Senior Data Engineer

About the role

A growing healthcare technology organization is seeking a Senior Data Engineer to help scale its data ecosystem and enable better insights, reporting, and decision-making across the business.

Responsibilities

• Develop and maintain scalable batch and streaming data pipelines
• Build robust data models and data infrastructure that support analytics and reporting
• Improve data quality through automated validation, testing, and monitoring frameworks
• Design and support APIs, data services, and integration solutions
• Optimize performance, reliability, and scalability across cloud-based environments
• Partner with Product, Engineering, Analytics, and Operations teams to deliver impactful data solutions
• Contribute to data architecture, governance, and long-term platform strategy

Requirements

• 5+ years of Data Engineering experience
• Strong SQL and Python development skills
• Experience building production-grade ETL/ELT pipelines
• Hands-on expertise with technologies such as Snowflake, dbt, Kafka, PostgreSQL, MongoDB, or similar tools
• Experience working within AWS or another cloud environment
• Strong understanding of data modeling, APIs, and scalable architecture
• Excellent communication and cross-functional collaboration skills

Qualifications

• Nice to have: Data observability, lineage, or cataloging experience
• Nice to have: Experience in healthcare, highly regulated industries, or governance-focused environments
• Nice to have: Exposure to data product development or domain-driven data practices

Benefits

• Full remote opportunity
• High-impact project within a growing healthcare technology organization
• Long-term engagement with strong extension potential
• Opportunity to influence data architecture and platform strategy

Pay

$75-$90/hr

Schedule

9-month contract