Senior Data Engineer

Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. The Senior Data Engineer is responsible for constructing and optimizing data pipeline architecture, ensuring efficient data flow and contributing to the success of data-driven initiatives.

Responsibilities:

• Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders
• Architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning
• Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives
• Establish best practices for data quality, governance, security, and compliance; implement automated frameworks for cleaning, validation, correction, and enrichment
• Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards
• Mentor junior engineers, provide technical guidance, and influence broader data platform strategy

Requirements:

• 6+ years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects
• Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery)
• Advanced SQL skills and strong experience with relational and columnar database systems
• Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi)
• Solid programming background (Python, Scala, or Java) for data processing and automation
• Experience in backend development, with strong proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL
• Experience designing data models and schemas for both operational and analytical use cases
• Strong analytical and problem-solving skills, thriving in fast-paced, high-growth environments
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains is a plus
• Master's degree preferred