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Python Aws Developer Jobs

HeartFlow

Amy's Kitchen

Onsite

<div class="content-intro">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 FFRCT&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 (FFRCT&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.
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;</div>We are seeking a proactive, self-starting Senior Data Engineer to architect and scale our data infrastructure, with a specific focus on HRIS, Market Research and Revenue Cycle pipelines, reporting and governance. In this role, you will move beyond simple ETL to building robust, observable data products using Dagster and Cube 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
Job Responsibilities:
<ul>
<li>Orchestration &amp; Automation: Build and manage complex data pipelines utilizing the Dagster framework, leveraging AWS ECS for containerized task execution.</li>
<li>Revenue Cycle Expertise: Design and maintain specialized pipelines and reports for Revenue Cycle Management, ensuring high accuracy for financial data processing.</li>
<li>Semantic Layer &amp; BI: Support the development of a unified semantic model in Cube (Cube.js) to provide consistent metrics across the organization.</li>
<li>Modern Data Stack Management: Manage and optimize high-performance data storage and query layers using Iceberg, Amazon Redshift and Athena.</li>
<li>Mentorship &amp; Governance: Lead data governance initiatives and provide technical mentorship to junior engineers, ensuring adherence to Python and SQL best practices.</li>
</ul>
Skills Needed:
<ul>
<li>Languages &amp; Libraries: Expert proficiency in Python (specifically pyiceberg, boto3, polars, and pandas), SQL, DBT, and YAML.</li>
<li>AWS Ecosystem: Deep hands-on experience with ECS (Fargate/EC2), Redshift (clustering and optimization), and Athena (serverless querying).</li>
<li>Pipeline Concepts: Mastery of Dagster data pipeline concepts, including Software-Defined Assets and declarative orchestration.</li>
<li>Modeling: Strong experience in Cube Dev semantic modeling and building reporting layers for complex financial workflows.</li>
<li>Domain Knowledge: Proven track record in developing Revenue Cycle pipelines and financial reporting systems.</li>
<li>Reporting Solution: Experience building and supporting Tableau datasets and reports.</li>
</ul>
Educational Requirements &amp; Work Experience:&nbsp;
<ul>
<li>Education: B.S. or M.S. in Computer Science, Data Engineering, or a related field.</li>
<li>Experience: 5+ years of Data Engineering experience, with significant time spent in AWS environments and a strong background in RCM/Financial data.</li>
<li>Leadership: Demonstrated ability as a self-starter with experience mentoring peers and leading technical projects.</li>
</ul>
A reasonable estimate of the base salary compensation range is $110,000 to $150,000 per year, and bonus. #LI-IB1<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>

Senior Data Engineer 

5+ years of Data Engineering in AWS with RCM/Financial data; Python, SQL, Dagster, Cube.js, DBT, YAML; experience with Redshift, Athena; Tableau datasets/reports.

<div class="content-intro">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 FFRCT&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 (FFRCT&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.
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;</div>Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease using cutting-edge technology. As we continue to revolutionize precision heartcare through our AI-driven integrated heart care solutions , we are seeking a proactive, self-starting Senior Data Engineer - AI Empowerment. This role is focused on architecting the infrastructure necessary to empower business processes with AI, specifically leveraging the power of our data lake to fuel advanced models.
Role Overview
In this role, you will move beyond simple ETL to building robust, observable data products that serve as the foundation for AI enablement. You will architect data pipelines that integrate with Google Vertex AI and Claude to automate complex business workflows. You will act as a technical lead, balancing high-level AWS infrastructure management with the mission of making our data lake assets "AI-ready" for the entire organization.
Job Responsibilities
<ul>
<li>AI Pipeline Orchestration: Build and manage complex data pipelines utilizing the Dagster framework to orchestrate data flows into Google Vertex AI for model training and deployment.</li>
<li>Stakeholder Engagement: Work closely with stakeholders from requirements gathering to training and ongoing support</li>
<li>LLM Integration: Design and maintain specialized pipelines that leverage Claude to automate business processes, ensuring high accuracy and context-aware outputs from our data lake.</li>
<li>AI-Driven Business Enablement: Enable departments to leverage AI-powered insights by providing clean, governed, and structured data sets optimized for LLM consumption.</li>
<li>Semantic Layer &amp; BI: Support a unified semantic model in Cube (Cube.js) to provide consistent metrics that fuel both AI agents and human-centric dashboards.</li>
<li>Modern Data Stack Management: Manage and optimize high-performance storage and query layers using Iceberg, Amazon Redshift, and Athena to support the data-intensive needs of AI applications.</li>
<li>Mentorship &amp; Governance: Lead data governance initiatives to ensure "AI-readiness" and provide technical mentorship to junior engineers on best practices for AI-centric data engineering.</li>
<li>24/7 Support: On-call support for 24/7 critical business processes</li>
</ul>
Skills Needed
<ul>
<li>Languages &amp; Libraries: Expert proficiency in Python (specifically pyiceberg, boto3, polars, and pandas) and SQL.</li>
<li>AI Platforms: Hands-on experience integrating data pipelines with Google Vertex AI and utilizing Claude for natural language processing tasks.</li>
<li>AWS Ecosystem: Deep hands-on experience with ECS (Fargate/EC2), Redshift, and Athena.</li>
<li>Pipeline Concepts: Mastery of Dagster data pipeline concepts, including Software-Defined Assets and declarative orchestration.</li>
<li>Modeling: Strong experience in Cube Dev semantic modeling and building reporting layers for complex business workflows.</li>
<li>Domain Knowledge: Proven track record in developing data systems that enable AI/ML capabilities or advanced business process automation.</li>
</ul>
Educational Requirements &amp; Work Experience
<ul>
<li>Education: B.S. or M.S. in Computer Science, Data Engineering, or a related field.</li>
<li>Experience: 5+ years of Data Engineering experience, with significant time spent in AWS environments and a background in enabling AI/ML workflows.</li>
<li>Leadership: Demonstrated ability as a self-starter with experience mentoring peers and leading technical projects.</li>
</ul>
A reasonable estimate of the base salary compensation range is $160,000 to $200,000 per year, and bonus. #LI-IB1<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>

