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Software Development Engineer II, AWS Data Platform
Job Location:
Job Location:
Seattle, OR - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
17 June 2026 (30+ days ago)
Posted:
Application Deadline:
14 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Department:
Job Summary
Amazon Web Services is seeking an extraordinary Software Development Engineer with Data Engineering background to join the AWS Data Platform team.
Our mission is to democratize access to trusted AWS business data cataloging governing enriching and brokering data through its lifecycle. We manage the core enterprise data infrastructure and curate foundational datasets from across AWS services transforming raw data into actionable information that provides visibility into the state of the AWS business.
We support the full data lifecycle ingestion transformation cataloging governance and consumption at massive scale. We process trillions of events per month using stream processing (Kinesis) billions of line items via distributed compute (EMR and Spark) and store petabytes of data in open table formats (Apache Iceberg) on S3 Tables and Redshift. Our purpose-built tooling handles data ingestion cataloging and discovery governance and self-service query access for internal service owners analysts scientists and AI agents.
We are increasingly leveraging generative AI and semantic layer technologies to make data more discoverable and queryable enabling natural-language access to datasets and AI-powered recommendations that surface actionable intelligence for our data consumers. Because we sit at the nexus of all AWS services we work closely across teams to ensure a great consumer experience. You will have the ability to craft and build AWSs data platform and supporting systems for years to come working at a scale where engineering decisions have meaningful far-reaching impact.
Data Infrastructure: Builds and maintains the infrastructure to answer questions with data using software engineering best practices data management fundamentals data storage principles recent advances in distributed systems and operational excellence best practices. Builds datasets that analysts and scientists use to generate actionable insights.
Key job responsibilities
- Build and maintain data infrastructure using software engineering best practices data management fundamentals data storage principles and operational excellence standards creating datasets that analysts scientists and AI systems use to generate actionable insights.
- Develop automation and tooling that improves the reliability scalability and efficiency of data processing workflows across EMR Spark Redshift and ingestion services.
- Design and implement data storage and compute solutions that balance cost performance and availability using distributed systems principles and open table formats (Hudi/Iceberg) to handle the ever-growing volume of AWS data.
- Own your services end to end: participate in on-call rotations debug production issues and continually reduce operational burden through directed engineering investments fewer SEV2s fewer manual interventions more automation.
- Collaborate with business owners and internal stakeholders to understand data requirements and translate them into scalable low-cost data flows from production systems into the data platform.
- Write design documents participate in architecture reviews and raise the engineering bar through design and code reviews.
A day in the life
Your primary focus is designing and building data infrastructure ingestion pipelines processing workflows and the tooling that keeps them reliable at scale. You will write design documents collaborate with teammates through code and architecture reviews and invest in automation that reduces operational burden over time. You will work with massive datasets at the intersection of all AWS services partnering with data engineers scientists and business intelligence teams who depend on the platform and the data it produces. On-call rotations are shared across the team; when issues arise the expectation is to fix forward resolving the immediate problem and improving the system so it does not recur.
About the team
You will work closely with teammates who jointly own these systems collaborating through design reviews shared on-call and paired problem-solving. You will also partner with cross-functional stakeholders across AWS who produce or consume the data we manage. The team values engineering rigor automation over heroics and continuous improvement. We invest in reducing operational toil so engineers spend their time on meaningful durable work.
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
**Why AWS** Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
**Inclusive Team Culture** Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and we host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
**Mentorship & Career Growth** We have a formal mentor search application that lets you find a mentor that works best for you based on location job family job level etc. Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
**Work/Life Balance** We offer flexibility in working hours and encourage you to find your own balance between your work and personal life. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- 1 years of software development engineer or related occupational experience
- 1 years of designing and developing large-scale multi-tiered multi-threaded embedded or distributed software applications tools systems and services using: C# C Java or Perl experience
- 1 years of Object Oriented Design experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics or a related field
- Experience operating highly available distributed systems of data extraction ingestion and processing of large data sets or experience with data infrastructures: relational analytic DBMS Elastic-Search and Big Data EMR/EC2/Glue/Lambda
- Knowledge of data engineering pipelines cloud solutions ETL management databases visualizations and analytical platforms
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our mission is to democratize access to trusted AWS business data cataloging governing enriching and brokering data through its lifecycle. We manage the core enterprise data infrastructure and curate foundational datasets from across AWS services transforming raw data into actionable information that provides visibility into the state of the AWS business.
