Senior Data Engineer (Python) - Remote

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.

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.

• 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

• 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
• Experienced in SQL-based and python data manipulation with large datasets
• Master's Degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science)
• Experience with AWS and Terraform
• Experience in designing ELT/ETL workflows
• Programming experience in Python
• At this time, Fuze Health is unable to sponsor or take over sponsorship of an employment Visa.

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. Consistent with the Americans with Disabilities Act (ADA) and similar applicable state laws, it is Fuze Health's policy to provide reasonable accommodation to enable qualified individuals with disabilities to perform essential job functions, unless such accommodation would cause an undue hardship.

• Equity Eligible: NoTravel: No
• Dental, vision, and multiple group medical plans to choose from
• a 401(k) retirement savings plan
• group life insurance
• accidental death and dismemberment (AD&D) insurance
• flexible spending account (FSA) and health savings account (HSA)
• commuter benefits
• employer-paid short-term (STD) and long-term disability (LTD) insurance
• additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, home health testing kits, and a fertility medication discount program)
• flexible vacation time
• accrued paid sick time
• 10 paid holidays, (2 floating holidays for full time non-exempt employees) , and eight weeks of paid parental leave for eligible employees, additional paid weeks for the birthing parent, 4 weeks paid caregiver leave, and a Lifestyle Spending Account allowance each month

All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected basis. If you have a disability and require reasonable accommodation during any portion of the application or hiring process, please contact us at

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Fuze Health recruiters and hiring managers may use automated decision tools to help identify candidates who match the stated job requirements, and to what extent. These tools are designed to help ensure fairness in all aspects of the hiring process by providing recruiters and hiring managers with data-backed insights based on information provided in your resume, including work experience, education, and other skills.