Prenuvo Logo

Prenuvo

Senior Analytics Engineer

Posted Yesterday
Remote
Hiring Remotely in USA
115K-130K Annually
Senior level
Remote
Hiring Remotely in USA
115K-130K Annually
Senior level
Leads enterprise analytical modeling and semantic architecture, establishes standards for testing, documentation, governance, lineage, observability, and access, and develops reusable governed data products. Partners across Product, Engineering, Finance, Clinical, Research, Marketing, and AI teams; guides architecture reviews, data quality ownership, semantic layer design, and governance adoption. Mentors engineers and drives modernization of analytical environments.
The summary above was generated by AI

About Us

At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again".

We are looking for a Senior Analytics Engineer, to lead enterprise modeling and semantic architecture, raise engineering standards, and help the Data & Analytics team scale through shared patterns, mentorship, and governed data products.

This role does not provide visa sponsorship. Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship for a work visa (current or future).

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!

What You'll Do

  • Drive the implementation and continued evolution of enterprise analytical modeling standards, including domain boundaries, shared entities, dimensional design, and semantic layer architecture.
  • Create practical standards for model design, testing, documentation, lineage, observability, access, code review, and release management.
  • Guide the transition from one off marts and dashboard specific logic toward reusable, governed data products.
  • Collaborate closely with data team members by leading architecture reviews, guiding system design, and co-owning high-impact technical choices.
  • Lead cross domain design with Product, Engineering, Finance/Accounting, Clinical, Research, Growth/Marketing, and AI stakeholders.
  • Define how trusted measures and dimensions are exposed across Sigma, analytical workflows, and governed AI experiences.
  • Support data quality ownership by connecting business definitions, source system accountability, automated controls, and incident response.
  • Execute and operationalize the enterprise data governance framework in partnership with Data leadership, translating organizational direction into clear standards, ownership models, quality controls, documentation, and adoption practices across teams.

What You’ll Bring

  • At least 4 years of experience in analytics engineering, data engineering, data architecture, or a related discipline.
  • Deep expertise in SQL, dbt, dimensional modeling, data warehouse design, and reusable analytical data product development.
  • Hands on experience designing semantic or metrics layers used across multiple analytical consumers.
  • Strong knowledge of testing, observability, lineage, metadata, access controls, privacy aware architecture, and software development lifecycle practices.
  • Demonstrated ability to lead architecture through influence, create clear technical decision records, and mentor experienced engineers.
  • Experience balancing enterprise consistency with iterative delivery and domain specific needs.
  • Strong communication skills with the ability to connect technical choices to organizational risk, speed, cost, and business outcomes.

Nice to Have

  • Experience with Databricks, Fivetran, Sigma, and dbt MetricFlow or a comparable semantic layer platform.
  • Experience working with healthcare data in a regulated environment, with a strong understanding of privacy, governance, and responsible data use.
  • Experience designing data contracts, domain oriented data products, or a data governance operating model.
  • Experience modernizing a growing analytical environment without disrupting critical reporting.

Our Values 

First: we are Pioneers

  • Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

  • We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

  • We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

  • An avenue to make a positive impact on people's lives and their health
  • We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
  • Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
  • Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
  • Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
  • Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions.
  • We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
  • The base salary for this role ranges from $165,000-$185,000 in local currency, depending upon experience

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to [email protected].


HQ

Prenuvo Redwood, California, USA Office

Redwood, CA, United States

Similar Jobs

7 Days Ago
Remote
United States
116K-155K Annually
Senior level
116K-155K Annually
Senior level
Beauty • Robotics • Design • Appliances • Manufacturing
Own end-to-end data products, including source onboarding, API and file-feed ingestion, orchestration, incremental and idempotent pipelines, Snowflake and dbt Cloud modeling, testing, documentation, alerting, and production reliability. Establish engineering standards, manage secrets and governance, use AI coding tools responsibly, collaborate with vendors and stakeholders, and mentor junior engineers.
Top Skills: AirflowAmazon S3DagsterDbt CloudGitJinjaPythonRest ApisSftpSnowflakeSQL
Yesterday
Remote
United States
150K-170K Annually
Senior level
150K-170K Annually
Senior level
Consumer Web • Software
Own the Finance and Operations data layer, integrating systems into Snowflake and Omni, building reusable data models, dashboards, governed metrics, validation checks, and reconciliation workflows. Partner with Finance, Operations, and Data teams to translate business processes into trusted analytics, improve data quality, automate reporting, and support leadership decision-making.
Top Skills: EdiLookerNetSuiteOmniPigmentPower BIRampSigmaSnowflakeSQLTableauTmsWms
Yesterday
Remote
United States
140K-165K Annually
Senior level
140K-165K Annually
Senior level
Cloud • Security • Software
Own and evolve the analytics platform, including data models, pipelines, metric definitions, semantic layers, dashboards, and self-service data products. Partner with cross-functional stakeholders to translate business needs into reliable technical solutions. Lead data initiatives, improve ELT reliability and governance, resolve quality issues, mentor teammates, and shape the Analytics team’s technical roadmap. The role requires strong SQL, dbt, modern data-stack experience, business communication, and independent execution in an ambiguous environment.
Top Skills: BigQueryData PipelinesData WarehousesDbtDimensional Data ModelingEltFivetranGoogle Cloud PlatformHexHightouchLookerModeOmniPythonSemantic LayersSigmaSQLTableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account