Data Engineer II

Were . Were building Americas 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.

Data at is a full-stack discipline. We dont have analysts who hand off to engineers to build the model or engineers who hand off to analysts to build the dashboard. 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 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 monitoring for anomalies and ensuring that the numbers stakeholders see are trustworthy

• Contribute to the teams 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.

• 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 its 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 dont need to tick all the boxes to apply for this role. Whether its 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 dont 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 dont 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

We keep our interview process short and sweet and were a nimble team that can progress at pace. Here are the stages you can expect but we might switch up the order depending on team availability:

• Introductory call with our Senior Talent Partner approximately 30 minutes by phone.

• Video call with the hiring manager approximately 45 minutes structured deep-dive into the role and technical domain.

• Assessment stage may be a take-home exercise in-person session or additional video calls. Were mindful of your time.

• Meet the founders and/or other team members.

• Offer!

We go beyond the basics with our benefits package. Heres what you can expect from us:

• Competitive salary range plus performance bonus and equity

• 401k

• Healthcare Vision and Dental

• All equipment needed to do your role effectively

• Flexible and remote/hybrid working options

• Personal development budgets

• 18 days PTO plus public holidays

• 10 paid sick days

• Inclusive policies designed by our team for our team

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 the diversity in society 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 .

We look forward to receiving your application!

Required Experience:

IC