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About the Role

Clarus is seeking an experienced Analytics Engineer to own the analytics engineering process and serve as the technical bridge between Data Engineering and Analytics delivery. This role will build, expand, and optimize Clarus’s analytics architecture and pipelines, improving how data flows from diverse sources to downstream analytics solutions. You will lead high-impact data product and solutions initiatives from ambiguous problem definition through technical design, implementation, rollout, and adoption. You will transform raw and curated data into reliable, analytics-ready models and consistent business metrics using dbt, SQL, Python, and Databricks, while establishing a scalable architecture and strong engineering practices.

Responsibilities

Own analytics engineering work, including its roadmap, priorities, standards, and operating practices.
Design and evolve analytics architecture, with clear responsibilities and quality expectations across bronze, silver, and gold data layers.
Build, maintain, and optimize dbt models that transform source data into curated, reusable, analytics-ready datasets.
Write and optimize advanced SQL, and use Python for data transformation, validation, automation, and complex processing where appropriate.
Develop dimensional and business-oriented data models that support dashboards, self-service analysis, operational reporting, and data products.
Establish and document shared KPI definitions, calculation logic, data contracts, ownership, and authoritative sources.
Implement automated tests, source freshness checks, documentation, lineage, and monitoring to make data quality visible and dependable.
Establish disciplined development practices, including Git-based version control, code review, CI/CD, and controlled promotion across environments.
Partner with Data Engineering on ingestion, source schemas, platform performance, and reliable handoffs between foundational and analytical data layers.
Partner with analysts, BI developers, and business stakeholders to translate requirements into scalable models rather than one-off reporting logic.
Improve Databricks performance and cost efficiency through thoughtful table design, incremental processing, query optimization, and compute usage.
Lead data-quality investigations, root-cause analysis, remediation, and communication when critical analytics assets do not meet expectations.
Strengthen data governance by applying appropriate access controls, handling sensitive data responsibly, and supporting consistent ownership and stewardship.
Migrate duplicated spreadsheet, dashboard, and ad hoc query logic into governed, tested, and reusable dbt models.
Design resilient models that support historical analysis, changing source systems, incremental loads, and evolving business definitions.
Create clear technical documentation, modeling conventions, and enablement materials that drive adoption of trusted data assets.
Raise analytics engineering capability across the team through design reviews, reusable patterns, thoughtful feedback, and hands-on mentorship.

Requirements

Bachelor’s degree or higher in computer science, data engineering, analytics, information systems, mathematics, or a related discipline, or equivalent professional experience.
A strong record of success leading complex analytics engineering, data engineering, business intelligence engineering, or closely related initiatives.
Experience in animal health, veterinary services, pet insurance, SaaS, fintech, or health technology is a plus.
8+ years of relevant data and analytics experience, including senior-level ownership of production analytics data models and standards.
Advanced SQL skills and demonstrated experience designing, debugging, and optimizing complex transformations.
Deep, hands-on dbt experience, including scalable model architecture, testing, incremental models, snapshots, documentation, macros, packages, and production deployment workflows.
Strong Databricks experience, including Delta Lake, Spark SQL, Workflows or Jobs, Unity Catalog, and performance management / tuning.
Demonstrated skill operating medallion architectures and lakehouse data models across bronze, silver, and gold layers.
Strong Python skills for data processing, testing, validation, automation, and engineering utilities.
Strong understanding of dimensional modeling, warehouse and lakehouse design, semantic layers, slowly changing dimensions, and metric governance.
Experience with modern engineering practices, including Git, CI/CD, code review, automated testing, orchestration, and environment management.
Ability to translate ambiguous business needs into clear technical designs and communicate effectively with senior leaders and non-technical stakeholders.

Skills

dbt
SQL
Python
Databricks
Delta Lake
Spark SQL
Unity Catalog
Git
CI/CD
dimensional modeling
lakehouse data models

Location

Remote U.S.

Work Type

Remote
Full-time

Experience Level

8+ years of relevant data and analytics experience
Senior-level ownership

Education Level

Bachelor’s degree or higher in computer science, data engineering, analytics, information systems, mathematics, or a related discipline, or equivalent professional experience.

Salary/Compensations

Chicago/Boston Base pay range: $123,774 – $154,718 per year
NYC Base pay range: $135,026 - $168,784 per year
Miami Base pay range: $118,148 - $147,686
Nationwide Base pay range: $112,522 - 140,653 per year

Benefits

Comprehensive full medical, dental and vision Insurance
Basic Life Insurance at no cost to the employee
Company paid short-term and long-term disability
12 weeks of 100% paid Parental Leave
Health Savings Account (HSA)
Flexible Spending Accounts (FSA)
Retirement savings plan
Personal Paid Time Off
Paid holidays and company-wide Wellness Day off
Paid time off to volunteer at nonprofit organizations
Commuter Benefits
Group Pet Insurance
On the job training and skills development
Employee Assistance Program (EAP)

About the Company

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.
We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets.
As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents.
Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.
Clarus, a Doubtless company, is a pioneering pet health technology company transforming the future of pet healthcare.
We develop connected solutions across the pet health landscape, helping veterinary teams and pet owners make more informed care and financial decisions.
Together, we are reducing complexity and helping more pets receive the care they need.

Equal Opportunity

Please note that phone and video interviews or screenings may be recorded and transcribed using interview technology to support our recruitment process. By continuing with the interview, you consent to this use.
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