Senior Software Engineer (Data Platform)

Cohere Health; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life & Disability Insurance

Flexible Time Off & Holidays

401(K) Retirement Plan with Employer?0

Job summary

Cohere Health is seeking a Senior Software Engineer for the Data Platform team to design and deliver large-scale, reliable data pipelines powering analytics, operations, and clinical intelligence.

You will own end-to-end data lifecycle, mentor engineers, and help raise platform standards, while ensuring data products are performant, compliant, and trustworthy.

Qualifications

• 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.
• Experience with healthcare data (claims, eligibility, clinical, EHR) is strongly preferred.

Responsibilities

• Design and deliver large-scale, reliable data pipelines.
• Mentor junior engineers and raise engineering standards.
• Implement data quality, schema validation, and observability practices.

Skills

Python

SQL

Data pipelines

Mentoring

CI/CD

Education

Bachelor's or Master’s in Computer Science/Data Engineering

Tools

Airflow

dbt

AWS (EMR, Athena, S3)

Iceberg/Parquet

Kafka

Job description

• We’re seeking a Senior Software 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 Software Engineer of the data platform team, 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
• 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

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Life & Disability Insurance
• Flexible Time Off & Holidays
• 401(K) Retirement Plan with Employer Match Program
• Wellness Coach App
• Parental Leave
• Learning & Development Opportunities

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field is a plusTrack record of building and maintaining production grade systems using APIsDemonstrated success designing and delivering large-scale, reliable, and governed data infrastructure projectsTrack record of mentoring engineers and raising team-wide engineering standards through code reviews, documentation, and knowledge sharingStrong 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 KafkaBachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field is required5+ years of experience in data engineering or software development with a strong focus on data infrastructureAbility to work effectively in a fast-paced, agile environment, collaborating across technical and non-technical stakeholdersExperience with healthcare data (claims, eligibility, clinical, EHR) is strongly preferredExperience with snowflake, Databricks is a plusUnderstanding of data security, privacy, and compliance practices (HIPAA or similar) in pipeline and platform design