Staff Data Engineer

• 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.

• 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.
• Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains strongly preferred.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.

Pay range: $180K - $215K

• Remote-First Company
• Unlimited PTO
• Flexible & remote location
• Healthcare Coverage (Medical, Dental, Vision)
• 401k & bonus
• Registered Dietitian Services