Senior Data Engineer - AI Empowerment

5+ years data engineering; AWS experience; AI/ML workflow experience; strong Python and SQL; Dagster, Vertex AI, Claude; Redshift, Athena.

SUMMARY 
The Senior Platform Engineer designs, builds, modernizes, and operates the enterprise compute, virtualization, storage, and backup platform across plants, data center, offices, cloud environments, and remote users. This role owns the compute and resilience platform end to end, including architecture, automation, capacity management, disaster recovery, and operational performance. 
The position emphasizes Infrastructure as Code, automation first practices, AI-enabled operations, disaster recovery readiness and reduction of technical debt to deliver resilient, scalable, and secure compute services aligned to enterprise strategy. 
The full salary range for this position is $111,200 – $166,800. However, our current budget for a new hire is $111,200 – $150,000, depending on the candidate's specific experience and skills.
ESSENTIAL DUTIES AND RESPONSIBILITIES may include the following. Other duties may be assigned.
PLATFORM OWNERSHIP
<ul>
<li>Own the enterprise compute, virtualization, storage, and backup platforms across plants, warehouses, offices, cloud, and remote environments</li>
<li>Design for high availability, fault tolerance, scalability, and rapid recovery</li>
<li>Ensure platform reliability supports manufacturing uptime, enterprise operations, and business continuity</li>
<li>Serve as technical authority for compute architecture, virtualization standards, storage design, and resilience strategy</li>
<li>Drive modernization, standardization, and lifecycle management of servers, hypervisors, storage arrays, and backup platforms</li>
<li>Reduce technical debt and eliminate configuration drift</li>
<li>Act as a technical mentor and escalation point within the platform domain</li>
</ul>
ARCHITECTURE AND ENGINEERING
<ul>
<li>Design and implement resilient, secure, and scalable compute, virtualization, and storage architectures</li>
<li>Define and maintain standards, reference designs, and best practices for server builds, cluster design, hypervisor configuration, and storage layout</li>
<li>Lead platform upgrades, hypervisor migrations, storage refreshes, and modernization initiatives</li>
<li>Ensure integration with adjacent platforms such as network, security, cloud, identity, data, and applications</li>
<li>Support hybrid environments spanning on-premises infrastructure, cloud compute platforms (Azure AWS), and SaaS workloads</li>
<li>Design and maintain high-availability clusters and disaster recovery configurations  </li>
</ul>
INFRASTRUCTURE AS CODE
<ul>
<li>Define compute and infrastructure configurations using code, templates, or structured configuration management tools</li>
<li>Establish version-controlled configurations as the system of record or server builds, hypervisor configurations, and storage policies  </li>
<li>Enable repeatable, low-risk changes through standardized deployment models</li>
<li>Reduce manual changes and operational inconsistencies</li>
<li>Contribute to CI/CD practices for infrastructure or platform changes</li>
<li>Maintain version-controlled repositories as the authoritative source of platform configuration</li>
</ul>
AUTOMATION & OPERATIONAL EXCELLENCE
<ul>
<li>Automate server provisioning, patching, lifecycle management, validation, recovery, and compliance validation</li>
<li>Reduce manual operational effort through scripting and workflow automation</li>
<li>Partner with MSPs to ensure consistent execution of backup, recovery, and infrastructure runbooks</li>
<li>Improve monitoring signal quality across compute, storage, and virtualization layers</li>
<li>Design self-healing or auto-remediation capabilities where appropriate</li>
<li>Continuously optimize resource utilization, performance, and capacity planning  </li>
</ul>
RESILIENCY & SECURITY FOUNDATIONS
<ul>
<li>Ensure compute platform resilience, redundancy, backup, and disaster recovery alignment</li>
<li>
Own backup, recovery, and disaster recovery design and testing processes
</li>
<li>
Maintain documented recovery procedures and conduct periodic DR exercises
</li>
<li>Partner with Security teams to maintain compliance, segmentation, access controls, and monitoring standards</li>
<li>Support enterprise risk management initiatives related to infrastructure stability, ransomware protection, and business continuity</li>
</ul>
AI-ENABLED OPERATIONS
<ul>
<li>Leverage AI-driven monitoring and analytics to detect anomalies and performance risks</li>
<li>Support predictive insights related to compute utilization, storage growth and failure trends</li>
<li>Contribute to AI-assisted incident investigation and root cause analysis where tooling supports it</li>
