--- title: 'Software Developer & Data Engineer at WISEcode' canonical: 'https://feeny.ai/job/software-developer-data-engineer-wisecode-united-states-1fypgxga8qqz' type: 'job' last_seen: '2026-10-12' --- # Software Developer & Data Engineer at WISEcode - **Company:** WISEcode - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-29 - **Last confirmed live:** 2026-10-12 - **Apply:** https://jobs.lever.co/wisecode/390e192c-a84b-4e75-918d-fa2e2b4cdde1 ## Job 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. ## The Role 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. ## Key Responsibilities - Lakehouse Architecture & Implementation: Own end-to-end implementation and collaborate on data/platform architecture alongside our data team. - Source Ingestion: Build and establish patterns for a variety of sources including APIs, text from public sources, and external databases. - Identity & Entity Resolution: Merge the many records we collect for each product, across retailers and dates, into one trustworthy published record. Decide which source wins on each disagreement, and keep every original record so each published value can be traced to its source. - Pipeline Consolidation & Enrichment: Consolidate existing food enrichment pipelines down to a single pipeline in collaboration with our engineering team. - Downstream Connectors: Build robust connectors to feed collapsed food data to WISE Intel and the consumer app. - Operational Discipline & Configuration: Maintain strict fail-fast config discipline (magic values in config files; early loud failures for missing settings). - Data Quality & Reporting: Establish ingest capabilities and quality reporting for Data Assembly readiness. - Technical Documentation: Write plain, short, dated decision records prior to code implementation. Technical Skills - Languages: Native proficiency in Python and SQL. - Storage & Query Engines: DuckDB, DuckLake, S3 Parquet. - Databases: Postgres, DynamoDB (state management). - Orchestration & Frameworks: Prefect, Kubernetes/Fargate job runners; familiarity with dbt, Dagster, or Airflow. - AWS Infrastructure: S3, ECS, Lambda, EventBridge, SNS, Terraform, IAM. - Reporting & Data Modeling: Lakehouse, analytic/dimension design; Quarto reporting; Medallion architecture (bronze/clean), star schema (food sighting, ingredient, nutrient, provenance). - CI/CD: github actions ## Minimum 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. ## Preferred Qualifications - Experience making architectural trade-offs between lightweight/embedded query engines (e.g., DuckDB) versus distributed systems (Spark, Databricks, Snowflake). - Familiarity with data acquisition methods (e.g., web scraping, OCR API integration). - Note: Food or nutrition domain knowledge, deep Spark/Databricks/Snowflake experience, and people management experience are explicitly NOT required for this role. ## Compensation Competitive base, bonus, and meaningful equity. Details shared in the hiring process. ## 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, for our HSA: - $200/mo contributions for Employee plans - $400/mo contributions for Employee + Dependent plans ## Why WISEcode We are building the layer that food decisions will run on. That is quiet, compounding work: broadening coverage, sharpening precision, and making every output repeatable and defensible. We value transparency, rigor, and respect for the person making the decision, who deserves clear information and the freedom to reach their own conclusion. Come in early enough and you help shape how this system works instead of operating inside one someone else already designed. Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At WISEcode, we value diverse experiences, transferable skills, and the unique strengths each person brings. WISEcode is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. ## About WISEcode ## Company Overview - **One-liner**: WISEcode is a food intelligence platform that scans packaged foods to reveal ultra-processed ingredients and provides AI-powered personalized nutrition insights for consumers, brands, and retailers. - **Entity Type**: Private (Privately Held LLC) - **Headquarters**: Reno, Nevada, United States (with an additional office in Chicago, Illinois) - **Founded**: 2020 - **Founders**: Not publicly disclosed ## Core Business - **Primary industry**: Food Technology / Nutrition Intelligence / AI-powered Food Data - **Target customers**: B2C (consumers via mobile app), B2B (food brands, retailers, researchers), B2G (research institutions like the National Cancer Institute and USDA) - **Mission or purpose statement**: "WISEcode exists to turn the complexity of food into clear answers, because everyone deserves to know what is actually in what they eat." ## Products & Services - **WISEcode UPF Detector App**: A mobile application that scans packaged foods and instantly identifies ultra-processed ingredients, giving consumers clear answers about what's really in their food. Available for both iOS and Android. - **WISEcoach™**: An AI-powered personalized nutrition coach that analyzes thousands of food attributes against individual health goals, providing recommendations for energy, sleep, and overall health improvement. - **WISEcode Non-UPF Verification™**: A science-backed certification program for food brands that proves their products meet the standard for