About this opportunity
Proxy Foods AI lists this Data Engineer opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Full-Time · Hybrid · based in US or Europe
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.
ABOUT PROXY FOODS
Proxy Foods is an advanced AI-powered product development and recipe formulation platform trusted by leading R&D teams to create, reformulate, and optimize food & beverage products at scale and in record time.
We help food and beverage companies move from idea to viable formulation faster by unifying fragmented R&D data: ingredients, specs, cost, nutrition, processing constraints and compliance. As a result, teams launch new products with fewer failed trials, reformulate faster based on consumer feedback and margin pressure, and stay ahead on trends and regulatory requirements.
THE ROLE
We are looking for a motivated, hands-on Data Engineer with 3+ years of experience to join our team.
You will build and maintain the data foundation behind our platform: pipelines, integrations, transformation logic, and data models that power internal analytics and customer-facing product experiences. You will work closely with engineering, product, and food science teams to make complex R&D data reliable, usable, and scalable.
This is a strong fit for someone who enjoys working in a startup environment, takes ownership end-to-end, and is excited to work near AI-enabled products without losing sight of solid data engineering fundamentals.
In this role, you will:
Build and maintain reliable ETL/ELT pipelines across APIs, databases, files, and external data sources
Clean, normalize, and structure complex datasets related to ingredients, specifications, nutrition, costs, and compliance
Design and improve data models and storage layers for application features, analytics, and reporting
Collaborate with product, engineering, and domain experts to translate messy real-world workflows into scalable data systems
Implement data quality checks, validation rules, monitoring, and alerting across critical pipelines
Leverage AI/LLM-assisted workflows where appropriate to improve data cleansing, normalization, enrichment, and structuring of complex datasets, with strong validation and quality controls
Improve performance, maintainability, and observability of our data stack.
WHAT WE’RE LOOKING FOR
3+ years of experience in data engineering, analytics engineering, or backend/data-focused software roles
Strong SQL skills and solid Python experience in production environments
Hands-on experience building and maintaining ETL/ELT pipelines
Experience working with relational databases, data warehouses, and API-based integrations
Strong understanding of data modeling, transformation, and data quality practices
Comfort xzgxqkn working with semi-structured data such as JSON, CSV, and external supplier/customer datasets
Ability to move quickly, prioritize well, and work independently in a startup environment
Clear communicator who enjoys collaborating across technical and non-technical teams
Exposure to AI/LLM applications for data extraction, normalization, enrichment, or retrieval-style workflows is a plus
WHY JOIN PROXY
Work on meaningful product and data problems at the intersection of AI and the food industry
Help build the data backbone of a platform used to accelerate real-world R&D decisions
Join a small, ambitious team where you can have direct ownership and visible impact
Collaborate closely with engineers, product builders, and food scientists
Grow with a company shaping a new category in AI-powered product development
Worksite address
washington, DC, 20011, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.