Senior Data Engineer
AI summary of the role
Senior Data Engineer at Fuze Health (parent of LetsGetChecked, Truepill, Alto Pharmacy) building and maintaining the data platform that serves operational teams and business stakeholders.
What you’ll do
- Deploy new data pipelines
- Design and build data observability platforms and metrics
- Build metadata driven pipeline solutions
- Monitor and optimize data transformations
What you’ll bring
- Bachelor's Degree in quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science)
- At least 4 years of work experience in software engineering
- Experience with one or more major cloud vendors: AWS, GCP, Azure
- Experience with infrastructure as code tools and methodologies
Technologies
AWS · GCP · Azure · Terraform · Python · SQL · Snowflake · ELT · ETL · infrastructure as code
About LetsGetChecked
At-home health platform spanning diagnostic testing, virtual care, genetic sequencing and medication delivery, with in-house manufacturing, labs, physicians and prescription fulfillment.
Series F · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
teams to deliver next-generation solutions that patients and healthcare partners need today and into the future. Job Description The Senior Data Engineer will be responsible for building and maintaining the platform that services timely and accurate data for operational teams and business stakeholder decision makers. We work closely with Data Scientists and Data Analysts to transform data into meaningful business insights. We also work closely with DevOps to codify infrastructure as code and ensure our platform can scale. Accelerate Your Career as You: Deploy new data pipelines Design and build data observability platforms and metrics Build metadata driven pipeline solutions Monitor and optimize data transformations Build third party data integrations Minimum Qualifications: Bachelor's Degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data
More from the job description
Job Summary At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed treatments – and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs. Fuze Health’s foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future. Job Description The Senior Data Engineer will be responsible for building and maintaining the platform that services timely and accurate data for operational teams and business stakeholder decision makers. We work closely with Data Scientists and Data Analysts to transform data into meaningful business insights. We also work closely with DevOps to codify infrastructure as code and ensu [... source excerpt omitted ...] and build data observability platforms and metrics Build metadata driven pipeline solutions Monitor and optimize data transformations Build third party data integrations Minimum Qualifications: Bachelor's Degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science At least 4 years of work experience in software engineering Experience with one or more of the major cloud vendors: AWS, GCP, Azure Experience with infrastructure as code tools and methodologies Experienced in SQL-based and python data manipulation with large datasets Preferred Qualifications: Master's Degree in a quantitative field (Statistics, Economics, Engineering, Math [... source excerpt omitted ...] or Data Science) Experience with AWS and Terraform Experience in designing ELT/ETL workflows Programming experience in Python Experience administering/tuning Snowflake Physical requirements for this role include the ability to work at a computer terminal with monitor, keyboard and mouse for extended periods of time, stoop, bend, and reach for equipment and supplies, make frequent repetitive motions required to operate a computer that include the wrists, hands and fingers, and lift, carry, push, pull, and move light objects up to 20 pounds. The role also requires the ability to effectively communicate through verbal interactions, discern auditory information, and visually perceive
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