary coverage
• 100% coverage for employees, with 80% covered for dependents
• 100% employer paid STD, LTD, Identity Theft, and Life insurance
• FSA and HSA plans available; $200/mo contributions for Employee plans; $400/mo contributions for Employee + Dependent plans