non-ultra-processed food, helping verified brands get discovered by shoppers and retailers seeking cleaner food options. - **WISEcode Intelligence™**: An AI-powered food answer engine drawing from a database of over one million products, providing instant, plain-language answers to questions about any food for consumers, brands, retailers, and researchers. - **NFP+™ Data Platform**: The underlying data infrastructure capturing 1,000 times more attributes per product than a standard nutrition facts panel, with proprietary WISE™ AI analyzing ultra-processing status and nutritional composition. ## Market Standing - **Valuation**: Not disclosed - **Key Metric**: Total Funding — Not publicly disclosed (Private company) - **Headcount**: 39 employees (+35.0% YoY, +14 people) - **Notable Partners/Customers**: National Cancer Institute, USDA, universities in the US and Canada; researchers actively use WISEcode data to study links between food processing and health outcomes - **Growth Signals**: - 35% headcount growth year-over-year - Active job postings up 200% year-over-year - Launched first consumer app in December 2024 (Business Wire announcement) - Data actively used by major research institutions - Growing presence in the ultra-processed food (UPF) detection space, a rapidly expanding market segment ## Competitive Advantages - **Proprietary Data Moat**: NFP+™ data captures 1,000x more attributes per product than standard nutrition labels, creating a defensible data advantage - **AI-First Approach**: Uses machine learning/AI (WISE™ AI) to classify ultra-processed foods at the ingredient level, a capability competitors lack - **Scientific Credibility**: Data used by the National Cancer Institute, USDA, and universities — giving the platform institutional validation - **First-Mover Advantage**: The first app to decode hidden truths in food (launched December 2024), with no direct competitor having solved this problem yet - **Multi-Sided Platform**: Serves consumers, brands, retailers, and researchers simultaneously, creating network effects across the food ecosystem ## Strategic Focus - **Consumer App Growth**: Scaling the UPF Detector app to become the go-to consumer tool for food transparency - **B2B Certification Program**: Expanding the Non-UPF Verified™ program to more food brands seeking certification - **Research Partnerships**: Deepening relationships with academic and government institutions using WISEcode data - **AI Product Expansion**: Continuing to develop WISEcoach™ and WISEcode Intelligence™ as the leading AI-powered food answer engine - **Market Education**: Positioning WISEcode as the definitive standard for ultra-processed food classification ## Why Work Here - **Fully Remote Company**: WISEcode is a fully remote company hiring across the U.S., with every role designed to work outside an office as the standard, not an accommodation. Workforce is distributed across the United States, Italy, and Canada. - **Unlimited PTO**: The company trusts employees to manage their own time with an unlimited PTO policy. - **Equity**: Equity is available for eligible roles, giving employees a stake in the company's success. - **Annual Performance Bonus**: Eligible employees receive annual performance bonuses tied to individual and team impact. - **Health & Wellness**: Comprehensive medical, dental, and vision coverage, plus round-the-clock telemedicine access for employees and their families. - **Financial Wellness**: 401(k) with immediately vested employer match, plus tax-advantaged savings accounts. - **Mission-Driven Work**: The company is building something that "doesn't exist anywhere else" — employees work on a platform solving the significant problem of food transparency. - **Growth Environment**: With 35% headcount growth and a 200% increase in job postings year-over-year, this is a scaling company with career advancement opportunities. - **Cross-Functional Team**: Current team includes talent from companies like Deloitte, Accenture, EasyPost, and SōRSE Technology, with a mix of senior-level and specialist roles. ## Sources 1. [wisecode.ai/careers](https://wisecode.ai/careers) 2. [jobs.lever.co/wisecode](https://jobs.lever.co/wisecode) 3. [linkedin.com/company/wisecode-llc](https://linkedin.com/company/wisecode-llc) 4. [builtin.com/company/wisecode](https://builtin.com/company/wisecode) 5. [wisecode.ai/insights](https://wisecode.ai/insights/) 6. [businesswire.com](https://www.businesswire.com/news/home/20241218000000/en/WISEcode-Launches-First-App-to-Decode-Hidden-Truths-in-Your-Food) ## Other roles at WISEcode - [Vice President – Food Testing Laboratory Operations (WISEcode Labs)](https://feeny.ai/job/vice-president-food-testing-laboratory-operations-wisecode-labs-wisecode-xbhdj6bgz3za) — Kannapolis, NC - [Senior Software Quality Engineer – AI Automation Tester](https://feeny.ai/job/senior-software-quality-engineer-ai-automation-tester-wisecode-united-states-5gkn2vkydbvw) — United States - [Director, Consumer Lifecycle](https://feeny.ai/job/director-consumer-lifecycle-wisecode-united-states-2hs110frfmcp) — United States - [Senior Mobile Developer](https://feeny.ai/job/senior-mobile-developer-wisecode-united-states-h3wz8dwkaar6) — United States - [Don't see the right role? Introduce yourself 🤝](https://feeny.ai/job/don-t-see-the-right-role-introduce-yourself-wisecode-united-states-eve4g6e8zbrq) — United States