AWS Principal Data Engineer

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 AWS Principal Data Engineer is a senior, hands-on technical leader and principal individual contributor responsible for designing, building and evolving scalable, reusable AWS data platform solutions. In this role, you will transform governed data into trusted, production-ready data products that power clinical insights, commercial analytics and AI-driven innovation.

Operating at the intersection of architecture, engineering execution and governance automation, you will shape how data flows from source systems through ingestion, transformation, quality enforcement and semantic enrichment.

You will partner 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 rather than a collection of siloed solutions.

As a principal-level individual contributor, you will establish technical direction, define reusable patterns and influence engineering standards across teams through expertise, architecture leadership and mentorship.

Work model, sponsorship, relocation

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 position with an anticipated duration of 24 months from the employee’s start date. Based on business needs and individual performance, there may be an opportunity for this role to be considered for regular full-time employment in the future.

Your Responsibilities Will Include

• Design reusable AWS data platform architectures and lead the implementation and migration of complex data pipelines supporting governed ingestion, batch, streaming, change data capture (CDC), event-driven processing and data product delivery, ensuring validated cutovers and stage-gated reconciliation.
• Translate governance requirements into automated platform capabilities, including data contracts, schema validation, data quality controls, lineage capture, metadata management and access enforcement.
• Build and maintain infrastructure-as-code modules, CI/CD templates and Terraform-based provisioning frameworks that enable scalable, secure and governed platform deployment.
• Architect and implement platform capabilities for security, observability, resiliency and cost management, including encryption, identity and access management (IAM), telemetry, service-level objectives (SLOs) and cost attribution.
• Design governed lakehouse and data product patterns using AWS-native services and open table formats, including Apache Iceberg, to support scalable analytics, AI workloads and enterprise data products.
• Evaluate emerging technologies, document architectural decisions and establish engineering standards that advance platform maturity, scalability and operational excellence.
• Provide technical leadership through architecture reviews, reference designs and mentoring, enabling engineering teams to adopt best practices and deliver predictable, high-quality solutions.

Required Qualifications

• Bachelor's degree in computer science, data engineering, information systems or a related technical field.
• Minimum of 13 years' experience in data engineering, including a minimum of 6 years' experience designing and delivering cloud-native data platforms in AWS.
• Minimum of 4 years' experience building scalable data platform solutions, including infrastructure-as-code, CI/CD, data integration (batch, streaming and CDC) and governance automation such as data contracts, quality controls, lineage and access management.
• Demonstrated expertise with AWS data services, including S3, Glue, Athena, Lambda, MSK, Kinesis, DynamoDB, RDS, Redshift, EMR, Step Functions, DMS, ECS, Lake Formation and DataZone.
• Production-level experience with Snowflake.
• Strong programming and platform engineering expertise using Python, Terraform, Bash and distributed data processing frameworks such as Spark and Flink.
• Experience with advanced data architecture and modeling concepts, including knowledge graphs, ontologies, semantic layers and GenAI-enabled data solutions.
• Demonstrated ability to serve as a principal-level technical leader by establishing standards, influencing architectural direction and driving adoption across multiple engineering teams.
• Ability to travel up to 10%.

Preferred Qualifications

• Master's degree in computer science, data engineering or a related technical field.
• Knowledge of modern lakehouse and data governance technologies, including Alation, Atlan, DataHub, Informatica or Databricks.
• Experience supporting AI/ML platforms, including governed analytical workspaces and model lifecycle management.
• Familiarity with regulated industries such as medical devices, healthcare or life sciences.

Requisition ID: 630230

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 www.bscbenefitsconnect.com—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 www.bostonscientific.com and follow us on LinkedIn.

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.