Want to know if this job is worth applying to?
New York, New York, United States
Hybrid
We're Scan.com. We're building America's national imaging network: the infrastructure that connects patients, providers, and payers to faster, better-value diagnostic imaging. Thousands of patients move through our platform every day, and each is a real person waiting for an answer to a healthcare concern. We exist to get them that answer faster.
We manage the medical imaging pathway end-to-end. Providers order through a single point of entry, and from there, we run the entire medical diagnostic pathway. Managing the full pathway, rather than brokering pieces of it, is what lets us deliver imaging faster, at higher quality, and at a lower cost than the fragmented status quo.
We're looking for a Data Engineer at an exciting time. We've raised over $200m in funding to date, reached profitability, and are growing 100% year on year.
Millions of people wait too long for a diagnosis. Come help us fix that.
Data at Scan.com is a full-stack discipline. We don't have analysts who hand off to engineers to build the model, or engineers who hand off to analysts to build the dashboard. As a Data Engineer, you will own the work end-to-end, from raw source data through the transformation layer, through the product that a stakeholder uses to make a decision.
Our data team supports every function across the US and UK: operations, revenue cycle, marketing, sales, provider success, and product. We sit at the center of a fast-moving business, and the work ranges from answering a precise operational question to building the automated reporting infrastructure that makes that question answerable without us in the loop next time.
We use a modern tech stack: Fivetran and Python for ingestion, Snowflake as our data warehouse, dbt for transformations, GitHub for CI/CD, Tableau for visualizations, and Cursor, Claude, and Snowflake Cortex for AI-assisted development. Our source systems span Postgres, HubSpot, Front, Acuity, Dialpad, and Facebook and Google Ads.
As a scale-up business, you can expect your role to develop over time. Here are some of the types of things you could be getting involved in:
Build and maintain dbt models that transform raw source data into reliable, well-documented, tested analytical assets used across the business
Partner with stakeholders across Operations, Finance, Marketing, Sales, and Product to translate ambiguous business questions into precise analytical deliverables. You should be able to identify if the ask needs refinement before the work begins
Design and ship Tableau dashboards and data products that automate reporting that currently requires manual effort, permanently removing recurring analytical burden from the team
Identify gaps in our data coverage and work with engineering or independently to close them. This can mean writing a Python ingestion pipeline or modeling a new source
Maintain data quality standards across the warehouse: write dbt tests, monitor for anomalies, and ensure that the numbers stakeholders see are trustworthy
Contribute to the team's analytical infrastructure. This means shared macros, source definitions, documentation standards, and CI/CD practices.
Stretch into various data science or data engineering projects based on business demand and based on your own personal development: pipeline development, ML feature preparation, or predictive modeling.
This is a hybrid role located in New York City.
Deep business context. Within 90 days, you understand the unit economics, operational workflows, and key performance drivers across the functions you support. You can receive a stakeholder request and immediately identify whether it's answerable with existing models, requires new modeling work, or requires a better-defined question.
Reliable analytical infrastructure. You have meaningfully improved the coverage, test depth, and documentation of our dbt model layer — making it easier for the next analyst to build on your work and reducing the frequency of data quality incidents.
High-impact data products shipped. Several Tableau dashboards or analytical products are in production and actively used by stakeholders to make decisions, replacing manual reporting or filling a genuine analytical gap.
Automation wins. You have identified and eliminated at least one recurring manual reporting process, replacing it with a scheduled, automated output that runs without human intervention.
Trusted analytical partner. Stakeholders across the business seek out your input before they finalize requirements, not after. You are known for asking the right clarifying questions and delivering work that answers the real question, not just the stated one.
You don't need to tick all the boxes to apply for this role. Whether it's your first role or your fifth, we believe everyone can add value, learn, and grow. However, these might be some of the ways you are currently adding value:
Strong SQL: you write complex queries fluently, understand query performance, and don't need a template to construct a multi-stage transformation
Hands-on experience with a modern data transformation tool, ideally dbt or SQLMesh. You understand the model DAG, have written tests and documentation, and are familiar with CI/CD practices in a transformation layer
Experience with a modern cloud data warehouse, ideally Snowflake or BigQuery — you understand how storage and compute interact and can write warehouse-idiomatic SQL
Proficiency with a BI tool such as Tableau, Metabase, Sigma, or Omni — you can design a dashboard that stakeholders actually use, not just one that technically answers the question
Strong stakeholder instincts: you have worked directly with non-technical stakeholders to scope and deliver analytical work, and you know how to translate between business language and data model logic
Python for data work. Ingestion pipelines with libraries like dlt, pandas-based transformation scripts, or scripted automation of manual reporting processes
For this role, the expectation is that you are an AI-Native. You build with AI directly, shipping, automating, or prototyping real work with LLMs and agents, and have clear judgment on where humans must stay in the loop.
