Data Engineer II, AMZL-Central Learning Solutions - Data Engineering Team
Amazon (AI roles) · Bellevue, Washington, USA
No salary listed. Estimated from 520 salary-disclosed Sales & GTM roles on this board: $160K–$254K (interquartile range; estimate, not the employer's figure).
Apply at Amazon (AI roles)Find your warm intro on LinkedInAbout the role
The Central Learning Solutions - Technology team builds state-of-the-art Artificial Intelligence (AI) solutions for enhancing leadership and associate development within the organization. We develop products and mechanisms for measuring the impact of learning programs, improving the training content and recommending the personalized learning courses based on the post-training performance curves for different learner profiles.
Key job responsibilities
As a Data Enablement team within Central Learning Solutions, our key responsibilities encompass creating a single source of truth for both structured and unstructured data. This includes building comprehensive data lakes and data warehouses that enable science and AI applications to consume reliable data.
Our core focus areas include:
- Data Infrastructure: Maintaining robust pipelines and frameworks that ensure validated, true-source data with end-to-end documentation and tracking
- Self-Service Analytics: Producing proactive insights and vending actionable outcomes to customers
- Data Quality: Implementing validation mechanisms at each infrastructure layer to ensure trustable business insights
The Data Engineering team consists of four engineers working collaboratively to deliver highly reliable data infrastructure. We enable data access from multiple sources with real-time to near real-time ingestion, integrating learning data across systems to create a central repository for all LMS data, Kirkpatrick metrics, and L4 quality metrics.
This role involves working alongside three other engineers to build and maintain the data infrastructure that powers analytical consumption for Data Science teams, BI teams, SDE teams, and external line of business partners.
A day in the life
You'll independently work on user stories while coordinating with Software Development Engineering and Data Science teams on workflows, design, and data layer patterns. Collaborating with TPMs and Product Managers, you'll ensure data requirements are met while working within the single source of truth architecture.
Your responsibilities include maintaining data lakes, producing automation and orchestration tools, and contributing to build and launch exercises. Operating in sprints, you'll independently lead your assigned area, work on roadmaps, and cross-collaborate outside CLS Analytics teams to drive data engineering products and maintain infrastructure.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Central Learning Solutions Tech is a dedicated analytics, data engineering, data science, and software development team working with worldwide operations to build products that enable content creators to operate efficiently. We provide AI-driven insights and value to learners (under-the-roof associates ) , driving productivity and improving learning outcomes. Our team collaborates closely with content creators to deliver direct value for associates across the world through the products we create. - 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- Experience with data modeling, warehousing and building ETL pipelines
Key job responsibilities
As a Data Enablement team within Central Learning Solutions, our key responsibilities encompass creating a single source of truth for both structured and unstructured data. This includes building comprehensive data lakes and data warehouses that enable science and AI applications to consume reliable data.
Our core focus areas include:
- Data Infrastructure: Maintaining robust pipelines and frameworks that ensure validated, true-source data with end-to-end documentation and tracking
- Self-Service Analytics: Producing proactive insights and vending actionable outcomes to customers
- Data Quality: Implementing validation mechanisms at each infrastructure layer to ensure trustable business insights
The Data Engineering team consists of four engineers working collaboratively to deliver highly reliable data infrastructure. We enable data access from multiple sources with real-time to near real-time ingestion, integrating learning data across systems to create a central repository for all LMS data, Kirkpatrick metrics, and L4 quality metrics.
This role involves working alongside three other engineers to build and maintain the data infrastructure that powers analytical consumption for Data Science teams, BI teams, SDE teams, and external line of business partners.
A day in the life
You'll independently work on user stories while coordinating with Software Development Engineering and Data Science teams on workflows, design, and data layer patterns. Collaborating with TPMs and Product Managers, you'll ensure data requirements are met while working within the single source of truth architecture.
Your responsibilities include maintaining data lakes, producing automation and orchestration tools, and contributing to build and launch exercises. Operating in sprints, you'll independently lead your assigned area, work on roadmaps, and cross-collaborate outside CLS Analytics teams to drive data engineering products and maintain infrastructure.
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Central Learning Solutions Tech is a dedicated analytics, data engineering, data science, and software development team working with worldwide operations to build products that enable content creators to operate efficiently. We provide AI-driven insights and value to learners (under-the-roof associates ) , driving productivity and improving learning outcomes. Our team collaborates closely with content creators to deliver direct value for associates across the world through the products we create. - 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- Experience with data modeling, warehousing and building ETL pipelines
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