Software Engineer ll, Data Platform

Cohere Health

4d • $110,000 - $120,000 • Remote

About The Position

This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. We’re seeking a Software Engineer II to join our Data Platform team and contribute to building scalable, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for someone who enjoys working collaboratively across engineering and analytics teams and takes pride in delivering clean, well-documented, and production-ready data solutions. As a Software Engineer II, you’ll play a key role in our end-to-end data lifecycle—from ingestion to transformation to integration—enabling a high-trust data environment that supports real-time and batch workflows across domains. You’ll work with modern data tools and patterns, contribute to engineering standards, and help ensure platform performance, reliability, and scalability.

Requirements

• 2-3 years of experience in data engineering or software development with a strong focus on data infrastructure
• Bachelor’s degree in Computer Science, Engineering, or a related discipline—or equivalent practical experience
• Proficiency in Python and SQL, with experience applying software engineering principles to data workflows
• Track record of building and maintaining production grade systems using APIs
• Experience working with cloud-native data tools such as Airflow, dbt, AWS (EMR, Athena, S3), and modern table formats (e.g., Iceberg, Parquet)
• Ability to collaborate effectively across technical and non-technical teams in a fast-paced, agile environment
• Excellent problem-solving skills and a growth-oriented mindset

Nice To Haves

• Healthcare data experience (e.g., claims, clinical, EHR)
• Familiarity with streaming pipeline (eg: Kafka)
• Familiarity with CI/CD pipelines, testing frameworks, and observability practices for data systems

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting, transforming, and curating data from internal and external sources
• Implement and enforce schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs
• Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products that meet business needs
• Write clean, testable code in Python and SQL, following best practices in version control, CI/CD, and documentation
• Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet
• Participate in on-call rotations to support critical platform jobs and minimize operational disruptions
• Contribute to a culture of engineering excellence through code reviews, documentation, and knowledge sharing

Benefits

• Medical, dental, vision, life, disability insurance, and Employee Assistance Program
• 401K retirement plan with company match
• flexible spending and health savings account
• Flex Time Off + company holidays
• Up to 14 weeks of paid parental leave
• Pet insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree