Software Development Engineer, Open Data Analytics - Engines
Amazon - Redmond, Washington, USA
Posted Jun 5, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $168K-$227K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
70% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Development Engineer, Open Data Analytics - Engines Redmond, Washington, USA Amazon Web Services Open Data Analytics (ODA) organization is looking for exceptional engineers to help in our mission to provide the world's best cloud Big Data processing platform and services such as EMR and Athena. The ODA engines team is looking for an experienced engineer to join the core engines and datalake team. Athena and EMR are services that our customer use to run large scale analytics, leveraging open source engines like Apache Spark and Trino, with datalake open table formats like Apache Iceberg, Hudi and Delta. The analytics engines organization makes significant modifications to these engines to run in serverless environments and with superior performance and scalability than what is available in Open Source. In the last 3 years we have improved our engines by a factor of 5x by making changes to the optimizer, query runtime and storage connectors. We have also made significant changes to the compiler to enable enterprise features like fine grain access control with these engines and table formats. Additionally, we strive to regularly contribute features, bug fixes and optimizations back to open-source, as well be current with the latest open-source versions of these frameworks. This is a “must-win” strategic area in a growing and very technical space. We are seeking a passionate and hands-on engineer to collaborate closely with open-source communities like Apache Iceberg and Apache Spark, driving innovations in query engines and table format integrations. In this role, you will focus
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