<li>Identify opportunities to reduce alert fatigue and improve operational insight using intelligent tooling</li>
</ul>
COLLABORATION & ENABLEMENT
<ul>
<li>Partner closely with the business and other IT teams</li>
<li>Provide clear architecture diagrams, standards documentation, and operational runbooks</li>
<li>Participate in Tier-2 or Tier-3 escalation and on-call rotations within the platform domain</li>
<li>Act as secondary or tertiary responder for critical enterprise outages</li>
<li>Support cross-functional initiatives tied to modernization and transformation</li>
</ul>
SUPERVISORY RESPONSIBILITIES 
This position has no supervisory responsibilities, but acts in a lead capacity to other department staff.
QUALIFICATIONS 
EDUCATION/EXPERIENCE 
<ul>
<li>Bachelor’s degree in a related field or equivalent practical experience</li>
<li>8+ years of progressive experience in infrastructure or platform engineering, including at least 5 years in a senior-level role within a defined technology domain</li>
</ul>
SKILLS
<ul>
<li>Senior-level hands-on experience designing and operating enterprise technology platforms in multi-site and hybrid environments</li>
<li>Strong understanding of high availability, resiliency, and enterprise architecture principles</li>
<li>Experience with Infrastructure as Code, configuration management, or templated infrastructure practices</li>
<li>Advanced automation and scripting experience, such as PowerShell, Python, Terraform, Ansible, or similar</li>
<li>Experience with monitoring, logging, telemetry, and AIOps or AI-assisted monitoring platforms</li>
<li>Strong understanding of security principles, access controls, and compliance considerations</li>
<li>Experience supporting hybrid environments integrating on-premise infrastructure, cloud platforms, and SaaS services</li>
<li>Ability to operate production systems with strict uptime and reliability requirements</li>
<li>Experience documenting architecture, standards, and operational procedures</li>
<li>Familiarity with AI-assisted monitoring or analytics platforms that improve operational effectiveness</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience supporting manufacturing or operational technology environments</li>
<li>Experience working with MSPs providing NOC or SOC services</li>
<li>Familiarity with CI/CD practices for infrastructure</li>
<li>Experience leading modernization or transformation initiative</li>
</ul>
LANGUAGE SKILLS 
<ul>
<li>Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.</li>
<li>Strong written communication skills for architecture documentation, standards, and executive-level summaries.</li>
</ul>
REASONING ABILITY 
Ability to evaluate complex technical environments, synthesize system data, assess risk, and make sound architectural and operational decisions in dynamic or ambiguous situations. Demonstrates strong analytical thinking, structured problem-solving, and the ability to balance business impact with technical considerations.
CERTIFICATES, LICENSES, REGISTRATIONS 
No certifications are required. Relevant industry certifications aligned to the platform domain such as cloud, networking, security, or automation credentials are preferred and may strengthen candidacy.
CONFIDENTIALITY
In the course of performing this role, the Senior IT Platform Engineer may have access to confidential company, employee, operational, and technical information. The employee is expected to safeguard all such information, exercise sound judgment in its handling, and maintain strict confidentiality at all times.
TRAVEL
Travel up to 10% may be required to support corporate headquarters, plants, warehouses, or other business locations.
PHYSICAL DEMANDS 
The physical demands described here represent those required to successfully perform the essential functions of this role. Reasonable accommodations may be made for individuals with disabilities.
This position is primarily office-based and requires prolonged periods of sitting, speaking, and hearing. Occasional standing, walking, reaching, bending, or lifting of equipment up to 50 pounds may be required when supporting infrastructure or on-site technology environments. Close vision and color vision may be necessary for working with hardware and cabling.
WORK ENVIRONMENT 
The work environment is primarily an office or corporate setting, with occasional visits to plant, warehouse, or technical facilities. The role may involve exposure to operational or industrial environments when supporting manufacturing technology. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

Senior IT Platform Engineer, Compute & Resilience

8+ years infra/platform engineering; senior-level in architecture, automation, and resilience; strong IaC, automation, and cloud experience.

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