Senior Data Engineer

Summary

Join Foodsmart as a Senior Data Engineer and play a critical role in constructing and optimizing our data pipeline architecture. Collaborate with data scientists and analysts to ensure efficient data flow and contribute to our data-driven initiatives. You will own the optimization of data delivery, design and maintain highly scalable data pipelines, and develop automated data processes. This role requires a minimum of 5 years of experience in data engineering, expertise in data warehouse architecture, and proficiency in SQL and relevant tools. Foodsmart offers a remote-first work environment, unlimited PTO, comprehensive healthcare coverage, 401k, bonuses, stock options, and gym reimbursement.

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
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field

Responsibilities

• 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

Preferred Qualifications

• Familiarity with healthcare data standards like FHIR and HL7
• Master’s degree

Benefits

• Remote-First Company
• Unlimited PTO
• Healthcare Coverage (Medical, Dental, Vision)
• 401k
• Bonus
• Stock options
• Gym reimbursement