Software Developer & Data Engineer

WISEcode

3d • Remote

About The Position

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.

Requirements

• 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.
• 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 Infrastructure: 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

Nice To Haves

• 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).

Responsibilities

• Own end-to-end implementation and collaborate on data/platform architecture alongside Nicholas.
• Build and establish patterns for a variety of sources including APIs, text from public sources, and external databases.
• 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.
• Consolidate existing food enrichment pipelines down to a single pipeline in collaboration with Kevin's team.
• Build robust connectors to feed collapsed food data to WISE Intel and the consumer app.
• Maintain strict fail-fast config discipline (magic values in config files; early loud failures for missing settings).
• Establish ingest capabilities and quality reporting for Data Assembly readiness.
• Write plain, short, dated decision records prior to code implementation.

Benefits

• Unlimited PTO & Paid Holidays
• 401(k) with a 4% company match, immediately vested
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed