Remote Principal Analytics Engineer Jobs
Remote principal analytics engineer jobs are in strong demand across the U.S., with remote-first firms and distributed data teams actively hiring for senior-level analytics infrastructure roles in sectors like software, fintech, and healthcare. Employers hiring remotely right now include Tendo, GeneDx, and Granicus. Scan the live roles below and apply to whichever ones fit.
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The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
About Tendo
Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
About Tendo
Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Who's Hiring
Top Industries Hiring
- Media & Entertainment
- Technology & Software
- Banking & Financial Services
- Biotechnology & Pharmaceuticals
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote principal analytics engineer jobs.
- Advanced proficiency in SQL and at least one analytics engineering tool such as dbt
- Experience building and maintaining production-grade data models in a cloud data warehouse
- Ability to define and enforce data modeling standards and best practices across teams
- Strong communication skills for translating technical data decisions to non-technical stakeholders
- Experience with version control and software engineering workflows applied to analytics code
- Bachelor's degree in a quantitative field or equivalent experience with five or more years in analytics engineering
Tips for Your Remote Principal Analytics Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote principal analytics engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly. Early applications matter because distributed teams often close postings fast once a strong pipeline forms.
Show your async communication in writing
Remote principal analytics engineers are expected to drive architecture decisions across distributed teams without face-to-face context. Include writing samples, decision docs, or pull request descriptions in your portfolio to show hiring managers you communicate clearly and independently.
Demonstrate ownership of data modeling decisions
Remote employers want evidence you've owned a data model end-to-end, not just contributed to one. Document your dbt project structures, naming conventions, and the reasoning behind key modeling choices in a public repo or portfolio writeup employers can review before the interview.
Prepare for remote-specific technical screens
Distributed teams often run take-home assessments and async code reviews instead of live whiteboard sessions. Practice walking through a dbt model redesign or a Snowflake schema decision in writing, since your ability to explain tradeoffs clearly on screen matters as much as the solution itself.
Remote Principal Analytics Engineer Jobs: Frequently Asked Questions
How do I get a remote principal analytics engineer job?
Remote principal analytics engineers get hired by targeting companies that run distributed data teams, such as remote-first SaaS firms, fintech platforms, and digital health companies. These employers screen hard for self-direction, clear async written communication, and the ability to drive data modeling decisions without in-person oversight. Strong proficiency in dbt, Snowflake or BigQuery, and version-controlled SQL, combined with a visible record of cross-functional data projects, gives you a clear edge over candidates with equivalent credentials.
Which companies hire remote principal analytics engineers?
Employers currently hiring remote principal analytics engineers include Tendo, GeneDx, and Granicus, per current remote listings on Migrate Mate as of November 2026. Remote-first software companies, distributed fintech teams, and healthcare data platforms account for a large share of these openings.
Can you get a remote principal analytics engineer job with no experience?
Yes, but remote principal-level roles are among the harder positions to break into without experience, since distributed teams expect you to operate independently from day one. Remote-first startups and early-stage data teams occasionally hire candidates who can demonstrate strong public dbt projects, open-source data work, or a detailed analytics portfolio that shows end-to-end modeling decisions. Targeted contract or freelance engagements also open the door when a full-time history is thin.
Do you need a degree for remote principal analytics engineer jobs?
Not always. Remote employers in this role weigh demonstrated technical ability heavily, so a portfolio showing production-grade dbt models, well-documented data warehouse design, and cross-functional stakeholder work can carry more weight than a formal credential. Many remote-first companies care most about whether you can operate autonomously and communicate architecture decisions clearly in writing, not what institution you attended.
Which industries hire the most remote principal analytics engineers?
Remote principal analytics engineer roles concentrate in Media & Entertainment, Technology & Software, and Banking & Financial Services, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data teams where senior analytics engineers own modeling infrastructure and stakeholder decisions entirely in async environments.
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