Note: The job is a remote job and is open to candidates in USA. Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. The Staff Data Engineer is a senior technical leadership role responsible for defining and evolving the data platform strategy and enabling data scientists, analysts, and engineers to operate at scale.
Responsibilities
- Define and own the strategic architecture of Foodsmart's data platform, setting the technical direction for scalable, reliable, and governed data infrastructure
- Lead the design and implementation of next-generation data pipelines, data models, and platform capabilities that support advanced analytics and machine learning at scale
- Establish and champion company-wide standards for data quality, governance, security, and compliance—including automated frameworks for validation, enrichment, and lineage tracking
- Act as a cross-functional technical leader, partnering with engineering, product, data science, and business stakeholders to align data platform capabilities with organizational goals
- Identify systemic bottlenecks and drive platform-wide improvements in performance, reliability, and developer productivity
- Mentor and level up senior and junior engineers alike; influence hiring decisions, technical roadmaps, and data platform strategy at the organizational level
- Serve as an internal authority on data engineering best practices, contributing to broader engineering culture through documentation, design reviews, and knowledge sharing
Skills
- 10+ years of professional experience in data engineering, with a demonstrated track record of driving large-scale, org-wide data platform initiatives
- Proven experience functioning at a staff or principal level—influencing architecture decisions beyond a single team or project
- Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery) and distributed data processing frameworks
- Advanced SQL skills and strong experience with relational, columnar, and NoSQL database systems
- Expert-level proficiency in data pipeline and workflow orchestration tools (e.g., Apache Airflow, Dagster) and experience designing for operational maturity (observability, alerting, recovery)
- Strong programming background in Python, Scala, or Java for data processing, automation, and platform tooling
- Experience in backend development with proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL
- Deep experience designing data models and schemas for both operational and analytical use cases, including dimensional modeling and data mesh or data lakehouse patterns
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains strongly preferred
- Master's degree preferred
Benefits
- Remote-First Company
- Unlimited PTO
- Flexible & remote location
- Healthcare Coverage (Medical, Dental, Vision)
- 401k & bonus
- Registered Dietitian Services
Company Overview
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