Senior Analytics Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master’s degree in a STEM, analytics, or related discipline., 5+ years of experience in analytics engineering, data engineering, or similar roles., Proficiency in Spark, SQL, and dbt, with strong data modeling knowledge., Experience with data lakehouse architectures and analytics workflows..

Key responsibilities:

  • Design and implement scalable, reusable data models for reporting and analytics.
  • Lead the development of semantic layers, trusted metrics, and KPIs.
  • Collaborate with cross-functional teams to translate business logic into data solutions.
  • Mentor team members and support data quality and platform reliability.

Cohere Health logo
Cohere Health SME https://www.coherehealth.com/
201 - 500 Employees
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Job description

Opportunity Overview:

We are seeking a Senior Analytics Engineer to join our Data Platform team and help scale the delivery of clean, hightrust, 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.

You’ll collaborate closely with data engineers, analysts, and crossfunctional partners to translate business logic into scalable models, implement data quality and testing standards, and ensure outputs are welldocumented, trusted, and productionready. 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 – and who is excited to shape how healthcare data is structured, governed, and used to drive value at scale.

What you’ll do:

  • Own the endtoend 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, analysisready 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 teamwide improvements in tooling, automation, and workflow efficiency
  • Mentor and support other Analytics Engineers through code reviews, technical guidance, and skill development
  • Participate in oncall rotations to support critical analytics pipelines and ensure continuity of data availability
    • What you’ll 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, starsnowflake schemas)
      • Handson experience building analytics workflows using Airflow and AWS Athena
      • Strong understanding of data lakehouse architectures (e.g., S3, Glue, EMR, IcebergParquet formats) and how they support scalable analytics
      • Handson experience with version control, CICD, 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 healthcarerelated data preferred
      • Familiarity with modern data stacks (e.g., Snowflake, Redshift, Airflow, Looker, Tableau, or similar)
      • Bachelors or Master’s degree in a STEM, analytics, or related discipline

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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