Senior Analytics Engineer
United States
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Full Time Senior-level / Expert USD 115K - 135K
Cohere Health
Cohere Health is transforming utilization management and prior authorization from an inefficient burden into a strategic asset.Opportunity Overview:
We are seeking a Senior Analytics Engineer to join our Data Platform team and help scale the delivery of clean, high-trust, and reusable data assets across Cohere Health. In this role, you will lead the design and implementation of advanced data models, drive the standardization of our semantic layer, and elevate the quality, performance, and usability of data leveraged by analytics, product, and business stakeholders.
Youāll collaborate closely with data engineers, analysts, and cross-functional partners to translate business logic into scalable models, implement data quality and testing standards, and ensure outputs are well-documented, trusted, and production-ready. You will also mentor Analytics Engineers and contribute to the maturity of our modeling practices and data platform architecture.
This role is ideal for someone who thrives at the intersection of data modeling, engineering rigor, and business impact ā and who is excited to shape how healthcare data is structured, governed, and used to drive value at scale.
What youāll do:
- Own the end-to-end design and implementation of scalable, reusable data models that power enterprise reporting and analytics
- Lead the development and adoption of semantic layers, trusted metrics, and standardized KPIs across the organization
- Partner with analysts, product managers, and engineers to translate complex business logic into governed, analysis-ready datasets
- Define and uphold best practices across data modeling, testing, documentation, version control, and data quality monitoring
- Promote the use of data lineage, observability, and validation frameworks to build trust and transparency in analytics workflows
- Collaborate with Architects and Staff Engineers to align on architecture, optimize performance, and improve platform reliability
- Drive team-wide improvements in tooling, automation, and workflow efficiency
- Mentor and support other Analytics Engineers through code reviews, technical guidance, and skill development
- Participate in on-call rotations to support critical analytics pipelines and ensure continuity of data availability
What youāll need:
- 5+ years of experience in analytics engineering, data engineering, or similar roles
- Deep proficiency in Spark, SQL and dbt; strong understanding of data modeling principles (e.g., dimensional modeling, star/snowflake schemas)
- Hands-on experience building analytics workflows using Airflow and AWS AthenaĀ
- Strong understanding of data lakehouse architectures (e.g., S3, Glue, EMR, Iceberg/Parquet formats) and how they support scalable analyticsĀ
- Hands-on experience with version control, CI/CD, and data testing frameworks
- Ability to translate ambiguous business questions into scalable data solutions
- Strong communication skills and a collaborative mindset; comfortable working across product, analytics, engineering, and business teams
- Experience with EMR, claims, or healthcare-related data preferred
- Familiarity with modern data stacks (e.g., Snowflake, Redshift, Airflow, Looker, Tableau, or similar)
- Bachelor's or Masterās degree in a STEM, analytics, or related discipline
Pay & Perks:
š» Fully remote opportunity with about 5% travel
𩺠Medical, dental, vision, life, disability insurance, and Employee Assistance ProgramĀ
š 401K retirement plan with company match; flexible spending and health savings accountĀ
šļø Up to 184 hours (23 days) of PTO per year + company holidays
š¶ Up to 14 weeks of paid parental leaveĀ
š¶ Pet insuranceāÆĀ
The salary range for this position is $115,000 to $135,000 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!
- Take Home Project & PresentationĀ
- Technical DiscussionĀ
*Subject to change
About Cohere Health:
Cohere Health is a fast-growing clinical intelligence company thatās improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled.Ā That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn⢠Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.
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 canāt wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:Ā
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.Ā To us, itās personal.
Ā
#BI-Remote
Tags: Airflow Architecture Athena AWS CI/CD CoHere Data quality dbt Engineering KPIs Looker Parquet Pipelines Redshift Research Snowflake Spark SQL STEM Tableau Testing
Perks/benefits: 401(k) matching Career development Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Startup environment
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