Data Engineer (Medtech)

TL;DR

Data Engineer (SQL/ETL): Building and optimizing data architecture and pipelines for cross-functional teams with an accent on data profiling and complex data set assembly. Focus on implementing business requirements into technical data solutions and optimizing data flow for high-impact healthcare initiatives.

Location: Remote (USA). Must be authorized to work in the US; no visa sponsorship or F-1 STEM OPT extension provided.

Salary: $102,300 - $143,200 / year

Company

hirify.global is a top-ranked non-profit academic medical center dedicated to patient care, research, and education.

What you will do

• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Expand and optimize data architecture and data flow for cross-functional teams.
• Build and maintain ETL processes supporting data transformation, metadata, and workload management.
• Perform complex data analysis, profiling, and root cause analysis to identify improvement opportunities.
• Research and integrate new data sources to improve data management and quality initiatives.
• Collaborate with software developers, database architects, and data scientists on strategic data initiatives.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field (or Associate's with 2 years of experience).
• Must be authorized to work in the US without sponsorship.
• Strong proficiency in SQL, including the ability to handle complex joins and unions.
• Deep understanding of data modeling concepts and ETL processes.
• Experience with data exploration tools such as Rapid SQL, AQT, Information Analyzer, or Informatica.
• Demonstrated ability to extract value from large, disconnected datasets.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance plans.
• Pre-tax savings options including HSA and FSA.
• Competitive retirement package to secure future financial stability.
• Continuing education and professional advancement opportunities.
• Standard business hours schedule (Monday-Friday) with high flexibility.