Data Engineer

Foodsmart Logo

Foodsmart

๐Ÿ’ต $130k-$155k
๐Ÿ“Remote - United States

Summary

Join Foodsmart, a leading telenutrition and foodcare solution, as a Senior Data Engineer. This critical role involves constructing and optimizing data pipeline architecture, collaborating with data scientists and analysts, and designing, building, and maintaining highly scalable data pipelines. You will own data delivery optimization, develop automated data processes, and identify process improvements. The ideal candidate is proactive, focused on quality, diligent in data security, and collaborative. This remote position offers a competitive salary, equity, and benefits.

Requirements

  • Proactive and act as a driving force for efficient data delivery and infrastructure
  • Focused on quality and approach every data-related project with enthusiasm
  • Diligent in ensuring secure and compliant handling of data in accordance with relevant regulations
  • Collaborative and adept at addressing data-related technical issues and supporting stakeholders' data infrastructure needs
  • An expert in data warehouse architecture, data modeling, and automated data pipelines
  • A minimum of 2 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
  • Bachelorโ€™s degree in Computer Science, Engineering, Mathematics, or related field; Masterโ€™s degree is a plus

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 is advantageous but not mandatory

Benefits

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

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