Foodsmart

Foodsmart

Foodsmart offers a personalized telehealth nutrition solution that connects members with a vast network of registered dietitians, providing tailored nutrition guidance to improve health from the comfort of home.

Health Care Providers & Services
51-250
Founded 2010
$105M raised

Description

  • Define and own the strategic architecture of Foodsmart’s data platform for scalable, reliable, and governed infrastructure.
  • Lead the design and implementation of data pipelines, data models, and platform capabilities that support analytics and machine learning at scale.
  • Establish company-wide standards for data quality, governance, security, compliance, validation, enrichment, and lineage tracking.
  • Partner with engineering, product, data science, and business stakeholders to align platform capabilities with organizational goals.
  • Identify bottlenecks and drive improvements in performance, reliability, observability, and developer productivity.
  • Mentor and support senior and junior engineers, while influencing hiring decisions, technical roadmaps, and platform strategy.
  • Serve as an internal authority on data engineering best practices through documentation, design reviews, and knowledge sharing.

Requirements

  • 10+ years of professional experience in data engineering, with a track record of leading large-scale data platform initiatives.
  • Experience operating at a staff or principal level and influencing architecture decisions beyond a single team or project.
  • Deep expertise in modern cloud data warehouses such as Snowflake, Redshift, or BigQuery.
  • Experience with distributed data processing frameworks.
  • Advanced SQL skills and experience with relational, columnar, and NoSQL database systems.
  • Expert-level proficiency with data pipeline and workflow orchestration tools such as Apache Airflow or Dagster.
  • Experience designing for operational maturity, including observability, alerting, and recovery.
  • Strong programming background in Python, Scala, or Java for data processing, automation, and platform tooling.
  • Experience in backend development with TypeScript, Java, Python, Node.js, and SQL-based RDBMS such as PostgreSQL or MySQL.
  • Experience designing data models and schemas for operational and analytical use cases, including dimensional modeling and data mesh or data lakehouse patterns.
  • Familiarity with healthcare data standards such as FHIR and HL7, or other regulated data domains, strongly preferred.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; Master’s degree preferred.

Benefits

  • Remote-first company environment.
  • Unlimited PTO.
  • Flexible remote location options.
  • Healthcare coverage including medical, dental, and vision.
  • 401(k) and bonus.
  • Registered Dietitian Services.

Interested in this position?

Apply directly on the company website

Apply Now

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