Startup experience is a plus. You are comfortable with ambiguity, can prioritize without perfect information, and don't need a fully defined ticket to get started
Healthcare experience is a plus, particularly in imaging, RCM, or provider operations — but strong analytical fundamentals in any high-velocity domain are equally valued
At Scan.com, AI isn't a side project; it's how we work. We expect everyone to use AI to think faster, remove drudgery, and multiply their output. What we care about is judgment: knowing when AI makes you sharper, when it doesn't, and how to use it responsibly around patient data. We'll assess this in the way that matters for this role, using the tier below. You don't need to be an engineer. You need to be someone who reaches for the best tool and gets more done as a result.
Tier 1 — For this role, the expectation is that you are an AI-Native. You build with AI directly, shipping, automating, or prototyping real work with LLMs and agents, and have clear judgment on where humans must stay in the loop. (this is typically aligned to engineering, data, product, ops automation, RevOps)
You build with AI, not just alongside it. You've shipped, automated, or prototyped something real using LLMs, agents, or AI tooling.
You can explain a workflow you redesigned so a machine does the boring 80%.
You have a view on where agentic systems help and where a human must stay in the loop, especially in regulated, PHI-adjacent work.
Assessment: a practical exercise where you use AI tools live or in a take-home.
We're building something that matters. Every scan we speed up is a real person waiting on an answer, and that urgency runs through everything we do. We move fast, we own outcomes, and take pride in our output. If you like ambiguity, working with ambitious people, and want your work to visibly move the needle, you'll feel at home here. For you to be successful at Scan.com you must embody our values.
Always Play Offense
If we're not growing, we're dying. Everyone needs a bias for action. Speed and momentum, combined with quality execution, propel our business forward.
You don't quit on hard problems. Fail fast, dust off, go again.
You celebrate wins, then seek the next opportunity.
You see it, you fix it. No task is beneath you, at any level.
Build with the Best
The company we build is the team we build. If we don't have the right people in the right seats, doing the right things, we will fail.
Talent recognizes talent. You actively bring quality hires into the business.
You trust your colleagues to deliver.
You open-source your knowledge. You're never a single point of failure.
Care Deeply, Challenge Directly
Care enough to have the hard conversations, and don't dwell on them. Don't go up the chain to communicate. Go straight to the person.
Strong opinions, weakly held. You welcome challenge and feedback.
You get to the point: direct challenge plus an alternative solution.
You ask "why". Before calling something bad, understand why it exists.
Embrace Growth, Be Curious
Push the limits of your understanding and potential, and you will be supported to get better.
You proactively seek feedback, whatever your level.
You invest in understanding our business: teams, customers, processes.
You invest in your own growth and are willing to unlearn.
We're a high-performing team with low ego. We hire people who are brilliant and kind, who give it straight, back it up with evidence, and change their mind when the facts change. We'll give you real ownership early, the tools to do your best work, and colleagues who raise your game. In return, we ask for high standards, genuine care for patients and each other, and the drive to leave things better than you found them. If that sounds like you, let’s talk!
We keep our interview process short and sweet, and we're a nimble team that can progress at pace. Here are the stages you can expect, but we might switch up the order of each step depending on team availability:
Introductory call/interview with our Senior Talent Partner. The call is via telephone and will last around 30 minutes.
Should it feel like there is an initial fit for all, we will invite you to a video call with the hiring manager for around 45 minutes. This is a more structured interview that will deep-dive into the role and technical needs.
'Scan Standard' interview, where our panel screens for values alignment and the success factors that matter at Scan.com. You will also be assessed on your AI fluency at the stage and depth relevant to your role (see AI Requirements above).
Meet the founders and/or other team members. Again, length varies depending on how many people and whether in person or via video call.
Offer!
We go beyond the basics with our benefits package. We believe great work starts with supporting our people. Here's what you can expect from us:
Salary range of $140,000 - $160,000
Flexible remote or hybrid work options
Dedicated personal development budget
Medical, vision, and dental coverage
28+ days of paid time off across PTO and wellbeing days, so you can show up at your best
Paid parental leave
401k retirement plan
All the equipment you need to do your best work
Inclusive, people-first policies designed by our team, for our team
Scan.com is committed to eliminating discrimination and encouraging diversity within our team. We strive to provide equality and fairness for all job applicants and employees and never discriminate on the basis of gender, marital status, age, race, ethnicity, religion, or physical differences.
We are opposed to all forms of unlawful treatment and discrimination.
Our ambition is for our team to be representative of society's diversity, and for every employee to feel respected and able to bring their best selves to work.
If you need an accommodation to apply or interview, contact us at people@scan.com.
We look forward to receiving your application!