Explore 2 python aws developer jobs from 1 hiring companies in Lakeport, CA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-aws-developer

Python Aws Developer

Clearlake

Ukiah

North Lakeport

Cloverdale

Kelseyville

Santa Rosa

Windsor

Healdsburg

Lucerne

Nice

Rohnert Park

Clear Lake Riviera

Larkfield-Wikiup

Hidden Valley Lake

Sebastopol

Clearlake Oaks

Calistoga

Willits

Saint Helena

Python Aws Developer Jobs

HeartFlow

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.

Python Aws Developer Jobs in Lakeport, CA, US | HiringCafe: every job on earth

Python Aws Developer Jobs in Lakeport, CA, US

Python Aws Developer Jobs market signals in Lakeport, CA, US

Companies appearing in this market

Work location mix in visible results