Analytics Engineer

Healthcare is a $4+ trillion industry in the U.S. alone, and it’s undergoing a rapid digital transformation.

Hospitals, digital health companies, and life sciences organizations rely on analytics and advertising tools to reach patients, measure performance, and grow. But those tools weren’t built for regulated healthcare data. That creates real compliance risk and forces teams to choose between growth and privacy.

We’re a privacy-first data platform that helps healthcare organizations use modern marketing and analytics tools without exposing protected health information (PHI). Freshpaint sits between a company’s website or app and the third-party tools they use, automatically detecting and controlling sensitive data before it’s shared.

In short: we let healthcare teams move fast, safely.

Freshpaint is backed by some of the most respected names in technology, including:

• Y Combinator (OpenAI, Stripe, Airbnb, Coinbase, DoorDash)

• Intel Capital (Broadcom, Astera Labs, VMware, RedHat, MongoDB)

We’ve raised tens of millions of dollars in funding to build the privacy infrastructure layer for healthcare’s digital future.

We’re looking for a Analytics Engineer who thinks in systems, not dashboards — someone who sees messy, fragmented data and instinctively starts designing the structure that makes it usable, reliable, and scalable.

You’re at your best when you’re building foundations that others depend on. You don’t just answer questions — you eliminate the need to ask them twice. You care deeply about data quality, consistency, and trust, and you hold a high bar for how data is modeled, documented, and used across a company.

You operate with leverage in mind. Instead of reacting to ad hoc requests, you build durable data assets that scale across teams and reduce friction over time. You’re comfortable working across Product, Engineering, and GTM, translating real-world problems into clean, well-defined data models.

You’re equally comfortable going deep in SQL/dbt as you are stepping back to define standards, governance, and long-term architecture. And most importantly, you measure success not by output, but by how much faster and more confidently the business can move because of your work.

Freshpaint relies on data to drive product decisions, growth strategy, and customer outcomes — and as we scale, the need for a unified, reliable data foundation becomes critical.

In this role, you’ll architect and own that foundation.

You’ll design the unified data model that powers how teams measure performance, run experiments, and make decisions. You’ll build scalable dbt models in Snowflake, establish standards for how data is defined and governed, and create the analytics layer that enables self-serve insights and advanced use cases.

Your work will reduce metric fragmentation, eliminate ambiguity, and increase trust in data across the company. By turning data into a consistent, reliable system, you’ll enable teams to move faster, focus on higher-leverage work, and make better decisions with confidence.

• Design and own the unified data model in Snowflake using scalable, production-grade dbt models

• Build analytics-ready datasets that serve as the single source of truth for KPIs and decision-making

• Establish modeling standards, metric definitions, and governance frameworks that scale with the company

• Partner with Product and Engineering to ensure reliable event instrumentation and high-quality upstream data

• Develop datasets that support experimentation, growth analysis, and advanced analytics use cases

• Build and maintain ingestion pipelines (e.g., Fivetran) to support new strategic data sources

• Create scalable data marts and Looker dashboards that enable self-serve analytics across teams

• Translate complex data into clear, actionable insights that influence product and go-to-market decisions

• Implement testing, monitoring, and anomaly detection to ensure data reliability and trust

• Reduce ad hoc work by building durable, reusable data assets that increase leverage across the organization

• 7+ years of experience in analytics engineering, data engineering, or business intelligence roles.

• 3+ years of hands-on dbt experience building scalable, production-grade data models.

• Deep SQL expertise and strong dimensional modeling fundamentals.

• Experience working with modern data stacks (Snowflake, Fivetran, Looker).

• Experience supporting experimentation, predictive analytics, anomaly detection, or other advanced use cases.

• Proven ability to implement governance practices and data quality controls.

• Strong cross-functional collaboration skills; you translate technical complexity into business clarity.

• Strong business acumen: you connect data architecture decisions directly to growth, product strategy, and revenue impact.

• Comfort operating in ambiguity and proactively defining high-leverage initiatives.

• Proficiency in Python for analytics, automation, or advanced analytical workflows.

• Experience operationalizing ML outputs or advanced analytics into production workflows.

• Familiarity with feature engineering or experimentation frameworks.

• Experience with workflow orchestration tools (e.g., Airflow).

• Familiarity with GitHub and version control best practices.

• Experience mentoring analytics engineers or fostering a data-driven culture.

We take care of our team—here’s a peek at what you get when you join:

• Competitive pay + generous equity (10-year exercise window)

• Fully remote (U.S. only) with a $150/month coworking stipend

• Half-day Fridays, every Friday

• 16 weeks fully paid parental leave (eligible after 6 months; commission-based roles receive 100% base salary during leave)

• Unlimited PTO with a required 2-week minimum

• Top-tier health, dental & vision (100% covered for you, 80% for dependents)

• 2 “Treat Yourself” days a year—$100 and a day off, just because

• Intentional & engaging company offsites 2x a year (past trips: Arizona, Jackson Hole, Cabo, Nashville, New Orleans & more) + a department offsite 1x per year

And more! Check out our careers page for the full list.