Sr. Software Engineer, Data Platform

Cohere Health
•$135,000 - $160,000•Remote

About The Position

Cohere Health is seeking a Senior Software Engineer to join its Data Platform team and design and deliver large-scale, reliable, and governed data pipelines that support analytics, operations, and clinical intelligence. The role spans the data lifecycle from ingestion through transformation and integration, with a focus on architectural best practices, governance, and business outcomes. The engineer will partner with analytics engineers, architects, and product stakeholders to build performant, compliant, and trustworthy data products. This is a remote-first role that may require travel to Boston, Massachusetts, for new-hire onboarding and occasional in-person team meetings and company events. The posting estimates travel at about 5%.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field is required.
  • At least 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, including testing, version control, and 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 and collaborate with technical and non-technical stakeholders.
  • Understanding of data security, privacy, and compliance practices such as HIPAA or similar in pipeline and platform design.

Nice To Haves

  • Experience with healthcare data, including claims, eligibility, clinical, or EHR data, is strongly preferred.
  • Experience with Snowflake or Databricks is a plus.

Responsibilities

  • Lead the design and implementation of complex data pipelines and infrastructure across multiple domains.
  • Mentor junior engineers and raise team-wide engineering standards.
  • Implement and enforce data quality, schema validation, and observability practices.
  • Contribute to architecture discussions and tool evaluation to shape platform scalability and governance alignment.
  • Write clean, maintainable, and testable Python and SQL code, 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 analytics, product, and compliance stakeholders to ensure technical solutions meet business needs.
  • Participate in on-call rotations to support critical platform jobs and reduce operational disruptions.
  • Promote engineering excellence, accountability, and continuous improvement through code reviews, documentation, and knowledge sharing.

Benefits

  • Medical, dental, vision, life, and disability insurance, plus an Employee Assistance Program.
  • 401(k) retirement plan with company match.
  • Flexible spending account and health savings account.
  • Flex Time Off and company holidays.
  • Up to 14 weeks of paid parental leave.
  • Pet insurance.
  • Bonus as part of the total benefits package.
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