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Python Cloud Platform Developer

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Python Cloud Platform Developer Jobs

Boston Scientific

Hybrid

Additional Location(s): US-CA-Valencia; US-CA-Santa Clara; US-MN-Arden Hills
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance
At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.           About the role:
Boston Scientific was recognized by Forbes as one of the Best Workplaces for Engineers in 2026, reflecting a culture where engineers do meaningful work.
 
The Azure Principal Data Engineer is a senior, hands-on technical leader responsible for designing, building and evolving scalable, reusable Azure data platform capabilities. In this role, you will transform governed data into trusted, production-ready data products that enable clinical insights, commercial analytics and AI-driven innovation.
 
You will operate at the intersection of architecture, engineering execution and governance automation, shaping how data flows from source systems through ingestion, transformation, quality enforcement and semantic enrichment. This role partners closely with data engineering, platform engineering, security, site reliability engineering (SRE), DevOps and governance teams to deliver a modern data platform that operates as a product — not a collection of one-off solutions.
 
At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.
 
This is a defined-term role with an expected duration of 24 months from the employee’s start date. There is no guarantee of full-time employment beyond the listed duration.  
 
Your responsibilities will include:
<ul style="margin-bottom:0.0in;margin-top:0.0px">
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Design and implement reusable Azure data platform patterns supporting governed ingestion, batch, streaming, CDC and event-driven processing, multi-paradigm storage and data product delivery</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Lead migration of complex data pipelines, including event-driven ingestion, CDC-to-stream processing, dbt transformations and API-based batch loads, ensuring stage-gated reconciliation and validated cutovers</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Translate governance requirements into automated platform capabilities, including data contracts, schema validation, data quality rules, lineage capture, metadata management and access control enforcement</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Build and maintain infrastructure-as-code modules, CI/CD pipeline templates and Terraform-based provisioning frameworks to enable scalable, governed data platform deployment</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Architect platform capabilities for security, observability, resiliency and cost management, including encryption, identity and access management, telemetry, SLOs and cost attribution</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Enable semantic data modeling by contributing to ontology-backed data layers and knowledge graph integration, supporting consistent definitions and GenAI-ready data foundations</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Evaluate and recommend platform technologies, document architectural decisions and establish engineering standards to elevate data platform maturity</li>
<li style="margin:0.0in 0.0in 8.0pt 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Mentor and coach engineers, promoting best practices and strengthening engineering capabilities across the organization</li>
</ul>
 
Required qualifications:
<ul style="margin-bottom:0.0in;margin-top:0.0px">
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Minimum of 13 years' experience in data engineering, with a minimum of 6 years' experience designing and delivering cloud-native data platforms in Azure or comparable environments</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Minimum of 4 years' experience building scalable data platform capabilities, including infrastructure-as-code, CI/CD, data integration (batch, streaming, CDC) and governance automation (data contracts, quality, lineage and access control)</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Demonstrated experience with Azure data services, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Microsoft Purview, Azure Event Hubs, Azure Functions and Azure Key Vault </li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Strong programming and platform engineering experience using Python, Terraform or distributed data processing frameworks such as Spark and Kafka</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience with data modeling techniques, including dimensional modeling and Data Vault</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Bachelor’s degree in computer science, data engineering, information systems or a related technical field</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience working with regulated or sensitive data environments</li>
<li style="margin:0.0in 0.0in 8.0pt 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Ability to travel up to 10% for workshops, migration planning and cross-functional collaboration</li>
</ul>
 
Preferred qualifications:
<ul style="margin-bottom:0.0in;margin-top:0.0px">
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Master’s degree in computer science, data engineering or a related field</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience with modern lakehouse and governance technologies, including Microsoft Fabric, Databricks Unity Catalog or Apache Iceberg</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience with advanced data capabilities, including knowledge graphs, ontology modeling, semantic layer design or GenAI enablement</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience supporting AI/ML platforms, including governed analytical workspaces and model lifecycle management</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Familiarity with regulated industries such as medical devices, healthcare or life sciences</li>
<li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Experience leading or executing cloud data migrations, including AWS-to-Azure transitions and cross-cloud data transfer strategies</li>
<li style="margin:0.0in 0.0in 8.0pt 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Hands-on experience with AWS data services, including S3, RDS, Redshift, Glue, Lambda, Kinesis, DMS, Step Functions and ECS</li>
</ul>
  
Requisition ID: 628046 
Minimum Salary: $ 106800 
Maximum Salary: $ 202900 
 
The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see <a href="https://secure.bscbenefitsconnect.com/index.html">www.bscbenefitsconnect.com—</a>will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.
 
Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
 
Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
 
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
 
Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at <a href="https://c212.net/c/link/?t=0&amp;l=en&amp;o=4007299-1&amp;h=2437349916&amp;u=https%3A%2F%2Fwww.bostonscientific.com%2F&amp;a=www.bostonscientific.com" target="_blank" rel="noreferrer noopener">www.bostonscientific.com</a> and follow us on <a href="https://www.linkedin.com/company/boston-scientific/" target="_blank" rel="noreferrer noopener">LinkedIn</a>.
 
Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.
 
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status.  Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment.  Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements.   As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
 
Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions.  This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement.  The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.

Azure Principal Data Engineer (Valencia, CA, US, 91355)

Azure Principal Data Engineer

13+ years data engineering; 6+ years cloud-native Azure data platforms; 4+ years building scalable data platform capabilities; Azure data services expertise; programming with Python, Terraform; data modeling; regulated data experience; travel up to 10%.

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