Sr. Software Engineer, Data Platform at Cohere Health

Job description

Opportunity Overview: 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. 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. What you’ll do: 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 What you’ll need: 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 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 Pay & Perks: 💻 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  The salary range for this position is $135,000 to $160,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: Connect with Talent Acquisition for a Preliminary Phone Screening Meet your Hiring Manager! Feature Design System Design Behavioral Interview *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles . We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote

Requirements

Must-haves

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.
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
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
Fully remote opportunity with about 5% travel
Pet insurance

Nice-to-haves

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

Application prep

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Keywords to mirror

pythonsqlci/cdawsagileai

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401k

Parental Leave