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Python Data Engineer Jobs

Keysight Technologies

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.

Semiconductor Fab Industrial Engineer

Industrial Engineer

Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or Industrial & Systems Engineering; 3+ years in industrial engineering or manufacturing analytics; strong analytical skills; experience with ERP/MES and data analytics tools.

Overview:
<a href="https://www.keysight.com/us/en/about.html" target="_blank" style="color: #e90029;" rel="noopener">Keysight</a> is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more <a href="https://www.youtube.com/watch?v=ykxkSz5DlPo&t=16s" target="_blank" style="color: #e90029;" rel="noopener">about what we do.</a> Our <a href="https://jobs.keysight.com/awards" target="_blank" rel="noopener">award-winning</a> culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities:
The High Frequency Technology Center (HFTC) is seeking an R&D Process Engineering Technician to develop, maintain and optimize manufacturing processes to fabricate passive interposer substrates for Keysight’s Heterogeneous Integration technology. This position is onsite at Keysight Headquarters in Santa Rosa, CA. Live in beautiful Sonoma County amongst vineyards, redwood forests, rivers, lakes and coastline while working on state-of-the-art advanced packaging technologies.The Process Technician will assist with process development and process control to meet quality and production metrics. Responsibilities include a combination of R&D and manufacturing in partnership with Design, Integration, Test, Operations, Maintenance, Product and Failure Analysis teams. The Process Technician works closely with the Process Engineer to deliver on yield, cycle time, throughput, and quality targets for their process. This role involves technical depth in semiconductor processing, sound judgement to make some decisions autonomously, strong hands-on aptitude, as well as effective communication and teamwork to meet department-level objectives.  ResponsibilitiesProcess Engineering Technicians at HFTC are responsible for process development and sustaining of custom, cutting-edge, micro and nano-fabrication technologies. Strong technical contribution and high levels of autonomy are expected. Responsibilities include but are not limited to:<ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">Develop and maintain wet chemical processes including solvent cleans, acid/base etches, electroplating, and wafer planarization</li><li style="margin-bottom: 0in;">Adhere to safe chemical‑handling practices</li><li style="margin-bottom: 0in;">Conduct engineering experiments and contribute to designing the experiments</li><li style="margin-bottom: 0in;">Review metrology results (thickness, uniformity, surface defects), determine course of action and guide production staff</li><li style="margin-bottom: 0in;">Support chemical sequences, etch‑rate characterization, surface conditioning, and tool qualification</li><li style="margin-bottom: 0in;">Understand and interpret engineering data and experimental results</li><li style="margin-bottom: 0in;">Understand process flow, verify recipes, and transact jobs in MES</li><li style="margin-bottom: 0in;">Communicate clearly with other shifts regarding tool and process status</li><li style="margin-bottom: 0in;">Train operators and engineers and collaborate cross‑functionally (process, equipment, integration, test, etc.)</li><li style="margin-bottom: 0in;">Generate, track, and report technical data to engineering and management</li><li style="margin-bottom: 0in;">Leverage Python, Excel macros, and SQL for automated data review and monitoring</li><li style="margin-bottom: 0in;">Partner with Engineering and Operations to implement robust process control and support production processes; diagnose and resolve process problems with urgency</li><li style="margin-bottom: 0in;">Supporting capital equipment acquisition projects that include tool evaluation, characterization, process development, and qualification</li></ul>

Qualifications:
 Qualifications<ul style="margin-top: 0in;"><li style="margin-bottom: 0in;">High school graduate with strong aptitude in science and math. Associate’s or bachelor’s degree in STEM field is highly preferred</li><li style="margin-bottom: 0in;">Relevant experience in a cleanroom or high-tech production floor</li><li style="margin-bottom: 0in;">Hands-on experience with advanced technologies and specific skills in wet chemical processes including solvent cleans, acid/base etches, and safe chemical‑handling practices</li><li style="margin-bottom: 0in;">Strong background in wafer cleaning workflows, defect mechanisms, contamination control, and surface condition behavior across chemical and mechanical processes</li><li style="margin-bottom: 0in;">Fluent using computers, Microsoft Office, and other common software tools</li><li style="margin-bottom: 0in;">Experience with statistical process control (SPC) and design of experiments (DOE) is advantageous</li><li style="margin-bottom: 0in;">Candidates must have strong problem-solving and analytical skills as well as excellent interpersonal and communication skills for cross-functional interactions</li><li style="margin-bottom: 0in;">Strong accountability, self-initiative and proactive attitude are required for success.</li></ul>Candidates must be local or willing to relocate to Santa Rosa, CA   This position requires access to certain goods, software, technology, or technical data subject to U.S. export control laws and regulations. Under these laws and regulations, U.S. persons (which includes U.S. citizens, U.S. nationals, lawful permanent residents, refugees, and asylees) working for Keysight can access export-controlled items without authorization from the U.S. government. For any individual who is not a U.S. person, Keysight may need authorization from the U.S. Department of State, U.S. Department of Commerce, or other appropriate federal agency before the individual can access export-controlled items. Employment in this position for non-U.S. persons is contingent on Keysight’s ability to obtain any required government authorizations.  <a href="https://about.keysight.com/en/jobs/careers_privacy_statement.pdf" target="_blank" rel="noopener">Careers Privacy Statement</a>  Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.  The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below. California Pay Range: USD $72,140.00 - USD $120,230.00 Year Note: For other locations, pay ranges will vary by region This role is eligible for Keysight Results Bonus Program US Employees may be eligible for the following benefits:<ul><li>Medical, dental and vision</li><li>Health Savings Account</li><li>Health Care and Dependent Care Flexible Spending Accounts</li><li>Life, Accident, Disability insurance</li><li>Business Travel Accident and Business Travel Health</li><li>401(k) Plan</li><li>Flexible Time Off, Paid Holidays</li><li>Paid Family Leave</li><li>Discounts, Perks</li><li>Tuition Reimbursement</li><li>Adoption Assistance</li><li>ESPP (Employee Stock Purchase Plan)</li><li>Restricted Stock Units</li></ul>    #LI-MED1

R&D Process Engineering Technician – Wafer Fab

R&D Process Engineering Technician

Experience with wet chemical processes, cleanroom environment, data analysis; DOE/SPC advantageous; strong problem solving and communication; local or willing to relocate to Santa Rosa, CA.

