Software Engineer IV

What you will do

• Develop services that facilitate ingestion, storage, and extraction of data throughout HealthVerity’s data ecosystem
• Design and build APIs that support data pipelines
• Build applications that enable internal teams to configure data pipelines
• Build tools that will orchestrate and automate data pipeline
• Work collaboratively with a team of driven engineers, engaging in paired programming and code reviews
• Work with key stakeholders to refine requirements and eliminate ambiguity
• Design, discuss, implement, and ship solutions to support the healthcare insights economy
• Work with our product teams to understand the needs of our users and build the software that addresses those needs
• Improve the software development process through agile ceremonies
• Mentor engineers and foster an environment of collaboration and learning

How success is defined

• High throughput, consistently maintains high velocity
• Assess technical feasibility of high complexity requests across multiple systems
• Optimize systems for known constraints
• Fosters a strong team culture with focus on cross functional collaboration

Required skills and experience

• 8+ years of Python experience
• 3+ years of AWS experience
• 4+ years experience with javascript or modern frameworks (React js preferred)
• Experience with continuous integration and continuous deployment technologies
• 3+ years of Spark, or similar technologies, experience 
• 3+ years of experience building data pipelines
• Experience with serverless framework

Desired skills and experience

• Bachelor’s in computer science, engineering or related field
• Prior experience developing software in a fast paced, start up environment
• Experience working in regulated industry like healthcare or finance with compliance requirements
• Experience in application architecture, microservice architecture, event driven architectures, messaging systems, and domain driven design
• Experience with Airflow
• Experience working with Lean / Agile development methodologies