Description:

Foodsmart is a leading telenutrition and foodcare solution that aims to foster healthier food choices and deliver long-term health outcomes.
The company serves 2.2 million members through a personalized digital platform that integrates dietary assessments, nutrition counseling, online food ordering, and meal planning.
Foodsmart partners with retailers across the U.S. to make healthier food more accessible, including assistance with SNAP enrollment and management.
The Senior Data Engineer will be responsible for constructing and optimizing data pipeline architecture and collaborating with data scientists and analysts.
Key responsibilities include owning data delivery optimization, designing and maintaining scalable data pipelines, developing automated data processes, and enhancing internal process improvements.

Requirements:

A minimum of 5 years of experience in a Data Engineering role is required.
Hands-on experience with data warehouse solutions such as Snowflake or Redshift is necessary.
Experience with cloud platforms like AWS, GCP, or Azure is essential.
Advanced SQL knowledge and proficiency in working with relational databases are required.
Familiarity with data pipeline and workflow management tools like Apache Airflow or Luigi is expected.
Strong analytical skills and the ability to thrive in a fast-paced environment are important.
Familiarity with healthcare data standards like FHIR and HL7 is advantageous but not mandatory.
A Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is required; a Master’s degree is a plus.

Foodsmart is a remote-first company, allowing employees to work from anywhere in the U.S.
Employees enjoy unlimited PTO, promoting a healthy work-life balance.
Comprehensive healthcare coverage is provided, including medical, dental, and vision insurance.
The company offers a 401k plan, bonuses, and stock options as part of the compensation package.
A gym reimbursement program is available to support employee wellness.