Overview <a href="https://www.keysight.com/us/en/about.html" target="_blank" style="color: #e90029;" rel="noopener">Keysight</a> is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more <a href="https://www.youtube.com/watch?v=ykxkSz5DlPo&t=16s" target="_blank" style="color: #e90029;" rel="noopener">about what we do.</a> Our <a href="https://jobs.keysight.com/awards" target="_blank" rel="noopener">award-winning</a> culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities We are seeking an entry-level NPI Software & Test Process Engineer to support transitioning new electronic products into production by developing and improving software-driven test systems and manufacturing workflows. The role partners with hardware NPI, manufacturing, quality, and supply chain teams to create reliable, automated test processes and modernize test/workflow software using AI and automation. Key responsibilities:<ul><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Develop, validate, and maintain production test software and automated test sequences for prototype and pre-production units.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Design and implement test frameworks, data collection/logging, and test result analysis tools to support high-volume manufacturing.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Create and update automated workflows and test applications (e.g., C#, Python, OpenTap, or other test frameworks).</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Support integration of automated test equipment (ATE) and test fixtures; troubleshoot hardware-software interactions.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Implement workflow modernization initiatives leveraging AI/ML for anomaly detection, predictive maintenance, test optimization, and data-driven yield improvements.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Automate repetitive NPI tasks (build reports, data aggregation, regression testing) and integrate systems with PLM/MES/ERP where appropriate.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Participate in Design for Testability (DFT) and software requirements reviews; propose improvements to reduce test time and increase coverage.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Perform root-cause analysis of test failures and work with cross-functional teams to implement corrective actions.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Produce clear technical documentation: test procedures, software release notes, and validation reports.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Track NPI metrics, report project status, and support continuous improvement efforts.</li></ul>  Qualifications Required:<ul><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Bachelor’s degree in Computer Science, Electrical Engineering, Software Engineering, or related field.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Internship/co-op or project experience developing test software, automation scripts, or test frameworks.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Proficiency in at least one programming language used for test automation (Python strongly preferred; OpenTap, C#, or similar acceptable).</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Familiarity with test equipment (multimeters, oscilloscopes, power supplies) and ATE concepts.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Basic understanding of electronics and PCB-level testing.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Experience with data collection, logging, and basic data analysis (pandas, NumPy, or similar).</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Strong problem-solving skills and experience with debugging software/hardware integration issues.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Good communication and teamwork skills; ability to work in lab/production environments.</li></ul>Preferred:<ul><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Experience applying AI/ML methods for anomaly detection, predictive maintenance, or yield optimization (e.g., scikit-learn, TensorFlow, PyTorch).</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Experience with workflow automation tools or RPA platforms and integrating software with MES/PLM/ERP systems.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Familiarity with test frameworks (pytest, Robot Framework) and test equipment APIs (IVI, VISA).</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Knowledge of version control (Git), CI/CD practices, and automated testing pipelines.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Understanding of manufacturing processes (SMT, ICT, functional test) and quality systems (ISO9001, Six Sigma basics).</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Experience with time-series data analysis, dashboards (Grafana, Power BI), and telemetry pipelines.</li><li style="font-size: 12pt; font-family: Aptos, sans-serif;">Prior exposure to scripting for instrument control (PyVISA, nidaqmx) or ATE</li></ul>Santa Rosa, CA: MIN $123,000.00 - MAX $148,000.00 Most offers will be between the minimum and the midpoint of the Salary Range listed above.    Note: For other locations, pay ranges will vary by region  US Employees may be eligible for the following benefits:<ul style="list-style-type: initial;"><li>Medical, dental and vision</li><li>Health Savings Account</li><li>Health Care and Dependent Care Flexible Spending Accounts</li><li>Life, Accident, Disability insurance</li><li>Business Travel Accident and Business Travel Health</li><li>401(k) Plan</li><li>Flexible Time Off, Paid Holidays</li><li>Paid Family Leave</li><li>Discounts, Perks</li><li>Tuition Reimbursement</li><li>Adoption Assistance</li><li>ESPP (Employee Stock Purchase Plan)</li></ul><a style="color: #ff0000;" href="https://about.keysight.com/en/jobs/careers_privacy_statement.pdf" target="_blank" rel="noopener">Careers Privacy Statement</a>***Keysight is an Equal Opportunity Employer.***

R&D Test Software Engineer

Bachelor’s in CS/EE, internship/project in test software, Python (preferred), OpenTap/C#/similar acceptable, test equipment familiarity, electronics basics, data analysis (pandas/NumPy), strong problem solving and communication.

Expert Software Engineer — Rapid System Prototyping & Integration

Expert Software Engineer

BS/MS/PhD in CS/EE/CE; 8+ years system integration and software/firmware development; strong C++ and embedded Linux; experience with high-speed data streaming, Ethernet, PCIe, and FPGA/IP integration.

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