Senior Data Engineer

Location: Remote, United States

Salary: $130,000–$150,000 USD per year

Company

hirify.global develops healthcare solutions using machine learning, generative AI, and behavioral science to help hospitals improve patient care and operational outcomes.

What you will do

• Discover, evaluate, and integrate new datasets, including pipeline development, data modeling, and documentation.
• Manage data assets throughout their lifecycle while maintaining context and partnering on ingestion and solution data engineering.
• Translate product and analytical vision into reliable, modular, secure data pipelines and trusted data products.
• Design data structures, build and schedule transformation pipelines, and improve data transparency.
• Set company standards for data engineering practices, architecture, pipeline design, and technology integration.
• Partner with data stakeholders, solution experts, integrations partners, and cross-functional users to define requirements and quality checks.

Requirements

• Excellent cross-functional communication and the ability to explain complex technical concepts to technical and non-technical partners.
• Advanced data intuition and analytical skills, including interpreting complex datasets, identifying patterns and anomalies, and extracting meaningful insights.
• Expertise in designing, developing, and optimizing high-quality data pipelines that provide reliable, modular, secure foundations for applications, analytics, and machine learning.
• Ability to independently manage ambiguous project requirements and lead data initiatives from start to finish while collaborating with cross-functional, non-technical teams.

Nice to have

• Healthcare experience.
• 5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms with large, diverse production datasets.
• Relevant data architecture certifications, including Databricks, AWS, SnowPro, Microsoft Fabric, or dbt certifications.
• Experience with MLOps or developing and maintaining machine learning models and infrastructure.
• Experience with data visualization and analytics tools such as Sigma, Looker, or Tableau.
• Degree in Computer Science, Engineering, or a related field.

Culture & Benefits

• Mission-driven work focused on improving healthcare operations and patient outcomes.
• Open paid time off and paid parental leave.
• Professional development, wellness, and technology stipends.
• Employee referral bonus and employee stock option awards.
• Equal opportunity employment and reasonable workplace accommodations.

Hiring process

• Employment is contingent upon satisfactory completion of a pre-employment background investigation and drug test.