We support the full data lifecycle ingestion transformation cataloging governance and consumption at massive scale. We process trillions of events per month using stream processing (Kinesis) billions of line items via distributed compute (EMR and Spark) and store petabytes of data in open table formats (Apache Iceberg) on S3 Tables and Redshift. Our purpose-built tooling handles data ingestion cataloging and discovery governance and self-service query access for internal service owners analysts scientists and AI agents.
We are increasingly leveraging generative AI and semantic layer technologies to make data more discoverable and queryable enabling natural-language access to datasets and AI-powered recommendations that surface actionable intelligence for our data consumers. Because we sit at the nexus of all AWS services we work closely across teams to ensure a great consumer experience. You will have the ability to craft and build AWSs data platform and supporting systems for years to come working at a scale where engineering decisions have meaningful far-reaching impact.
Data Infrastructure: Builds and maintains the infrastructure to answer questions with data using software engineering best practices data management fundamentals data storage principles recent advances in distributed systems and operational excellence best practices. Builds datasets that analysts and scientists use to generate actionable insights.
Key job responsibilities
- Build and maintain data infrastructure using software engineering best practices data management fundamentals data storage principles and operational excellence standards creating datasets that analysts scientists and AI systems use to generate actionable insights.
- Develop automation and tooling that improves the reliability scalability and efficiency of data processing workflows across EMR Spark Redshift and ingestion services.
- Design and implement data storage and compute solutions that balance cost performance and availability using distributed systems principles and open table formats (Hudi/Iceberg) to handle the ever-growing volume of AWS data.
- Own your services end to end: participate in on-call rotations debug production issues and continually reduce operational burden through directed engineering investments fewer SEV2s fewer manual interventions more automation.
- Collaborate with business owners and internal stakeholders to understand data requirements and translate them into scalable low-cost data flows from production systems into the data platform.
- Write design documents participate in architecture reviews and raise the engineering bar through design and code reviews.
A day in the life
Your primary focus is designing and building data infrastructure ingestion pipelines processing workflows and the tooling that keeps them reliable at scale. You will write design documents collaborate with teammates through code and architecture reviews and invest in automation that reduces operational burden over time. You will work with massive datasets at the intersection of all AWS services partnering with data engineers scientists and business intelligence teams who depend on the platform and the data it produces. On-call rotations are shared across the team; when issues arise the expectation is to fix forward resolving the immediate problem and improving the system so it does not recur.
About the team
You will work closely with teammates who jointly own these systems collaborating through design reviews shared on-call and paired problem-solving. You will also partner with cross-functional stakeholders across AWS who produce or consume the data we manage. The team values engineering rigor automation over heroics and continuous improvement. We invest in reducing operational toil so engineers spend their time on meaningful durable work.
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
**Why AWS** Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
**Inclusive Team Culture** Here at AWS we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and we host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
**Mentorship & Career Growth** We have a formal mentor search application that lets you find a mentor that works best for you based on location job family job level etc. Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
**Work/Life Balance** We offer flexibility in working hours and encourage you to find your own balance between your work and personal life. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- 1 years of software development engineer or related occupational experience
- 1 years of designing and developing large-scale multi-tiered multi-threaded embedded or distributed software applications tools systems and services using: C# C Java or Perl experience
- 1 years of Object Oriented Design experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics or a related field
- Experience operating highly available distributed systems of data extraction ingestion and processing of large data sets or experience with data infrastructures: relational analytic DBMS Elastic-Search and Big Data EMR/EC2/Glue/Lambda
- Knowledge of data engineering pipelines cloud solutions ETL management databases visualizations and analytical platforms
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 143700.00 - 194400.00 USD annually
Required Experience:
IC
About Company
At Amazon Web Services (AWS), we’re hiring an Engagement Manager to lead AWS consultants, partner, and client teams. Engagement Managers, manage and deliver AWS cloud products and services that enable our customers to realize their business objectives. These professional services enga ... View more
