This is a Fully Remote Job
About Our Client:
This organization operates in the healthcare technology sector, focusing on improving hospital operations to enhance patient care. They address challenges in healthcare delivery by leveraging machine learning, generative AI, and behavioral science to help care teams anticipate and resolve issues proactively. The company has achieved rapid global scale backed by leading investors, impacting patients and healthcare providers through innovative data-driven solutions.
About the Opportunity:
The SENIOR DATA ENGINEER role is centered on pioneering data solutions that support the development and scaling of products aimed at improving healthcare operations. This position leads the design, development, and management of data assets and pipelines, working closely with cross-functional partners to ensure high-quality, secure, and integrated data flows. The role is critical for enabling effective data use across products that enhance patient and provider experiences.
Responsibilities:
Lead discovery, evaluation, and integration of new datasets, collaborating with stakeholders to assess impact and relevance.
Manage data assets lifecycle and maintain strong partnerships with ingestion and engineering teams.
Translate product and analytical needs into reliable, functional data pipelines.
Establish data engineering standards, guiding architecture and pipeline design while integrating advanced technologies.
Requirements:
Strong cross-functional communication skills for technical and non-technical audiences.
Advanced ability to interpret complex datasets, identify patterns, and extract insights, preferably with healthcare experience.
Expertise in designing, developing, and optimizing secure and modular data pipelines.
Proven capacity to lead ambiguous data projects independently while collaborating broadly.
Preferred: 5+ years in cloud-based, scalable data platform design and operation.
Preferred: Relevant data architecture certifications.
Preferred: Experience with MLOps and machine learning infrastructure.
Preferred: Familiarity with data visualization tools.
Preferred: Degree in Computer Science, Engineering, or related field.
Pay Range and Compensation Package:
Salary range $130,000 to $150,000 USD.
Benefits & Perks:
Paid parental leave
Open Paid Time Off
Professional development support
Wellness and technology stipends
Employee referral bonus
Employee stock option awards
Equal Opportunity Statement:
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.