Note: The job is a remote job and is open to candidates in USA. Cohere Health develops clinical intelligence and AI-powered solutions for healthcare organizations. The Senior Software Engineer will design and deliver large-scale, reliable, and governed data pipelines and infrastructure, while mentoring engineers and improving engineering standards. The role spans the data lifecycle, including ingestion, transformation, integration, governance, monitoring, and cross-functional collaboration.
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
Skills
- * 5+ years of experience in data engineering or software development with a strong focus on data infrastructure
- * Demonstrated success designing and delivering large-scale, reliable, and governed data infrastructure projects
- * Track record of building and maintaining production grade systems using APIs
- * 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
- * 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
- * Experience with snowflake, Databricks is a plus * Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field is a plus
Benefits
- Fully remote opportunity
- 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
- Bonus
Company Overview
Company H1B Sponsorship