Description:

Foodsmart is a leading telenutrition and foodcare solution that aims to foster healthier food choices and deliver long-term health outcomes.
The Data Engineer role is critical for constructing and optimizing data pipeline architecture and collaborating with data scientists and analysts.
Responsibilities include owning the optimization of data delivery, designing and maintaining scalable data pipelines, and developing automated data processes.
The Data Engineer will work closely with cross-functional teams to ensure efficient data flow and contribute to data-driven initiatives.

Requirements:

A minimum of 3 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.
Gym reimbursement is available to support employee wellness.