Senior Engineer, Data Engineering

Foodsmart is the leading telenutrition and foodcare solution, backed by a robust network of Registered Dietitians. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver long-term health outcomes. Through our highly personalized, digital platform, we guide our 2.2 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.

Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. This investment will help us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases.

At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. Measured: We make data-driven, truth-seeking decisions.
#Collaborative: We help each other be better and create a positive environment.
#Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.

| The Senior Data Engineering is a critical role responsible for constructing and optimizing our data pipeline architecture, collaborating closely with data scientists and analysts to facilitate data-related functionalities. The Senior Data Engineer will be pivotal in designing, building, and maintaining highly scalable data pipelines, optimizing data delivery, and automating data processes. They will work closely with cross-functional teams to ensure efficient data flow and contribute to the success of our data-driven initiatives.

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; 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.

A proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence.
Quality-oriented, with a strong sense of ownership over data reliability and accessibility.
Experienced in applying secure, compliant data handling practices in regulated environments.
Collaborative and skilled at bridging business needs with technical solutions, supporting stakeholders at all levels.
An expert in data warehouse architecture, dimensional modeling, and automated data engineering at scale.

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., 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.
~ Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains is a plus.
~ Experience in backend development, with strong proficiency in TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL
~ Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (Master’s degree preferred).

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