Data Engineer - Remote

Overview

The Data Engineer 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.

In Short

• Own the optimization of data delivery for various cross-functional teams.
• Design, construct, install, test, and maintain highly scalable data pipelines.
• Collaborate closely with data architects, data scientists, and analysts to fulfill data requirements.
• Develop automated data processes for cleaning, validation, correction, and data mining.
• Identify, implement, and enhance internal process improvements.
• Act as a driving force for efficient data delivery and infrastructure.
• Ensure secure and compliant handling of data.
• Address data-related technical issues and support stakeholders' data infrastructure needs.
• Expert in data warehouse architecture and automated data pipelines.
• Minimum of 2 years of experience in a Data Engineering role.

Requirements

• Hands-on experience with data warehouse solutions such as Snowflake or Redshift.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Advanced SQL knowledge and proficiency in relational databases.
• Familiarity with data pipeline management tools like Apache Airflow or Luigi.
• Strong analytical skills and ability to thrive in a fast-paced environment.
• Familiarity with healthcare data standards like FHIR and HL7 is advantageous.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s degree is a plus.

Benefits

• Be part of a mission-driven team focused on making nutritious food accessible.
• Opportunity to work with a robust network of Registered Dietitians.
• Engagement in a collaborative and supportive work environment.
• Chance to contribute to impactful initiatives in health and nutrition.
• Access to continuous learning and professional development opportunities.