Senior Data Engineer at Heartflow

<div class="content-intro"><p>Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFR_CT&nbsp;Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFR_CT&nbsp;Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis).&nbsp;Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.</p> <p>Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.&nbsp;&nbsp;</p></div><p>We are seeking a proactive, self-starting Senior Data Engineer to architect and scale our data infrastructure, with a specific focus on <strong>HRIS</strong>, <strong>Market Research</strong> and <strong>Revenue Cycle</strong> pipelines, reporting and governance. In this role, you will move beyond simple ETL to building robust, observable data products using <strong>Dagster</strong> and <strong>Cube </strong>while ensuring data governance practices and catalog management are consistently maintained. You will act as a technical lead, balancing high-level AWS infrastructure management (ECS, Redshift, Athena) with the mentorship of junior team members to foster a culture of engineering excellence</p> <p><u>Job Responsibilities</u>:</p> <ul> <li><strong>Orchestration &amp; Automation:</strong> Build and manage complex data pipelines utilizing the <strong>Dagster</strong> framework, leveraging <strong>AWS ECS</strong> for containerized task execution.</li> <li><strong>Revenue Cycle Expertise:</strong> Design and maintain specialized pipelines and reports for Revenue Cycle Management, ensuring high accuracy for financial data processing.</li> <li><strong>Semantic Layer &amp; BI:</strong> Support the development of a unified semantic model in <strong>Cube (Cube.js)</strong> to provide consistent metrics across the organization.</li> <li><strong>Modern Data Stack Management:</strong> Manage and optimize high-performance data storage and query layers using <strong>Iceberg</strong>, <strong>Amazon Redshift</strong> and <strong>Athena</strong>.</li> <li><strong>Mentorship &amp; Governance:</strong> Lead data governance initiatives and provide technical mentorship to junior engineers, ensuring adherence to Python and SQL best practices.</li> </ul> <p><u>Skills Needed</u>:</p> <ul> <li><strong>Languages &amp; Libraries:</strong> Expert proficiency in <strong>Python</strong> (specifically pyiceberg, boto3, polars, and pandas), <strong>SQL</strong>, <strong>DBT,</strong> and <strong>YAML</strong>.</li> <li><strong>AWS Ecosystem:</strong> Deep hands-on experience with <strong>ECS</strong> (Fargate/EC2), <strong>Redshift</strong> (clustering and optimization), and <strong>Athena</strong> (serverless querying).</li> <li><strong>Pipeline Concepts:</strong> Mastery of <strong>Dagster</strong> data pipeline concepts, including Software-Defined Assets and declarative orchestration.</li> <li><strong>Modeling:</strong> Strong experience in <strong>Cube Dev</strong> semantic modeling and building reporting layers for complex financial workflows.</li> <li><strong>Domain Knowledge:</strong> Proven track record in developing <strong>Revenue Cycle</strong> pipelines and financial reporting systems.</li> <li><strong>Reporting Solution:</strong> Experience building and supporting Tableau datasets and reports.</li> </ul> <p><u>Educational Requirements &amp; Work Experience:</u>&nbsp;</p> <ul> <li><strong>Education:</strong> B.S. or M.S. in Computer Science, Data Engineering, or a related field.</li> <li><strong>Experience:</strong> 5+ years of Data Engineering experience, with significant time spent in AWS environments and a strong background in RCM/Financial data. 3+ years with M.S.&nbsp;</li> <li><strong>Leadership:</strong> Demonstrated ability as a self-starter with experience mentoring peers and leading technical projects.</li> </ul> <p><strong>24/7 Support:</strong> On-call support for 24/7 critical business processes.</p> <p><strong>Stakeholder Engagement: </strong>Work closely with stakeholders from requirements gathering to training and ongoing support.</p> <p><span style="font-size: 10pt; font-family: arial, helvetica, sans-serif; color: black;"><span style="font-weight: 400;"><em data-stringify-type="italic">A reasonable estimate of the base salary compensation range</em> is $140,000 to $170,000 per year, and bonus. #LI-IB1</span></span></p><div class="content-conclusion"><div>Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.</div> <div>&nbsp;</div> <div>Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.</div> <div>&nbsp;</div> <div>Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at&nbsp;<a href="https://www.heartflow.com/about/careers/">www.heartflow.com/about/careers/</a>.&nbsp;</div></div>