[Remote] Sr. Software Engineer, Data Platform
Note: The job is a remote job and is open to candidates in USA. Cohere Health is a healthcare technology company whose platform supports payer-provider decision-making and clinical intelligence. The Senior Software Engineer will design and deliver scalable, reliable, and governed data pipelines and infrastructure, while improving data quality, observability, platform governance, and engineering standards. The role also involves mentoring engineers and collaborating with analytics, product, compliance, and other stakeholders.
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
- 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
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field is required
- 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
- 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 is a plus
- Experience with healthcare data (claims, eligibility, clinical, EHR) is strongly preferred
- Experience with snowflake, Databricks is a plus
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
- Flex Time Off + company holidays
- Up to 14 weeks of paid parental leave
- Pet insurance
- Bonus
Company Overview
Company H1B Sponsorship