Senior Data Engineer - Remote

Overview

The Senior Data Engineer is a critical role responsible for constructing and optimizing 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, automating manual processes, and enhancing scalability.

Requirements

• A minimum of 5 years of experience in a Data Engineering role.
• 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 working with relational databases.
• Familiarity with data pipeline and workflow management tools like Apache Airflow or Luigi.
• Strong analytical skills and the ability to thrive in a fast-paced environment.
• Familiarity with healthcare data standards like FHIR and HL7 is advantageous but not mandatory.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s degree is a plus.

Benefits

• Work in a mission-driven company focused on making nutritious food accessible.
• Collaborative and supportive team environment.
• Opportunity to contribute to impactful health initiatives.
• Flexible work arrangements.
• Access to professional development resources.