Senior Software Engineer - Data Platform

Cohere Health

126d • $130,000 - $170,000

About The Position

We’re seeking a Senior Data Engineer to join our Data Platform team and take ownership of designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for an engineer who thrives on solving complex data challenges, mentoring others, and raising engineering standards while contributing to scalable and sustainable platform growth. As a Senior Data Engineer, you’ll operate across the end-to-end data lifecycle—from ingestion to transformation to integration—driving solutions that align with architectural best practices, governance needs, and business outcomes. You’ll partner closely with analytics engineers, architects, and product stakeholders to ensure that data products are performant, compliant, and trustworthy.

Requirements

• 5+ years of experience in data engineering or software development with a strong focus on data infrastructure
• Strong proficiency in Python and SQL, with experience applying software engineering rigor to data workflows (testing, version control, observability)
• Hands-on experience with modern data tools such as Airflow, dbt, AWS (EMR, Athena, S3), Iceberg, Parquet, and Kafka
• Demonstrated success designing and delivering large-scale, reliable, and governed data infrastructure projects
• Track record of building and maintaining production grade systems using APIs
• Track record of mentoring engineers and raising team-wide engineering standards through code reviews, documentation, and knowledge sharing
• Ability to work effectively in a fast-paced, agile environment, collaborating across technical and non-technical stakeholders
• Experience with healthcare data (claims, eligibility, clinical, EHR) is strongly preferred
• Understanding of data security, privacy, and compliance practices (HIPAA or similar) in pipeline and platform design
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field

Responsibilities

• Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
• Mentor junior engineers, sharing expertise and raising team-wide engineering standards
• Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs
• Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment
• Write clean, maintainable, and 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
• Collaborate with cross-functional stakeholders (analytics, product, compliance) to ensure technical solutions meet business needs
• Participate in on-call rotations to support critical platform jobs and reduce operational disruptions
• Champion a culture of excellence, accountability, and continuous improvement through code reviews, documentation, and knowledge sharing

Benefits

• Fully remote opportunity with about 5% travel
• Medical, dental, vision, life, disability insurance, and Employee Assistance Program
• 401K retirement plan with company match; flexible spending and health savings account
• Up to 184 hours (23 days) of PTO per year + company holidays
• Up to 14 weeks of paid parental leave
• Pet insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees